Engineering Jobs in Berkeley California

Position overview

Position title:
Postdoctoral Employee (003252)

Salary range:
The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table(s) for the current salary scale(s) for this position: . A reasonable estimate for this position is $66,737 - $74,425.

Percent time:
100% FTE

Anticipated start:
Fall 2025 to Spring 2026

Position duration:
Two year with the possibility of extension based on performance and availability of funding.

Application Window

Open date: October 4, 2025

Next review date: Wednesday, Mar 18, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Wednesday, Mar 18, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date.

Position description

The He lab is in the Molecular and Cell Biology department at UC-Berkeley, which encompasses a breadth of disciplines spanning all levels of organization and encompassing diverse organisms. The breath of training, combined with the unique location of Berkeley in the center of biomedical research, offer a nurturing environment for the next-generation scientist to launch on a successful career in biomedical research in academia and industry. The Principal Investigator, Dr. Lin He, was awarded the MacArthur Fellowship (the genius award), the Searle Scholar, a HHMI Faculty Scholar, and is currently a Thomas and Stacey Siebel distinguished chair professor at UC-Berkeley, and a biohub investigator with the Chan-Zuckerberg Initiative (CZI).

The developmental and physiological complexity of a given organism is not governed by the sheer number of protein-coding genes. In mammals, the numerous functional non-coding elements greatly expand gene regulatory modality and diversify functional reservoir. Using human genetics/genomics, mouse genetics/genomics, cell and molecular biology approaches, the He lab at UC-Berkeley has identified a variety of functional non-coding elements, including transposons and non-coding RNAs. Not only do non-coding elements offer important developmental/physiological functions, they also provide us with a unique angle to discover new biological/cellular processes in development and disease. Combining sophisticated genome engineering and innovative live cell imaging, we have pioneered in vivo studies to elucidate the new cellular functions and molecular mechanisms in development and aging. The discoveries of the He lab have been well recognized by publications in prestigious journals, including Nature, Science and Cell. Currently, there are postdoc openings in two projects.

Transposons in mammalian preimplantation development ~40% of mammalian genome originates from transposons, whose abundance greatly exceeds that of protein genes. While historically viewed as degenerated "parasitic" DNAs, transposons yield numerous functional elements for the host genome. These sequences resulted from ancient invasion confer new mechanisms of gene regulation, generate Neogene/ncRNA functions, and provide raw material for genome innovation. Mammalian preimplantation embryos constitute one of the best systems to study transposon-host interactions, as ~20% of their transcriptome results from transposon induction. We aim to characterize the role of specific transposons in preimplantation embryos.

Transposons in aging and disease While specific transposons are integral components of host biology, most mammalian transposons are potentially detrimental to the host genomes, thus inactivated via degenerative mutations and/or transcriptional/post-transcriptional silencing. Interestingly, aberrant transposon induction has been observed in a variety of pathological conditions, including aging, cancer and infection. We aim to investigate the mechanisms underlying transposon dysregulation during reproductive aging and cancer, and to elucidate the effects of transposon-host interactions that accelerate aging and promote cancer.

Postdoc responsibilities:

1) The postdoc will work with the PI to develop a project in one of the two research directions, to comprehensively read literature, to establish appropriate experimental systems, to learn important technologies, and to execute experiments to advance the project and perform data analyses.

2) The postdoc will meet with the PI on a weekly basis to discuss results, to development experimental plans.

2) The postdoc will work with junior lab members to mentor them on specific experimental techniques .

3) The postdoc will contribute to lab duties, which is evenly distributed among all lab members.

Lab:

Qualifications

Basic qualifications (required at time of application)

PhD (or equivalent international degree) or enrolled in a PhD degree program (or equivalent international degree)

Additional qualifications (required at time of start)

Ph.D. (or equivalent international degree) required by the appointment start date. No more than three years of post-degree research experience by the start date.

Preferred qualifications

Ph.D. in developmental biology, Genetics, Genomics, Cell Biology, Molecular Biology, Biochemistry or related field are all welcome to apply. Prior research experiences in mammalian development and disease are preferred.

Application Requirements

Document requirements

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.
  
  (Optional)

  
  

Reference requirements

• 3-5 required (contact information only)

Apply link:
JPF05057

Help contact:

About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Job location
Berkeley, CA

Business Overview

KINESSO is the technology-driven performance marketing agency providing actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, P3, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. We have extensive offerings spanning across performance marketing and data and technology. Fueled by a deep understanding of consumer behavior, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countries. Learn more at Summary

We are seeking a Staff Software Engineer to spearhead the design and development of a next-generation AI Chat Application that will serve as an enterprise-wide assistant. This application will support a diverse range of organizational functions-including HR, Finance, Business Strategy, Ad Tech, and MarTech-empowering employees with intelligent, context-aware AI capabilities to streamline daily work.

