Engineering Jobs in Alameda, CA

Open date: June 14, 2025

Most recent review date: Tuesday, Jul 29, 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: Tuesday, Aug 25, 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.

The College of Chemistry at the University of California, Berkeley is generating an applicant pool of qualified lecturers to teach graduate courses on the Berkeley campus for the Master of Molecular Science and Software Engineering (MSSE) Program should an opening arise. We are seeking dynamic lecturers with a commitment to graduate education in computational science, data science, and software engineering to lead multiple courses each year. Disciplines where we are seeking instructors include:

• 
  
• Computational Chemistry
  
• Computational Quantum Chemistry
  
• Scientific Computing
  
• Machine Learning/Deep Learning
  
• Structural Bioinformatics
  
• High Performance Computing
  
• Complex mathematical modeling and simulations
  
• Leadership, management, and entrepreneurship
  

The MSSE Program is a unique program that is designed to formally train scientists, engineers, and computer scientists in computational and data science, and to provide them with the tools, software engineering practices, leadership, management, and entrepreneurial skills needed to create or lead science- or engineering-based enterprises. While the degree focuses on the molecular sciences, its content is suitable for any student pursuing software engineering or data science roles in other science-based industries, or in other areas that require advanced machine learning, complex mathematical modeling and simulations, or high-performance computing.

General Duties:

Classroom teaching and preparation, managing and mentoring graders and/or graduate student instructors (teaching assistants), holding office hours, assigning grades, advising students, preparing course materials (e.g., syllabus), and using Cal's electronic resources for course management.

The MSSE Program seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

Program:

Contract for the Lecturers Unit (IX) between the University of California and the American Federation of Teachers:

Advanced degree or enrolled in an advanced degree program.

Advanced degree.

• 
  
• A Ph.D., or equivalent international degree, in an area related to computational science, data science, and/or software engineering
  
• Prior teaching and/or work experience in computational science, data science, and/or software engineering
  
• Leadership, management, and entrepreneurial skills in STEM fields
  
• Existing authorization to work in the U.S.
  
• Proficient in C++ and Python programming languages
  

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

  
  

• Cover Letter (Optional)

  
  

• Statement of Teaching

  
  

• 3-5 required (contact information only)

Help contact:

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
  

Open date: October 30, 2025

Most recent review date: Monday, Mar 9, 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, Oct 30, 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.

UC Berkeley's Academic Talent Development Program (ATDP) offers challenging summer classes for high achieving and motivated young K- 12 scholars. Since 1982, the program has invited excelling students from the Bay Area and around the world into a unique academic community. We look for strong students from all backgrounds who are hardworking, enjoy learning, and are prepared for an intellectually stimulating and demanding summer class. Courses are taught by outstanding public school, private school, and university instructors as well as industry professionals who have deep knowledge of their subject areas and are committed to helping students think and understand deeply.

ATDP's mission is to enable all highly motivated and prepared students to pursue their academic passions through rigorous summer coursework in a community of like-minded peers.

ATDP's Learner Outcomes state that ATDP students will be able to:

• 
  
• successfully complete rigorous and challenging coursework in a chosen discipline,
  
• pursue their academic passions and deep interests, and
  
• participate in an academic community of similarly motivated peers.
  

Teacher Special Programs (TSP): The TSP will teach within ATDP's summer Elementary Division (ED, grades K-6), Secondary Division (SD, grades 7-12), or Global Programs (GP grades 7-12). This involves designing, and delivering age, grade, and achievement level student-centered curricula for a particular content area within the format and time parameters of a specific course, and whose teaching philosophy is aligned with ATDP's mission and Learner Outcomes.

ATDP unites teachers who love to teach with students who want to learn. We are in constant search of qualified, temporary, part-time, high-energy, passionate, and creative instructors, co-instructors, and instructional associates (IAs) for our summer courses. While each summer's faculty cohort is generally assembled by late winter, specific openings may remain unfilled, and we will keep promising candidates in mind for future summers.

