Engineering Jobs in Piedmont, CA

235 positions found — Page 6

Machine Learning Engineer, Monetization Engineering
✦ New
Salary not disclosed
San Francisco, CA 1 day ago

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.

With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.


Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.


What you'll do:



  • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  • Work in a high-impact environment with quick experimentation and product launches
  • Keep up with industry trends in recommendation systems
  • Leverage LLMs to enhance content understanding


What we're looking for:



  • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  • Degree in computer science, machine learning, statistics, or related field
  • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  • Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  • Nice to have:


    • Publications at top ML conferences
    • Expertise in scalable realtime systems that process stream data
    • Passion for applied ML and the Pinterest product
    • Background in computational advertising




Relocation Statement:



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


#LI-HYBRID


#LI-SM4

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$163,418—$285,982 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.

Not Specified
Lecturer - Health or Conservation - Fung Institute for Engineering Leadership /College of Engineering
✦ New
Salary not disclosed
Berkeley, CA 1 day ago
Position overview

Salary range:
The UC academic salary scales set the minimum pay at appointment. See the following table for the current salary scale for this position: . The current full-time salary range for this position is $75,301 - $199,722. Starting salary will be commensurate with highest degree, past college-level teaching experience, relevant industry experience and equity within the department.

Percent time:
17% -33%. Instructors teaching one course with three hours of lecture per week during the semester will normally be appointed at 33% time; exact percentages depend on contact hours and other assigned duties.

Anticipated start:
Fall semester (only): 8/1/2025-12/31/2025

Spring semester (only): 1/1/2026-5/31/2026

Academic-Year Appointments: 7/1/2025-6/30/2026

Review timeline:
Applications will be accepted and reviewed for department needs, through the final date. We typically review applications for annual course needs in February and August. If you wish to remain in the pool after the final date you will need to reapply.

Position duration:
Initial appointments may be for one semester or a full academic year.

Application Window


Open date: June 10, 2025




Most recent review date: Wednesday, Jun 25, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.




Final date: Thursday, Oct 1, 2026 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 Fung Fellowship at the University of California, Berkeley invites applications for a pool of part-time lecturer positions in Design and Technology Innovation should an opening arise. We seek candidates that have experience to teach a 3-unit fall and/or spring course for undergraduates who have been selected for the Fung Fellowship for Technology Innovations, a one-year program that develops leadership, teaming, storytelling, technology innovation, and human centered design. This lecturer pool has been generated in case of need for teaching for two courses: (1) Health + Tech Innovations course and (2) Conservation + Tech Innovations course. The number of positions may vary from semester to semester, depending upon the teaching needs of the School.



Candidates with a background in one or more of the following areas are encouraged to apply: Public Health, Conservation, Sustainability, Innovation, Design, Other health-technology, Human centered design, Student directed learning, Participatory design, Inclusive teaming and leadership, Experiential learning methods.



Teaching Responsibilities: We are seeking outstanding lecturers who can teach a design, project based course for the Fung Fellowship for Technology Innovations at the undergraduate level. The Fung Fellowship brings together students from diverse backgrounds and majors to develop technology solutions to address societal challenges facing our most marginalized populations.



General Duties: Curriculum development and teaching that involves an experiential approach to participatory learning that includes community engagement and innovative problem-solving. In addition to teaching responsibilities, general duties include: hold office hours, assign grades, advise students, support community and industry partnerships and other opportunities for students, prepare course materials (e.g., syllabus) and maintain the course website with support from the graduate student instructor (GSI).



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



Labor Contract:



Qualifications

Basic qualifications (required at time of application)

Bachelors degree or equivalent international degree required by date of application.



Additional qualifications (required at time of start)

Masters degree or equivalent international degree required by the start date of the job, or industry experience of 5 or more years.



Preferred qualifications

Experience teaching undergraduate-level innovation and design topics. An advanced degree, or equivalent degree, or 6 years work experience in the areas of Public Health, Conservation, Design, Innovation, or other health-technology related fields.



Application Requirements

Document requirements

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


  • Cover Letter - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.


  • Teaching Evaluations - Evidence of teaching/course evaluations may be requested of the finalists.

    (Optional)




Reference requirements
  • 3 required (contact information only)


Apply link:
JPF04968

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
Not Specified
Lecturer Pool - Sutardja Center for Entrepreneurship & Technology - College ofEngineering
✦ New
🏢 University of California-Berkeley
Salary not disclosed
Berkeley, CA 1 day ago
Position overview

Salary range:
The UC academic salary scales set the minimum pay at appointment. See the following table for the current salary scale for this position: . The current full-time salary range for this position is $75,301 - $199,722. TSP hourly rate: $150-$375. Starting salary will be commensurate with highest degree, past college-level teaching experience, relevant industry experience and equity within the department.

Percent time:
Lecturer positions may range from 17% to 100% time in a given fall or spring semester. Instructors teaching one course with three hours of lecture per week during the fall or spring semester will normally be appointed at 33% time; exact percentages depend on contact hours and other assigned duties. Lecturer positions may range from 4% to 22% in the summer.

TSP assignments are hourly based on contact hours and other assigned duties.

Anticipated start:
Academic-Year: July 1

Fall semester (only): August 1

Spring semester (only): January 1

Summer (only): May - August

Review timeline:
The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the department is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time. Applications for fall and summer semesters are usually reviewed in February/March, and for spring semester in August/September.