As the Staff Software Engineer, you will guide the technical direction, mentor engineers, and partner with cross-functional teams to deliver a scalable, secure, and high-performing platform.

Responsibilities

• 
  
• Lead Architecture & Development: Define and implement the architecture for an AI-driven chat platform leveraging Python, GCP, and AI services.
  
• Team Leadership: Mentor and guide a team of engineers, driving technical excellence, collaboration, and delivery.
  
• LLM Integration: Build and optimize solutions with LLM foundational models to support natural language understanding, contextual reasoning, and multi-domain workflows.
  
• Partner with Product Owners: Collaborate closely with product owners to assess technical feasibility, translate business needs into actionable engineering requirements, and ensure alignment with overall product strategy.
  
• Scalability & Reliability: Ensure the system is designed with enterprise-grade security, scalability, and compliance in mind.
  
• Innovation: Explore and adopt emerging practices in prompt engineering, multi-agent coordination (MCP/LLM agents), and applied AI to continuously evolve the platform.
  

Required Skills & Experience

• 
  
• 12+ years of software engineering experience building production-grade applications.
  
• 7+ years of experience with Java (Python experience strongly preferred).
  
• 3+ years of experience leading or managing engineering teams.
  
• Strong grasp of object-oriented programming, data structures, algorithms, and design patterns.
  
• Experience designing and building scalable APIs (REST, GraphQL, gRPC) and modular, extensible architectures.
  
• Hands-on experience with relational and NoSQL databases (e.g., MSSQL, PostgreSQL, DynamoDB).
  
• Familiarity with messaging and event-driven platforms like Kafka, Temporal for real-time systems.
  
• Strong expertise in GCP and integrating AI services with LLM foundational models.
  
• Experience with AI-powered developer tools (e.g., GitHub Copilot, Claude) to improve productivity and code quality.
  
• Strong troubleshooting, communication, and documentation skills, with a bias for secure, observable, and maintainable solutions.
  
• Comfortable working in Agile/Scrum environments with cross-functional teams.
  

Desired Skills & Experience

• 
  
• Experience with context engineering and fine-tuning AI/LLM outputs.
  
• Familiarity with Model Context Protocol (MCP) for LLM agent orchestration.
  
• Knowledge of LLM agent frameworks for building multi-step, reasoning-driven AI systems.
  
• Experience in enterprise-grade security and compliance frameworks.
  

Wage and Benefits

We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications.

Employment Transparency

It is the policy of our company to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.

For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with our company, please email .

Salary Range$180,000—$200,000 USD

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

This role sits at the intersection of advertiser experience and ad creative, owning the tools and workflows that help advertisers create, manage, and optimize the right ad for the right Pinner at scale. You'll shape how creative assets are uploaded, organized, and activated across campaigns, including new AIpowered and automated solutions. Your work will directly impact how efficiently advertisers of all sizes can create onbrand, highperforming campaigns, and will be a key driver of Pinterest Ads revenue growth.

What you'll do:

• 
  
• Own and evolve core surfaces in Ads Manager, where advertisers of all sizes plan, buy, optimize, and measure their campaigns.
  
• Build endtoend solutions that help advertisers upload, manage, and promote ad creatives, including creative libraries, templates, and creative automation tools.
  
• Partner closely with engineering, design, data science, marketing, sales, and operations to define, align on, and ship improvements for both selfserve and managed advertisers, across global markets.
  
• Deeply understand advertiser and agency workflows through research, data, and customer conversations; translate those insights into clear product requirements and roadmaps.
  
• Explore and ship AIpowered and automated creative solutions that help advertisers scale highquality Pinterestnative creative.
  

What we're looking for:

• 
  
• Experience with digital advertising and performance marketing: You understand performance ads concepts (e.g., optimization goals, bidding, attribution, creative testing) and how creative impacts performance.
  
• Strong product discovery skills: You're comfortable talking to customers, mapping workflows, validating problems, and translating insights into clear product strategies and roadmaps.
  
• Proven success leading crossfunctional teams: You've driven alignment and shipped products with engineering, design, marketing, sales, and operations partners in a fastpaced environment.
  
• Comfort with ambiguity and a bias for action: You can bring clarity to ambiguous problem spaces and move quickly while keeping stakeholders informed.
  
• Excellent communication of complex topics: You can explain technical concepts and tradeoffs to nontechnical audiences and drive clear decisions.
  
• Bachelor's degree in a relevant field such as Computer Science, or equivalent experience
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE
#LI-REX

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$139,764—$287,749 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Position overview

Position title:
Lecturer

Salary range:
The starting, full-time equivalent annual salary rate ranges from $79,887 - $128,194 , depending on experience. Appointments are typically made at 25% time for 2-unit courses, 33% time for 3-unit courses, and 42% time for 4-unit courses, for a period of 5 months. This salary rate will increase in subsequent terms in accordance with the terms of the labor contract.