Individuals who qualify to teach in the following subjects are encouraged to apply each year: Mathematics (ED & SD), Writing (ED & SD), Elementary Science (ED), Chemistry (SD), Physics (SD), Electronics (SD), Introduction to Engineering (SD), Intro/Advanced Biotechnology (SD & GP), Artificial Intelligence Applications (SD & GP), Advanced Robotic Engineering (SD), Earth/Planetary/ Physical Sciences (ED & SD), Programming in Scratch/Snap/Java/Python (ED & SD & GP), Algorithms & Data Structures (SD), Architectural Design (SD & GP), Art Practice (ED & SD), Business & Finance (SD & GP), Data Science or AP Statistics (SD), Entrepreneurship (SD & GP), Practice of Law (SD), Public Speaking (SD & GP), Social Psychology (SD & GP), AP Psychology (SD), Cognitive Neuroscience (SD).

Responsibility for teaching courses in ATDP's Elementary Division (grades K-6), Secondary Division (grades 7-12), and Global Programs (grades 7-12). Final course format (online or on- site) and schedule will depend on public health orders and/or University policies as well as enrollment minimums.

In addition to teaching responsibilities, duties include: holding office hours, assigning grades, writing student evaluations, advising students, attending faculty meetings, and preparing course materials. Teachers are also required to attend a Faculty-wide pre-service meeting in May; SD instructors must attend the Student/Parent orientation in June. ED instructors must attend the Student/Parent Orientation in July. Pending public health orders and/or University policies, such events may occur virtually.

School:

Program:

A Bachelor's Degree or equivalent international degree or enrollment in a Bachelor's degree or equivalent international degree program.

A Bachelor's degree or equivalent international degree.

Minimum three years demonstrated experience in related content area. Demonstrated experience teaching diverse K-12 students in formal or informal settings. U.S. Teaching Credential or M.A. or equivalent international credential/degree or higher in related content area. Teaching experience in the subject matter field with diverse populations preferred.

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

  
  

• Cover Letter

  
  

• Teaching Statement - 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.

  
  

• 3 required (contact information only)

Reference names are collected but may not be contacted depending on the size of the recruitment pool and needs of the review committee. If references are requested, they will be requested for all applicants who are still under consideration at that time.

Help contact:

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
  

Open date: June 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: Monday, Feb 1, 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.

The Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley invites applications for a pool of qualified temporary instructors to teach Electrical Engineering or Computer Science courses should an opening arise. These are not tenure-track positions - selected candidates will hold the title of Lecturer. 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 department. Due to budget restrictions, no funding is available for visa or relocation expenses.

In addition to lecturing responsibilities, general duties for these positions include holding office hours, assigning grades, advising students, preparing course materials (e.g. syllabus), and maintaining a course website.

The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy in higher education through their teaching. 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.

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:

Department:

Division:

School:

The minimum qualification required to be considered an applicant for the position is a Bachelor's degree (or equivalent international degree). Must be met by the time of application.

The following additional qualifications are required by the start date of the job. Advanced degree or four years teaching and/or industry experience.

Experience in teaching courses in Electrical Engineering or Computer Science, particularly courses with 200+ students. Experience managing large course staff.

Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

• Cover Letter (Optional)

  
  

• Curriculum Vitae - Your current and updated C.V.

  
  

• Statement of Teaching - Please discuss prior teaching experience, qualifications (including teaching evaluations, if available), 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.

  
  
  

  The teaching statement must include information on the course(s) the applicant is qualified to teach (after reviewing our list of courses: academics/courses).

  
  
  

  Courses of particular interest in the Computer Science division include CS 10, CS 61A, CS 61B, CS 70, CS 88, CS C8, CS C100, CS 160, CS 169, CS 170, CS W186, CS 188, CS 189, CS 194-100*, CS 195, CS 370, and CS 375. *Note: Candidates qualified to teach CS 194-100 possess teaching experience and a background covering the intersection of social justice and technology.

