San Francisco, California, United States · Hybrid
$295k–$555k/yr
About the Team The Personalization-Memory team, within OpenAI's broader Personal AGI organization, is focused on developing agents that can learn from prior interactions in order to become more helpful and efficient over…
Skills: Reinforcement learning, Frontier model post-training, Machine learning, Data evaluation, Dataset creation
Monterey, California, United States · On-site
$115k–$125k/yr
Network Engineer V Target Salary: $115K to $125K LOCATION: DLIFLC, 1759 Lewis Road, Monterey, CA 93944 Position Overview: The person in this position will be the onsite Extreme Networks engineer managing the Extreme Netw…
Skills: Extreme Networks, Network Engineering, Troubleshooting, Project Management, Routing
San Francisco, California, United States · Hybrid
Employer: Zyphra Technologies Inc. Position: Software Developer (Member of Technical Staff) Duties: Serve as a core contributor to agentic systems and interaction projects. Build next-generation desktop and browser-based…
Skills: Python, C++, Large Language Models, Distributed Systems, SQL
Santa Clara, California, United States · On-site
$147k–$203k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: CAD software, Thermodynamics, Sheet metal design, Material selection, Manufacturing methods
California, United States · Remote Solely
$164k–$247k/yr
Compensation: Pay Range: $164,300.00 -$246,700.00 Location: Remote - U.S. We are seeking a Staff Software Engineer to help lead the design and development of the Java/Spring and React platform behind our precision genomi…
Skills: Java, Spring, React, Software Engineering, Cloud Computing
California, United States · Remote Solely
$164k–$247k/yr
Compensation: Pay Range: $164,300.00 -$246,700.00 Location: Remote - U.S. We are seeking a Staff Software Engineer to help lead the design and development of the Java/Spring and React platform behind our precision genomi…
Skills: Java, Spring, React, Software Engineering, Cloud Computing
Los Angeles, California, United States · On-site
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 25% of the TimeDescription At Northrop Grumman, our employees have incredible opport…
Skills: Program management, Missile integration, Systems engineering, Earned Value Management System, Risk management
Palmdale, California, United States · On-site
$23/hr–$27/hr
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the TimeDescription At Northrop Grumman, our employees have incredible opportunities …
Skills: Blueprint reading, Precision drilling, Countersinking, Part-fitting, Riveting
Santa Clara, California, United States · On-site
$147k–$203k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Materials Engineering, Process Development, Statistical Techniques, Design Of Experiments, Troubleshooting
San Francisco, California, United States · Hybrid
$173k–$286k/yr
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Product Job Details About Salesforce Salesforce is the #1 A…
Skills: Product Management, Infrastructure-as-a-Service, Platform-as-a-Service, Kubernetes, Containers
Pleasanton, California, United States · On-site
$49/hr–$74/hr
JOB DESCRIPTION Field Service/Support Engineer -- Provides highly visible customer support through the performance of on-site installation, as well as overseeing any necessary diagnoses, troubleshooting, service, and rep…
Skills: On-site Installation, Troubleshooting, Equipment Repair, Customer Support, System Diagnosis
Petaluma, California, United States · On-site
$79k–$121k/yr
Worker Type Regular Job Description Summary The Systems Engineer II works with our Design team to develop a variety of innovative Unmanned Systems for defense and commercial applications. This position will interact with…
Skills: Systems Engineering, C/C++, Matlab, Model Based Engineering, Simulink
Santa Clara, California, United States · On-site
$138k–$190k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: People Leadership, NPI Supply Chain, Commodity Management, Program Management, Portfolio Management
Pleasanton, California, United States · On-site
$86k–$108k/yr
Build a Career That Builds Your Future — with PulteGroup! Welcome to PulteGroup where we believe in building more than just homes—we believe in building inspired employees, meaningful careers, and a legacy of excellence.…
Skills: Project Planning, Land Development, Contract Management, Trade Bidding, Site Plan Analysis
Irvine, California, United States · On-site
$108k–$153k/yr
Many structural heart patients suffer from heart failure with limited options. Our Implantable Heart Failure Management (IHFM) team, part of the AI, Product and Platforms organization, is at the forefront of addressing t…
Skills: Software Testing, Test Automation, CI/CD Pipelines, Risk-based Testing, End-to-end Testing
Santa Barbara, California, United States · On-site
$85k–$105k/yr
Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working …
Skills: Commodity Sourcing, Price Negotiation, RFQ Execution, Supply Strategy, Cross Functional Leadership
Fremont, California, United States · On-site
$135k–$194k/yr
Senior Staff Engineer — Operational Excellence Location: Fremont, CA (on-site) Role Level: Senior Staff Engineer About the Role Bloom is seeking a Senior Staff Engineer in Operational Excellence to drive system-level per…
Skills: Capacity Planning, Performance Optimization, Industrial Engineering, Operational Excellence, Systems Thinking
San Jose, California, United States · Remote OK
At Cornelis we’re building the future of AI and HPC networking with an AI-first approach to silicon and software development. We’re seeking engineers who are energized by working on cutting-edge ASIC design and distribut…
Skills: Verilog, System Verilog, Digital Design, Timing Closure, Physical Design Methodologies
San Jose, California, United States · On-site
$144k–$170k/yr
Company Overview Embark on an enriching journey with PROCEPT BioRobotics, where our vision, mission, and values guide everything we do as a company. At PROCEPT, we put the patient first in everything we do and are commit…
Skills: Quality Compliance, Post-Market Surveillance, CAPA, Root Cause Analysis, QMS
Lancaster, California, United States · On-site
Job Description SUMMARY Produces heat pipe assemblies for internal and external customers using semi-automated equipment following proper procedures and techniques administered from engineering department using work inst…
Skills: Heat Pipe Assembly, Semi-automated Equipment, Brazing, CNC Milling, Welding
San Francisco, California, United States • Hybrid
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
The Research Engineer will lead a research agenda focused on improving memory and personalization capabilities within frontier models. They will build robust evaluation frameworks and collaborate with product teams to integrate these advancements into ChatGPT and other agentic products.
Candidates must have a strong background in frontier model post-training and machine learning applications. Proficiency in navigating large ML codebases and a passion for product-driven research are essential for success in this role.
The Personalization-Memory team, within OpenAI's broader Personal AGI organization, is focused on developing agents that can learn from prior interactions in order to become more helpful and efficient over time. We build general-purpose memory and personalization capabilities that transfer across ChatGPT and other agentic products, and we collaborate with applied engineering on the product surfaces that allow users to interact with memory.
As a Research Engineer / Research Scientist on the Personalization-Memory team, you will research and develop improvements to memory usage and personalization in OpenAI's frontier models. Our team works on reinforcement learning, dataset creation, evaluations, and other post-training methods. We partner closely with research and product teams across the company to realize the vision of a truly personalized ChatGPT.
We're looking for individuals who have a background in frontier model post-training, are able to iterate quickly, and who are passionate about product-driven research.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
Own and pursue a research agenda for improving memory use and personalization in frontier models.
Build robust evaluations for tracking modeling improvements.
Design, implement, test, and debug code across our research stack.
Collaborate closely with the research and product teams to influence the shape of technical solutions in the product.
Are passionate about personalization and building personalized assistants.
Have experience working with user signals and human data to turn feedback into reliable signals for training and evaluation.
Have a deep understanding of frontier model post-training and machine learning applications.
Value principled approaches and research craftsmanship.
Are comfortable diving into a large ML codebase to debug.
Thrive in a fast-paced, dynamic, and technically complex environment.
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit. To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Offices: San Francisco, CA 94110, US
Based on 27469 listings with disclosed salaries, most engineering jobs in California pay between $100k–$242k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 38,952 open engineering positions in California listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Northrop Grumman, Northrop Grumman Mission Systems, Inc., Apple, Google, Applied Materials, among others. Browse the listings above to see every active employer.
Yes — 9288 of the 38952 open engineering positions offer remote or hybrid work (1831 remote, 7457 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