Percent time:
Percent time 12.5% to 100% time

Anticipated start:
Positions typically start in January, August, and occasionally June.

Review timeline:
Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.

Position duration:
Initial position duration is for up to one year, with possibility for renewal. Appointments may be renewed based on need, funding, and performance.

Application Window

Open date: March 4, 2026

Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Thursday, Mar 4, 2027 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Position description

The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach on-campus courses in the Master of Information Management and Systems. We seek exceptional instructors with professional and/or academic expertise who can teach courses for I School doctoral and master's level students and other UC Berkeley graduate students in related fields, as well as undergraduate courses. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester, depending on the needs of the School.

Applicants will be selected from this pool for the academic year (including summer sessions), when there is curricular need. Positions typically start at the beginning of the semester, and appointments may be renewable based on need, funding, and performance. This is a primarily in-person role that typically requires physical presence on the UC Berkeley campus, although alternative modalities may be authorized for instruction when conditions require.

Please Note:

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

About the I School

The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. The faculty comprises a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.

The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The online MIDS program trains data scientists to manage and analyze the coming onslaught of big data in a unique high-touch online degree. The online MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement, and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.

We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in cybersecurity.

If you are an enthusiastic educator or practitioner passionate about shaping the next generation of information leaders, we encourage you to join our exceptional instructional team.

Responsibilities Include:

Designing and Delivering Engaging Classes: Plan and lead dynamic in-person sessions emphasizing active learning. Facilitate meaningful discussions, group activities, and hands-on exercises that deepen students' understanding and application of key concepts.

Creating a Cohesive Course Experience: Develop a comprehensive syllabus outlining learning objectives, assessments, assignments, and expectations. Ensure all course elements, including lectures, materials, and activities, align with program goals and foster a cohesive student learning experience.

Facilitating Student-Centered Learning: Provide personalized support through office hours, one-on-one meetings, and guidance throughout the semester to address individual student needs and ensure academic success.

Designing and Refining Course Materials: Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment.

Providing Constructive Feedback: Deliver timely, thoughtful, and actionable feedback on student assignments, projects, and assessments to promote continuous improvement and mastery of course competencies.

Managing Course Operations: Organize and communicate key course components, such as schedules, assignments, grading policies, and classroom logistics, to ensure a smooth learning experience for all students.

Collaborating with Instructional Teams: Participate actively in team meetings to share teaching strategies, address challenges, and ensure alignment on instructional practices. Attend faculty meetings to stay connected with program initiatives and goals.

Promoting Inclusion: Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.

Please Note:

The use of a lecturer pool does not guarantee that an open position exists. See the review date in AP Recruit to determine whether applications are currently being reviewed. If no future review date is specified, your application may not be considered at this time.

UC Berkeley has several policies and programs to support all employees as they balance work and family.

Program: programs/mims

Policies and Programs to Support All Employees: support-faculty/family-responsive-policies-benefits-programs-and-resources

Course Descriptions: courses/info

Qualifications

Basic qualifications (required at time of application)

A bachelor's degree (or equivalent international degree).

Additional qualifications (required at time of start)

Minimum of 4 years professional experience in the relevant field.

Minimum of 2 years experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.

Preferred qualifications

An advanced degree in a field such as Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, Human-Computer Interaction, or Design.

10 + years of professional experience in Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, Human-Computer Interaction, or Design.

Multiple years of demonstrated excellence in teaching college-level courses.

Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.

Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.

Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.

Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.

Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.

Professional and teaching experience in at least one of the following core areas (please see course descriptions online):

• 
  
• Algorithmic Fairness and Bias Mitigation
  
• Blockchain and Decentralized Systems
  
• Cloud Computing and Scalability
  
• Cybersecurity and Information Assurance
  
• Data Analysis and Visualization
  
• Data Engineering and Analysis
  
• Digital Ethics and Societal Impact
  
• Digital Transformation in Organizations
  
• Ethical Technology and Responsible AI
  
• Generative AI and Its Applications
  
• Human-AI Collaboration
  
• Human-Computer Interaction (HCI)
  
• Information Policy
  
• Machine Learning
  
• Natural Language Processing (NLP)
  
• Privacy-Preserving Technologies
  
• Product Management
  
• Smart Cities and Urban Informatics
  
• Social and Technical Innovation in Entrepreneurship
  
• User-Centered Design
  
• Other Areas of Information Science and Systems
  

Application Requirements

Document requirements

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching Interests/Experience/Approach - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This may include, for example, fostering student success, connecting theory to practice, contributions to advancing an inclusive learning environment for all students, facilitating student-centered learning, or practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.