  
  
  

  Courses of particular interest in the Electrical Engineering division include EE 16A , EE 16B, EE 192, and EE 247B.

  
  

• 3 required (contact information only)

References will only be contacted at the finalist stage. We will seek candidate permission before contacting references.

Help contact:

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
  

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 helps Pinners discover and do what they love. Homefeed is literally the first surface Pinners see when they open the app and so it forms the front-and-center of the Pinterest experience for 400M+ pinners every month. The Homefeed Relevance team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Tech Lead Architect who can drive cross-team engineering efforts for shipping ML-driven product experiences to our pinners. You'll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our pinners and business metrics.

What you'll do:

• 
  
• Improve relevance and the user experience on Homefeed
  
• Work on state-of-the-art large-scale applied machine learning projects
  
• Improve the efficiency and reliability of large-scale data processing and ML inference pipeline
  
• Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost
  

What we're looking for:

• 
  
• Languages: Python, Java
  
• Machine Learning: PyTorch, Tensorflow
  
• Big data processing: Spark, Hive, MapReduce
  
• 7+ years experience with Recommender system or User modeling, implementing production ML systems at scale
  
• 7+ years experience with large scale distributed backend service
  
• Experience in working in Deep learning and Generative AI models
  
• Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product
  
• Bachelors in 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-DM57

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.

Our Commitment to Inclusion:

Open date: March 5, 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, Apr 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.

The Chang Lab, led by PI Serina Chang, is part of the Berkeley EECS Department, the UCSF UC Berkeley Joint Program in Computational Precision Health, the Berkeley AI Research (BAIR) Lab, and the Center for Human-Compatible AI (CHAI).

We are seeking a postdoc to work on projects at the intersection of AI and human behavior, including modeling human behavior with AI, building AI tools to support societal decision-making, and studying the impacts of AI on society. Potential projects include:

1. 
   
2. Developing AI models of individuals that can accurately simulate complex behaviors across modalities, supported by rich, individual-level data including mobility trajectories, surveys, in-depth interviews, and health behaviors and outcomes.
   
3. Scaling simulations to entire societies with millions of agents, developing robust validation of societal simulations, and applying societal simulations to inform decisions in high-stakes domains (e.g., public health, emergency response).
   
4. Studying the impacts of generative AI on human health and well-being, from individual-level human-AI interactions (e.g., mental health risks, health decision-making) to community-level dynamics (e.g., changing support networks, engagement with health systems).
   

The selected candidate will assist with leading research projects, work closely with PI Serina Chang, mentor junior students in the lab, and help with the management of the lab.

Union: resources/employment-policies-contracts/bargaining-units/postdoctoral-scholars/contract/

PhD degree or equivalent international degree, or enrolled in a PhD or equivalent international degree granting program

PhD degree or equivalent international degree

• 
  
• PhD in Computer Science or closely related field
  
• Demonstrated record of publications in relevant computer science venues and/or general science journals
  
• Experience with training and evaluating generative AI models, working with large-scale messy datasets (e.g., mobility data, health data), and interdisciplinary research (e.g., computational social science, AI for health)
  
• 2-year postdoc is preferred, but we will consider applications for 1-year postdocs
  

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

  
  

• Representative paper - Please include one research paper where you played a substantial role and that are representative of your work and interests.

  
  

• Second Representative paper - Please include one research paper where you played a substantial role and that is representative of your work and interests.

  
  

• Statement of Research - (max 4 pages). Please discuss your past research and accomplishments (e.g., publications, awards, presentations, evidence of real-world impact). Please also describe your plans for future research, especially how they would align with this position.

  
  

• Mentorship statement - (max 1 page). Please describe your past experience with mentoring junior students, including PhD students, master's, or undergraduate, and your philosophy towards mentorship. This could include mentoring students on research projects and/or teaching experience.