Position duration:
Lecturer positions may vary and can be for one semester or a full academic year. TSP positions may vary and can be for one day, a few days, one week, or a few weeks.

Application Window


Open date: July 10, 2025




Most recent review date: Sunday, Feb 15, 2026 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.




Final date: Friday, Jul 10, 2026 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 Pantas and Ting Sutardja Center for Entrepreneurship & Technology (SCET) at the University of California, Berkeley invites applications for a pool of qualified temporary instructors to teach experiential-based courses in SCET, housed within the College of Engineering, should an opening arise. The number of positions varies from semester to semester (Spring, Summer and Fall) depending on the needs of the department.



UC Berkeley's SCET is the premier institution for the study and practice of entrepreneurship and technology innovation. SCET's mission is to empower innovators to positively change the world and believe mindsets and behaviors matter, diversity adds value, and innovators should be responsible for what they create. Since 2005, SCET has created the foundation of Berkeley's entrepreneurship ecosystem and is known for developing the Berkeley Method, an internationally recognized approach to teaching technology entrepreneurship to undergraduate students, innovation to graduate students, and technology firm leadership to executives and professionals. SCET is where aspiring entrepreneurs and innovators take a deep dive into the world of entrepreneurship and technology innovation. SCET courses offer students the opportunity to learn from experts in their fields, as well as their classmates, and address real-world problems through hands-on group projects. Students have the chance to build networks, learn how to start and grow their own start up, and strengthen transferrable skills in areas such as leadership, teamwork, and communication. The mindsets and skills introduced in SCET classes prepare students to become innovative leaders in their industry, jobs or ventures regardless of the field.



SCET hires a number of qualified professionals and academics to hold temporary lecturer appointments to lend variety and subject matter expertise to our core topics. The topics in our Fall, Spring and Summer curriculum may include but are not limited to: Technology Entrepreneurship, the Berkeley Method of Entrepreneurship, Leadership, Product Management, and other advanced topics and challenge labs in entrepreneurship, innovation, and technology including, but not limited to environmental sustainability, plant based foods, smart cities, future of work, health technology, sports technology, and other emerging technologies and industries.



SCET hires for both lecturer and Teacher Special Program (TSP) positions. TSPs teach short courses on one or more of the topic areas listed. Most TSP courses are taught in a 'bootcamp' format in August and January. Lecturers and TSPs are responsible for the course syllabus, curriculum development and delivery, holding office hours, student assessment through relevant projects, presentations, problem sets, exams, and/or class attendance and participation, and assigning grades.



Unit:

Labor Contract:



Qualifications

Basic qualifications (required at time of application)

Bachelor's degree or equivalent international degree required at the time of application.



Additional qualifications (required at time of start)

Advanced degree or five years teaching experience and/or five years industry experience.



Preferred qualifications

Experience starting and growing new technology ventures, investing, and/or executive experience. Experience teaching undergraduate-level innovation topics.



Application Requirements

Document requirements

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


  • Cover Letter - Within your cover letter please address your experience and interest in teaching as well as your experience starting and growing new technology ventures, investing, and/or executive experience.




Reference requirements
  • 0-2 required (contact information only)


Apply link:
JPF04953

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
Not Specified
Sr. Engineering Manager, AI/ML Serving Platform
✦ New
🏢 Pinterest
Salary not disclosed
San Francisco, CA 1 day ago

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.

Sr. Engineering Manager, AI/ML Serving Platform


The AI/ML Serving Platform team provides foundational tools and infrastructure used by hundreds of AI/ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that AI/ML systems are efficient, healthy (production-grade quality) and fast (for modelers to iterate upon).


Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest. Systems include:



  • Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems. TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second.
  • Production GenAI & LLM model inference stack for emerging use cases.
  • Model routing, deployment, monitoring. Kubernetes-based provisioning.
  • Feature fetching, caching, and logging

What you'll do



  • Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity.
  • Set technical direction for the team based on company and org priorities
  • Coach and develop talent on the team.

What we're looking for:



  • Experience managing platform engineering teams with many cross-organizational customers
  • Experience leading the development of large-scale distributed serving systems
  • Experience with AI/ML inference technologies (e.g. PyTorch, TensorFlow) for online serving at Web scale
  • Bachelor's degree in Computer Science, a related field or equivalent experience.

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.

Relocation Statement:



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


#LI-REMOTE


#LI-AH2

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$208,592—$429,454 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.

Not Specified
Postdoc Employee - Transposons Research - Molecular and Cell Biology
✦ New
🏢 University of California-Berkeley
Salary not disclosed
Berkeley, CA 1 day ago
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
Not Specified
Staff Software Engineer
✦ New
Salary not disclosed
San Francisco, CA 1 day ago

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
Not Specified
Sr. Product Manager, Advertiser Experience
✦ New
🏢 Pinterest
Salary not disclosed
San Francisco, CA 1 day ago

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.

Not Specified
Lecturer - Information Management - School of Information
✦ New
🏢 University of California-Berkeley
Salary not disclosed
Berkeley, CA 1 day ago
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
Not Specified
Staff Software Engineer, Conversion Data Privacy
✦ New
🏢 Pinterest
Salary not disclosed
San Francisco, CA 1 day ago

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.

Not Specified
Sr. Security Software Engineer, Application Security
✦ New
🏢 Pinterest
Salary not disclosed
San Francisco, CA 1 day ago

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.

Not Specified
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