  
  
  

  The statement should highlight areas of expertise, and any experience with online or technology-enhanced teaching.

  
  
  

  Please indicate which class(es) you believe you are qualified to teach.

  
  

• Teaching Evaluations, if available (Optional)

  
  

Reference requirements

• 3 required (contact information only)

Apply link:
JPF05269

Help contact:

About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Job location
Berkeley, CA

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Team & Mission

The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, finegrained access controls, centralized privacy rules enforcement, and deidentification pipelines for conversion data. Our mission is to make conversion data privacypreserving by default-centralized, deidentified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape.

Role Summary

We're seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and deidentification for ads reporting. You'll own the endtoend design and evolution of privacycritical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale.

What you'll do:

• 
  
• Lead the technical strategy and architecture for conversion data privacy across access controls, deidentification, deletion, and privacy rules enforcement, driving toward a centralized, deidentifiedbydefault, automated privacy platform for monetization.
  
• Design and evolve core privacy infrastructure including controlled environments for sensitive data, finegrained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines.
  
• Own deidentification pipelines for ads reporting endtoend-from separating sensitive and nonsensitive data, applying deidentification techniques and transformations, and generating privacypreserving datasets, to validating data utility and feeding reporting and analytics surfaces.
  
• Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and selfservice for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases.
  
• Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., deidentification quality, optout metrics, data leakages), leading incident response, and developing performant deletion and leakagehandling workflows that meet regulatory and audit requirements.
  
• Partner crossfunctionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear tradeoffs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users.
  
• Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacysensitive areas, and establish best practices and documentation for privacybydesign, deidentification, and largescale data systems.
  

What we're looking for:

• 
  
• BS+ in Computer Science (or related field) or equivalent practical experience.
  
• 8+ years of professional software engineering experience, with a focus on largescale data systems or distributed systems.
  
• Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus.
  
• Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization.
  
• Meaningful experience in at least one of: privacypreserving data systems (e.g., deidentification, kanonymity), ads measurement/attribution, or largescale analytics/experimentation platforms.
  
• Proven ability to drive crossteam technical initiatives from design through rollout, working closely with product, data science, and nonengineering partners (e.g., Legal, Compliance).
  
• Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, highimpact problem spaces.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-KK6

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$177,185—$364,795 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Pinterest's Security team is seeking an experienced Security Software Engineer to help keep our 619 million monthly active users safe from real-world threats. You will build tooling, product enhancements, and work with teams to improve our overall security posture and enhance our secure development lifecycle. We are looking for a candidate with a passion for security and innovation, who will research and develop new solutions to secure our products.

What you'll do:

• 
  
• Design and build out our rules, processes, and platform for our secure development lifecycle.
  
• Deliver and review code that is well-documented, tested, and operable.
  
• Work cross function to architect scalable and secure solutions to a variety of Pinterest's problems.
  
• Conduct regular security assessments including design reviews.
  
• Help rework our existing controls to address increased productivity due to AI and new AI threats.
  

What we're looking for:

• 
  
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  
• 5+ years of experience in product security, application security, or security related software engineering role.
  
• Enthusiasm for the constant fight to ensure security and privacy.
  
• Proficiency in a dynamic programming language such as Python.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  
• This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-JT1

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$155,584—$320,320 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Position overview

Position title:
Bellwether Postdoctoral Scholar

Salary range:
The UC postdoc salary scales set the minimum pay determined by experience level at appointment. See the following table for the current salary scale for this position: . The current minimum salary range for this position is $69,073-$74,281. Salaries above the minimum may be offered when necessary to meet competitive conditions. A reasonable estimate for this position is $10,000 higher than the posted minimum, dependent on experience level at appointment.

Percent time:
100%

Anticipated start:
As soon as July 2026. Exact start date contingent on completion of degree and is also negotiable.

Review timeline:
Review will begin in March and finish in April.

Position duration:
2 years.

Application Window

Open date: February 13, 2026

Next review date: Friday, Mar 20, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 20, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date.

Position description

The School of Information at the University of California, Berkeley invites applications for up to three new full-time Bellwether Postdoctoral Scholars to start as soon as July 2026. The exact start date is negotiable. These positions are available for two years, and are non-renewable. J-1 visa sponsorship is available for this position.

These postdoctoral positions are for academics in the early stages of their career who demonstrate exceptional potential as a scholar and researcher. Applicants should either have completed a doctoral degree, or be able to convincingly demonstrate that they will complete the degree before they intend to start this postdoctoral position (e.g. by documenting a scheduled viva/final defense).