  
  

• 3 required (contact information only)

Help contact:

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
  

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 inquisitive, well-rounded iOS engineers to join our Product engineering teams. Working closely with product managers, designers, and backend engineers, you'll play an important role in enabling the newest technologies and experiences. You will build robust frameworks & features. You will empower both developers and Pinners alike. You'll have the opportunity to find creative solutions to thought-provoking problems. Even better, because we covet the kind of courageous thinking that's required in order for big bets and smart risks to pay off, you'll be invited to create and drive new initiatives, seeing them from inception through to technical design, implementation, and release.

What you'll do:

• 
  
• Build out Pinner-facing frontend features in iOS to power the future of inspiration on Pinterest
  
• Contribute to and lead each step of the product development process, from ideation to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that can scale to support millions of users
  
• Partner with design, product, and backend teams to build end to end functionality
  
• Put on your Pinner hat to suggest new product ideas and features
  
• Employ automated testing to build features with a high degree of technical quality, taking responsibility for the components and features you develop
  
• Grow as an engineer by working with world-class peers on varied and high impact project
  

What we're looking for:

• 
  
• Deep understanding of iOS development and best practices in Objective C and/or Swift, e.g. Xcode, app states, memory management, etc
  
• 5+ years of industry iOS application development experience, building consumer or business facing products
  
• Experience in following best practices in writing reliable and maintainable code that may be used by many other engineers
  
• Ability to keep up-to-date with new technologies to understand what should be incorporated
  
• Strong collaboration and communication skills
  
• Bachelor's degree in a relevant field such as Computer Science, or equivalent experience.
  

This position is not eligible for relocation assistance.

#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.

Our Commitment to Inclusion:

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.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

tvScientific is looking for a Senior MLOps Engineer! You'll be working with a distributed engineering team on our Connected TV ad-buying platform, as we scale our Machine Learning practice. We've cracked the code on optimizing TV ad campaigns. We're scaling massively and we need your help to make that scale sustainable.

An Idealab company, tvScientific was co-founded by executives with deep roots in programmatic advertising and digital media. tvScientific helps our clients buy ads across the CTV universe, from Hulu to PlutoTV to the ad-supported tier of Disney+ and (HBO) Max. Since our acquisition by Pinterest, we're expanding our work on CTV to lift search & social advertising performance.

What you'll do:

• 
  
• Scale the decisionmaking process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments
  
• Improve the developer experience for the data science team
  
• Upgrade our observability tooling
  
• Serve as a technical lead and mentor to the team
  
• Make every deployment smooth as our infrastructure evolves.
  

What we're looking for:

• 
  
• Deep understanding of Linux
  
• Excellent writing skills
  
• A systems-oriented mindset
  
• Experience in high-performance software (RTB, HFT, etc.)
  
• Software engineering experience + reliability (e.g. CI/CD) expertise
  
• Strong observability instincts
  
• Nice-To-Haves:
  
  • 
    
  • Reverse-engineering experience
    
  • Terraform, EKS, or MLOps experience
    
  • Python, Scala, or Zig experience
    
  • NixOS experience
    
  • Adtech or CTV experience
    
  • Experience deploying a distributed system across multiple clouds
    
  • Experience in hard real-time low-latency (

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.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a Senior Backend Engineer with expertise in Python, you will collaborate with a small team of remote engineers to enhance our flagship customer-facing product. You should possess a deep understanding of fundamental engineering principles and have practical experience in web development, automated testing, version control, continuous deployment, infrastructure management, and agile planning.

This role is ideal for someone who's ready to go beyond shipping features, who acts as a force multiplier for the team by helping to shape architecture, elevate technical quality, and support the Engineering Manager in mentorship and planning. You won't be responsible for direct people management, but you'll be a go-to partner in helping the team grow, unblock, and thrive.

