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Operations Research Engineer Jobs in Berkeley, CA

Factory is seeking innovative Research Engineers to design and integrate advanced AI and ML ... operational demands Qualifications: * 2+ years of hands-on experience in AI/ML engineering roles ...

... unit operations for our demo plant. This role is deeply technical and experimental ... Nuclear engineering research: molten-salt chemistries, materials compatibility, graphite/refractory ...

Research Engineer

San Francisco, CA · On-site

$200K - $350K/yr

We're building toward a future where enterprise operations are fully autonomous; with no tickets ... Join us. About the role We're hiring a Research Engineer to push Console's core agent loop from ...

Research and experiment with novel techniques, including reinforcement learning, retrieval ... engineering operations. * Shape Agentic AI's Future : Help build the next frontier in enterprise ...

Research Engineer

San Francisco, CA · On-site

$180K - $250K/yr

Our global network of expert specialists, scalable managed operations, precise talent matching, and ... As a Research Engineer, you'll take a research direction and run with it - finding the right papers ...

Our global network of expert specialists, scalable managed operations, precise talent matching, and ... As a Research Engineer, you'll take a research direction and run with it - finding the right papers ...

We are looking for Research Engineers to build AI systems that use agent interaction data to help ... legal, operations, and other high-stakes workflows. You will own projects end-to-end, with ...

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Operations Research Engineer information

See Berkeley, CA salary details

$44.1K

$104.1K

$165.3K

How much do operations research engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for operations research engineer in Berkeley, CA is $104,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,100.00 and $115,100.00 per year, depending on experience, location, and employer.

What does an Operations Research Engineer do?

An Operations Research Engineer applies mathematical modeling, statistical analysis, and optimization techniques to solve complex business and engineering problems. They use data-driven decision-making to improve efficiency, reduce costs, and enhance system performance in industries such as logistics, manufacturing, finance, and transportation. By leveraging algorithms, simulations, and predictive analytics, they help organizations make informed decisions. Their work often involves programming, data analysis, and collaboration with cross-functional teams to implement practical solutions.

What are the key skills and qualifications needed to thrive in the Operations Research Engineer position, and why are they important?

To excel as an Operations Research Engineer, you need a solid grounding in mathematics, statistics, optimization, and analytical problem-solving, typically supported by a relevant engineering or quantitative degree. Proficiency with tools such as MATLAB, Python, R, CPLEX, or simulation software, as well as familiarity with data analysis platforms, is commonly required. Strong communication, teamwork, and adaptability are vital soft skills for presenting findings and collaborating across multidisciplinary teams. Mastery of these abilities is crucial to developing effective solutions that improve operational efficiency in complex business environments.

What does a typical day look like for an Operations Research Engineer?

A typical day for an Operations Research Engineer involves identifying operational challenges, gathering and analyzing data, developing mathematical models, and simulating scenarios to propose improvements. You will often collaborate closely with cross-functional teams—including data scientists, engineers, and business managers—to understand requirements and implement optimal solutions. Expect to spend time both independently conducting research and attending meetings to present your findings and receive feedback. The role provides a good balance of technical work, problem-solving, and teamwork, making each day dynamic and intellectually engaging.

What job categories do people searching Operations Research Engineer jobs in Berkeley, CA look for? The top searched job categories for Operations Research Engineer jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Operations Research Engineer jobs? Cities near Berkeley, CA with the most Operations Research Engineer job openings:
Infographic showing various Operations Research Engineer job openings in Berkeley, CA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $104,112 per year, or $50.1 per hour.
Research Engineer

Research Engineer

Factory

San Francisco, CA • On-site

Full-time

Posted 25 days ago


Job description

Factory is seeking innovative Research Engineers to design and integrate advanced AI and ML capabilities that revolutionize productivity and accelerate innovation within software organizations.
What you will do and achieve:
  • Design, develop, and deploy AI-driven agentic systems that enhance Factory's core AI capabilities, focusing on retrieval systems, code generation evaluation, agentic user experience development, and agent backend architecture.
  • Collaborate with product and engineering teams to incorporate emerging AI research findings into practical, customer-centric solutions.
  • Engage in iterative development processes, rapidly prototyping and refining AI functionalities based on real-world feedback to meet the evolving needs of developers and enterprises
  • Take the initiative in identifying and addressing product stability and scalability challenges, ensuring our platform reliably support large-scale operational demands

Qualifications:
  • 2+ years of hands-on experience in AI/ML engineering roles post-acquisition of a Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related technical field.
  • Demonstrated proficiency with LLMs and a track record of applying AI/ML techniques to solve complex, unstructured problems, ideally within the domain of software engineering or related areas.
  • Self-motivated and autonomous, with a proven ability to navigate ambiguous research projects from conception to impactful deployment.
  • Strong communication skills that enable you to articulate technical concepts and strategies clearly at all levels, coupled with a strategic mindset oriented towards innovation.
  • Experience with data-intensive applications and familiarity with the software development lifecycle are highly desirable, though not mandatory.
  • The team goes into the office 5 days a week in San Francisco (walking distance to Caltrain).