We are seeking applicants with active research plans in any of the following areas:

BPS 1) We seek applicants pursuing a research agenda at the intersection of computer science and applied economics, with interdisciplinary training and interests in both topics. The successful applicant will work on projects that address pressing policy issues, using a mix of quantitative and computational methods (e.g., econometrics, data science, AI/ML). Examples of active projects include, but are not limited to, developing theory and methods for robust and equitable decision making in social settings; the use of machine learning and digital data to guide resource allocation and related policies in low-income countries; and creating and validating new techniques for monitoring living standards and well-being in high-stakes policy environments. This position will be supervised by Joshua Blumenstock.

BPS 2) We seek applicants with interdisciplinary training and interests pursuing a research agenda at the intersection of information science, computational social science, and public-interest research. The successful applicant will work on projects that examine how sociotechnical information systems shape high-stakes decision-making across digital and institutional contexts to address pressing issues in information access, trustworthiness, and credibility, using a mix of computational, quantitative, and qualitative methods (e.g., natural language processing, digital trace data, surveys, and interviews). Examples of active projects include, but are not limited to, studying online communities as informal information infrastructures; analyzing how search engines and digital platforms structure the visibility and credibility of information; developing methods to monitor and contextualize misinformation and uncertainty in sensitive or politicized domains; and advancing conceptual frameworks for understanding information ecosystems as structural determinants of equity, autonomy, and well-being, including but not limited to health-related contexts. This position will be supervised by Coye Cheshire.

BPS 3) We seek applicants with active research plans in climate and sustainability informatics, leveraging information and/or information tools to empower individuals, communities, and organizations in tackling the challenges of climate change and biodiversity conservation. We welcome applicants with strong backgrounds in one or more of the following areas: remote sensing, ML, NLP, HCI, participatory design, design research, biosensory computing. The successful applicant will become a core member of the IceBerk Lab ( ), and be supervised by John Chuang, with possible co-supervision by another IceBerk faculty member where appropriate.

BPS 4) The Cultural Analytics group seeks postdoc applicants to conduct data-driven research across archival heritage and born-digital media. Current projects include, but are not limited to: (i) the study of narrative, belief and resonance, where the goal is to understand how narrative is mutually constitutive of beliefs, and how narrative resonates in and across communities of belief; (ii) extracting narrative elements from literary works, with a strong focus on complex corpora such as the Icelandic sagas to understand composition and social modeling in late medieval fiction; (iii) further developing the approach of archetyptonics along with the SOCKS project at University of Vermont's Complex Systems Center; and (iv) refining a search engine for popular dance, where the search term is the dancer's sequence of poses, here focusing on Kpop dance. Ideal candidates bridge Computational Humanities/Social Science Computing (ML, Networks, and/or Computer Vision) with a qualitative theoretical background. You will be supervised by Tim Tangherlini (with potential I-School co-supervision), and be associated with the Berkeley Institute for Data Science (BIDS) and the AI Futures Lab. We welcome applicants with active research plans ready to contribute to a vibrant, interdisciplinary environment.

BPS 5) The goal of this postdoctoral position is to contribute to the development of an empirically-backed theoretical understanding of how people understand and make sense of the combination of graphic and textual information. We seek a scholar with expertise in some combination of information visualization, the psychology of reading and/or diagram interpretation, and cognitive science or neuroscience more generally to investigate human conception at the intersection of language and information visualization. Expertise in conducting and analyzing eye gaze is a requirement of the position. Expertise or interest in multimodal information, both cognitively and in large vision and language models is a plus. The mentor for this position is Professor Marti Hearst.

BPS 6) Seeking postdoc applicants with a passion for and commitment to equity-driven co-design with local marginalized Indigenous communities. A successful applicant will work on projects that weave together Indigenous knowledge, experiences, and values that address public-facing outcomes, such as informal science education programs and exhibits at local museums and cultural centers. The applicant will help develop theory and methods for world-building equity that integrate marginalized communities' cultural and social struggles. We are seeking applicants with the following attributes: strong background in co-design with marginalized communities, design research, qualitative methods, and experience building mixed reality systems. Knowledge of Indigenous research methods is a plus. This position will be supervised by Kimiko Ryokai.

The Bellwether Postdoctoral Scholar program is designed to allow exceptionally promising young researchers the time to develop their own research while collaborating with leading established faculty. It is designed to accelerate careers, and to maximize the ability of Bellwether Postdoctoral Scholars to build independent research trajectories. To accomplish this, a portion (30-40%) of each post-doc's time will be reserved for their own independent research and publication efforts, including publishing results from their dissertation.

Additionally, all Bellwether Postdoctoral Scholars will work with a mentor or mentors on research projects in the areas listed above (60-70%), all of which are either already active or will be at the time of the start of the post-doc. All have significant publication opportunities planned.