What you'll do:

• 
  
• Own and deliver key product features from design through deployment, working closely with design, product, and other stakeholders.
  
• Mentor and support engineers, offering guidance and helping to reinforce high engineering standards across the team.
  
• Collaborate closely with design, product, and cross-functional stakeholders to deliver a user-friendly and engaging product for our customers.
  
• Ship high-performing and resilient APIs that adhere to industry standards and are delightful to use.
  
• Step into a technical lead role on projects as needed, coordinating across functions and guiding execution without formal authority.
  
• Maintain a high standard of quality across our codebase by advocating for cleanliness, readability, speed, testability, and documentation.
  
• Champion software quality, emphasizing readability, reliability, testability, and documentation.
  

What we're looking for:

• 
  
• Experience working with Python backends (ideally Django).
  
• Exceptional remote communication skills. Especially in writing.
  
• The ability to work autonomously in a startup environment; you thrive under pressure and are comfortable adapting to rapidly evolving plans.
  
• Proven production experience working with a relational database (we use MySQL). Bonus points for experience working with other types of datastores or backing services.
  
• A rigorous approach to software quality. You like to write tests.
  
• A knack for learning new technologies, strong problem-solving skills, and an openness to creative solutions.
  
• A genuine passion for crafting reliable web applications. You get it right the first time.
  
• Computer Science degree or equivalent.
  
• Nice-to-Haves:
  
  • 
    
  • Adtech Experience.
    
  • Specific Domain Experience in CTV.
    
  • Familiarity with AWS services, experience working in a microservice architecture or with containerization technologies.
    
  • Previous involvement in a production environment with a customer-facing reporting and analytics system.
    
  • Experience working with other types of datastores or backing services, like Redis.
    
  
  
  

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 ourPinFlexpage to learn more about our working model.
  

#LI-SM4

#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.

Our Commitment to Inclusion:

Open date: March 10, 2026

Next review date: Tuesday, Mar 24, 2026 at 11:59pm (Pacific Time)

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

Final date: Thursday, Apr 9, 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.

Berkeley Summer Sessions & Study Abroad is a vibrant and dynamic organization that collaborates across faculty, academic units, international partners and campus service providers to enable more than 15,000 current and prospective Berkeley students, visiting students, and high school students to participate in more than 600 summer courses, study abroad experiences, global internships, and other learning opportunities. We are committed to offering quality, innovative learning experiences through open enrollment to a diverse audience of world-wide learners, while supporting the campus missions and commitments to its stakeholders.

Berkeley Summer Sessions & Study Abroad is a part of the division under the leadership of the Dean of Extended Education that also includes University Extension and Osher Lifelong Learning Institute.

Summer Sessions, in partnership with UC Berkeley's Electrical Engineering and Computer Science department (EECS), invites applications for a pool of qualified, dynamic instructors with a commitment to Pre-College education in Computer Science, Programming, and Data Science to teach high school students (grades 10-12) in our Berkeley Summer Computer Science Academy. This intensive, non-credit program is offered in-person over 2 weeks during weekdays (June 22, 2026 - July 3, 2026) on the UC Berkeley campus with some online instructional components, such as an Instructor Orientation and a student pre-arrival Welcome Webinar.

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

We are seeking qualified applicants who possess current subject matter expertise and teaching proficiency in the SNAP! programming language/coding software and in other introductory coding, computer science, data science, and artificial intelligence concepts.

The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Specific duties and expectations will vary depending on the method of instruction including: Classroom (In-Person).

• 
  
• For synchronous instruction (classroom), duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; preparing and submitting required texts and course materials; reviewing and updating Canvas course site; and delivering lectures, presentations, and learning activities for all required hours of instruction.
  
• For all instruction (regardless of course format) duties include but are not limited to: completing required trainings as mandated by the UC Presidential policies; responding to student questions and learning needs in a timely manner; reviewing and providing feedback on student work; utilizing University-approved course support platforms including the Canvas Learning Management System, Zoom, Google Workspace, etc.; reviewing and following University and departmental policies, logistics, and other guidelines; and responding to other requests from the Program Director or Department Director in a timely manner.
  