These postdoctoral positions are research-focused and do not include teaching. However, all post-docs will be given opportunities for guest lecturing and will be expected to give public talks about their research. Post-docs will also contribute to planning and hosting public talks for others, and will be expected to be active participants in I School academic events such as research talks.

Each postdoctoral scholar will have access to up to $5,000 annually for research expenses and travel to professional conferences and research opportunities. A laptop computer will also be provided for the duration of the post-doc.

For all of the above positions, we only seek candidates with excellent research and leadership abilities and a commitment to contributing to the UC Berkeley I School and the field of information more broadly while accelerating their career.

The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. Faculty comprise a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.

The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The MIDS program trains data scientists to manage and analyze the coming onslaught of big data, in a unique high-touch online degree. The MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement; and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.

UC Berkeley has an excellent benefits package as well as a number of policies and programs to support employees as they balance work and family, if applicable.

School:

School: about/community

Qualifications

Basic qualifications (required at time of application)

PhD (or equivalent international degree), or enrolled in a PhD or equivalent international degree-granting program at the time of application.

Additional qualifications (required at time of start)

PhD (or equivalent international degree) required by start date.

No more than three years of postdoctoral research experience.

Application Requirements

Document requirements

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter - 1-2 pages. Required elements of your cover letter include:

  
  
  

  which position(s) you are applying for (e.g. BPS1 or BPS5);
  
  when you would be available to start your postdoctoral work;
  
  a clear articulation of your fit with the UC Berkeley I School, addressing how your expertise overlaps with, enhances, or expands upon the research area indicated for your position(s) of interest. Please include names of any mentors that you would like to work with beyond the project supervisor.

  
  

• Statement of Research - 2-3 pages. Includes a description of the focus of your planned independent research and publications during the post-doc, what resources would you need to do that work, and an explanation of how the research builds on and goes beyond work you have already done.

  
  

• Writing Sample - Preferably a pre- or post-print of a first-authored publication.

  
  

Reference requirements

• 3-5 required (contact information only)

We may contact your references at any stage in the hiring process unless you request otherwise. Please only provide contact information and do not request letters be sent at the time of application. Letters will be solicited for all finalists.

Apply link:
JPF05222

Help contact:

About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Job location
Berkeley, CA

Position overview

Salary range:
The starting, full-time equivalent annual salary rate is currently $140,169. Appointments are typically for one to three sections per term, up to three terms per year, resulting in total compensation of approximately $8,181 per section at 17% FTE per academic term, as of Summer 2025. This salary rate will increase in subsequent terms in accordance with the terms of the labor contract.

Percent time:
Percent time 10% to 100% time

Anticipated start:
Positions typically start in January, May, and August.

Review timeline:
Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.

Position duration:
Initial position duration is for up to one year, with the possibility for renewal. Appointments may be renewed based on need, funding, and performance.

Application Window

Open date: March 4, 2026

Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Thursday, Mar 4, 2027 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Position description

The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach online courses in the Master of Information and Data Science (MIDS) program. We seek exceptional instructors with professional and/or academic expertise who can lead small, highly interactive sections of around 17 graduate students in this innovative, online program.

Courses in the MIDS program are pre-designed and structured, allowing instructors to focus on delivering dynamic and engaging learning experiences while providing valuable expertise to enhance student outcomes. Screening of applicants is ongoing and will continue as the program's needs evolve. The number of available positions may vary by semester based on the School's requirements.

Please Note:

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

About The I School

The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. The faculty comprises a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.

The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The online MIDS program trains data scientists to manage and analyze the coming onslaught of big data in a unique high-touch online degree. The online MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement, and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.

We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the virtual classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in the rapidly evolving field of data science.

If you are an enthusiastic educator or practitioner passionate about shaping the next generation of data science leaders, we encourage you to join our exceptional instructional team.

The instructor role is an exciting opportunity to contribute to the success of graduate students in cutting-edge online MIDS master's programs at UC Berkeley's School of Information.

Responsibilities Include:

Delivering Engaging Online Classes: Plan and lead synchronous sessions that emphasize active learning. Facilitate meaningful discussions, collaborative group activities, and practical exercises that enhance students' understanding and application of core concepts.

Facilitating Student-Centered Learning: Provide personalized support to students by holding virtual office hours, moderating online discussions, and leveraging student analytics to identify and support individual learning needs.

Designing and Refining Course Materials: Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment.

Providing Constructive Feedback: Deliver timely, actionable feedback on student assignments and projects to promote growth and mastery of key competencies.

Maintaining Course Operations: Use the learning management system (LMS) and other educational technology tools to manage course websites, post assignments, and communicate with students effectively.

Collaborating with Faculty Teams: Actively participate in course meetings to align instructional practices, address challenges, and share innovative teaching strategies. Attend monthly or bi-monthly faculty meetings to stay connected with program goals, initiatives, and effective online teaching pedagogy.

Advancing Online Pedagogy: Engage in faculty development programs to stay current on the latest research, tools, and practices for effective online teaching. Share insights to enhance the overall learning experience.

Promoting Inclusion: Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.

Please note:

The use of a lecturer pool does not guarantee that an open position exists. See the review date in AP Recruit to learn whether the school is reviewing applications for a specific position. If no future review date is specified, your application may not be considered at this time.

UC Berkeley has several policies and programs to support all employees as they balance work and family.

Program:

Policies and Programs to Support All Employees: support-faculty/family-responsive-policies-benefits-programs-and-resources

Course Descriptions: courses/datasci

Qualifications

Basic qualifications (required at time of application)

A bachelor's degree (or equivalent international degree).

Additional qualifications (required at time of start)

Minimum 4 years of professional experience in the relevant field.

Minimum 2 years of experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.

Preferred qualifications

An advanced degree in Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related field.

10 + years of professional experience in fields such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related fields.

Multiple years of demonstrated excellence in teaching college-level courses, including experience with online instruction.

Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.

Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.

Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.

Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.

Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.

Teaching or in-depth knowledge and experience in at least one of the following core areas (please see course descriptions):

• 
  
• Applied Cloud Computing for Data Science
  
• Applied Machine Learning
  
• Applied Statistics(R)
  
• Capstone Projects - real-world projects and industry collaboration
  
• Computer Vision
  
• Data Visualization and Communication
  
• Deep Learning and Neural Networks
  
• Edge and IoT Data Science
  
• Experiments and Causal Inference
  
• Fundamentals of Data Engineering
  
• Generative AI
  
• Introduction to Data Science Programming (Python)
  
• Leadership in Data-Driven Transformation
  
• Machine Learning at Scale
  
• Machine Learning Systems Engineering
  
• Natural Language Processing with Deep Learning
  
• Privacy, Security, and Ethics in Data Science
  
• Regression and Time Series Analysis
  
• Research Design and Data Analysis
  
• Scalable Data Mining and Analysis
  
• Statistical Methods for Discrete Response, Time Series, & Panel Data
  
• Special Topics such as: AI for Sustainability, Autonomous Systems and Robotics, Data, Human-Centered Data Science, Spatial Data Science, Time-Series Analysis and Forecasting
  

Application Requirements

Document requirements

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching Interests/Experience/Approach - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This can include, for example, fostering student success, connecting theory to practice, advancing an inclusive learning environment for all students, facilitating student-centered learning, or providing practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.

  
  
  

  The statement should highlight areas of expertise and any experience with online or technology-enhanced teaching.

  
  
  

  Please indicate which class(es) you believe you are qualified to teach.

  
  

• Teaching Evaluations, if available (Optional)

  
  

Reference requirements

• 3 required (contact information only)

Apply link:
JPF05270

Help contact:

About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Job location
Berkeley, CA, or remote (US-based).

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We are looking for a Staff Product Designer to lead Closeup, one of Pinterest's highest leverage consumer surfaces. It is the moment where inspiration turns into action. This role gives you direct ownership over a core, high-traffic experience used by millions of Pinners, where great design can meaningfully shift both user value and business outcomes. The work is inherently crossorg and highly visible. Closeup sits at the intersection of the Pinterest home feed, search, shopping, visual search, and more. You'll collaborate with senior partners across product, engineering, research, and adjacent design teams, building influence quickly and becoming a go to design leader for end-to-end experience decisions.

What You'll Do

• 
  
• Own end to end Closeup design: Lead design for key Closeup experiences across iOS, Android, and web, from early exploration through launch and iteration
  
• Drive product outcomes through design: Partner with cross functional leads to define goals, metrics, and experiment plans, and ship improvements that increase user value and measurable impact
  
• Simplify complex, modular experiences: Improve information hierarchy, interaction patterns, and module behavior across many Pin types and use cases, balancing relevance, clarity, and actionability
  
• Partner across teams and systems: Work closely with adjacent teams (Home, Search, Visual Search, Gestalt) to align patterns and deliver a cohesive experience across the product
  
• Prototype and iterate quickly: Use Figma and interactive prototyping to explore options, validate direction, and accelerate decision making with partners
  
• Raise the craft bar: Lead critiques and reviews, set a high standard for interaction and visual design, and mentor other designers through feedback and collaboration
  
• Design for inclusion and trust: Ensure Closeup experiences are accessible, inclusive, and designed with content quality and safety considerations where needed
  

What We're Looking For

• 
  
• Bachelor's degree in design, a related field or equivalent experience
  
• 8+ years of product design experience, with ownership of significant consumer product surfaces
  
• A portfolio showing strong interaction design, visual craft, and systems thinking, with work that has shipped and iterated based on feedback or data
  
• Demonstrated ability to lead ambiguous problems, set direction, and drive alignment across senior cross functional partners
  
• Experience designing for mobile and platform considerations, with strong product judgment and attention to detail
  
• Comfort working in an experimentation and measurement driven environment, including defining hypotheses and learning from results
  
• Excellent communication skills, including the ability to articulate tradeoffs, present clearly, and influence decisions
  
• Demonstrated commitment to inclusion, accessibility, and crafting systems that serve diverse audiences
  

Bonus Points For

• 
  
• Experience owning a high traffic detail, viewer, or consumption surface (content detail pages, product pages, media viewers)
  
• Experience with shopping evaluation, trust signals, or decision support UX
  
• Familiarity with personalization and ranking constraints, or designing modular experiences at scale
  
• Strong accessibility expertise and examples of inclusive design leadership
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  
• This role will need to be in the office for in-person collaboration 1-2 times every 6-months, and therefore can be situated anywhere in the country.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-BL5

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$158,765—$326,870 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Pinterest is looking for a Sr. Staff Quantitative Researcher (Quant UXR) to lead quantitative research at the intersection of our consumer- and advertiser-facing orgs. We're looking for a seasoned quantitative researcher ready to identify the most important ecosystem-level questions and to create and execute a learning agenda to address them. In this role, you'll bring expertise in behavioral analysis, statistical modeling, and survey methods to design, execute, and communicate strategic research on a deadline in a fast-paced environment. You'll uncover opportunities and solutions that balance engagement and revenue goals, present your results to senior audiences, and partner with other leaders to develop strategy that executes on our learnings. With this role, you'll have ownership of a broad problem space, autonomy to set and execute the learning agenda, and impact over the holistic Pinner experience.

What you'll do:

• 
  
• Work across monetization teams and as needed collaborate with consumer facing orgs to define and address complex, monetization impacting ecosystem - questions with implications for the business and overall user experience
  
• Proactively guide teams to the most important questions and problems to address for users and/or the business; set the quantitative learning agenda for Monetization and decide on the best approaches to address it
  
• Prioritize and conduct quantitative research that varies in approach, scale, scope, timeframe and methodology, while balancing effort against priority and impact
  
• Explore the intersection of perceptions/attitudes and behaviors through surveys and deep behavioral analysis
  
• Participate in the development of user-centric metrics for Monetization teams while aiding in the development of core centric user metrics
  
• Elevate topics from the learning agenda that would be best to present to senior leadership and tailor deliverables and socialization efforts for these audiences.
  
• Bring together a holistic understanding of the problem space from behavioral analyses, experiment learnings, qualitative insights, and own work to inform product and business decisions
  
• Lead strategic initiatives and actively engage in the development of strategy with Product, Design, Engineering, and Data Science partners
  
• Partner with research managers to set the quantitative research direction and provide guidance to more junior quantitative researchers
  
  

What we're looking for:

• 
  
• Bachelor's/Master's degree in a relevant field such as human computer interaction or psychology or equivalent experience
  
• 7+ years of experience in quantitative product/user experience research with experience leading end-to-end quantitative research studies; an advanced degree in Statistics, Mathematics, or Economics is a plus but not required
  
• Experience with Ad product development/UX research preferred
  
• Knowledgeable of relevant statistical concepts (significance testing, regression/linear models).
  
• Experience with a wide range of quantitative research approaches and methods, experimentation at scale, various survey methodologies and advanced data techniques (Max Diff, Conjoint, Segmentations, Drivers Analysis)
  
• Experience with longitudinal analysis, multilevel/mixed effects modeling, and survey weighting and strong SQL and Quantitative Programming skills (R, Python, etc.).
  
• Ability to synthesize data from multiple sources (surveys, behavioral, 3rd party) to craft clear insights with strategic business impact)
  
• Strong storytelling skills with experience turning data into actionable insights and socializing across different departments (from ad sales executives to data scientists to high-level executives)
  
• Adept communicator with a bias toward action and an excellent collaborator, able to build strong relationships within various cross functional teams within and outside of the monetization org.
  
• Self-starter and problem solver who proactively partners with other (qual and quant) researchers and cross-functional partners, including Product, Data Science, Finance, Product Marketing, Content, Sales, Marketing, Comms, and Brand, to develop new research initiatives with high comfort working in ambiguity
  
• Knows how to 'right size' research approach, i.e., when to deploy tried and tested tools and when to try something new
  
• PhD preferred, in computational social sciences (e.g. Economics, sociology, psychology), statistics, computer science, related field, or equivalent practical experience
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-BL5

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$163,639—$336,903 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.