Berkeley Summer Computer Science Academy: summer-computer-science-academy

UC Berkeley's SNAP! Programming Language:

• 
  
• Bachelor's degree or equivalent international degree (or enrollment in a bachelor's degree or equivalent international degree program) required.
  

• 
  
• Bachelor's Degree or equivalent international degree required by the start date of the position.
  
• Minimum of one year of experience in related content area.
  
• Availability to teach in-person on the UC Berkeley campus weekdays between June 22, 2026 and July 3, 2026.
  

• 
  
• Advanced degree (or enrollment in an advanced degree) in course subjects.
  
• Subject matter expertise in SNAP! programming language/coding software and in other introductory coding, computer science, data science, and artificial intelligence concepts.
  
• 1 or more years of teaching experience in the course subject at a United States K-12, college, or university institution.
  
• Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes.
  
• Ability to convey conceptual and complex ideas and information.
  
• Effective verbal/written communication and presentation skills (English).
  
• Effective organizational skills with attention to detail.
  
• Ability to collaborate with colleagues and work within a team environment.
  
• Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
  
• Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Camtasia/Panopto); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc).
  
• Familiarity with Title IX, CANRA, CLERY, Family Educational Rights and Privacy Act (FERPA) and related federal and state laws, health & safety regulations, policies and procedures, and risk management guidelines and best practices related to working with minors or demonstrated ability to learn such laws.
  

• Curriculum Vitae/Resume - Your most recently updated C.V. or Resume.

  
  

• Cover Letter - Please discuss prior teaching experience, teaching approach, and other/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.
  
  (Optional)

  
  

Help contact:

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
  

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 passionate and strategic Senior Product Manager, Growth - Performance Marketing to lead one of our most important acquisition channels on the Growth team. Each month, the Growth team helps over 600M people around the world find their inspiration on Pinterest. You'll fully own the vision, strategy and execution for Pinterest's paid growth channels, driving efficient and scalable user acquisition.

Reporting to the Group Product Manager (Growth Acquisition), you'll lead high-impact initiatives from ideation through delivery. You'll partner closely with Engineering, Data Science and Marketing to build and ship a roadmap of bold changes in service of creating a best-in-class user experience for current and future Pinners. You'll tackle challenging, complex problems at scale and your work will help bring the inspiration and joy of Pinterest to more people around the world, more efficiently than ever before.

What you'll do:

• 
  
• Lead the product vision, strategy, and execution for performance marketing, owning outcomes for scalable, efficient growth across paid channels.
  
• Drive clarity, alignment, and prioritization across a broad crossfunctional team in an ambiguous, complex product area with substantial impact on topline growth. Influence senior stakeholders and contribute to long-term strategy for acquisition.
  
• Partner closely with Marketing, Engineering, and Data Science to build and evolve the core systems, experimentation, measurement infrastructure, and optimization tools that improve how we plan, execute, and scale paid marketing.
  
• Leverage strong analytical skills to dig into data, identify the highestimpact opportunities in the paid marketing lifecycle, and help the organization make better, faster, and more confident investment decisions.
  

What we're looking for:

• 
  
• Demonstrated success in product management at fast-growing companies.
  
• Strong technical background (or prior work experience as a software engineer/data scientist) that lets you dive deep into data and complex technical problems alongside your engineering team.
  
• Working knowledge of performance marketing mechanics (e.g., attribution, incrementality testing, bidding and budgeting, targeting, and funnel measurement).
  
• Strong analytical skills to define product strategy and drive decision making.
  
• Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication.
  
• Prior experience with machine learning, recommendation systems, or generative AI a plus.
  
• 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.
  

• 
  
• 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.

Our Commitment to Inclusion: