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Entry Level Operations Research Engineer Jobs (NOW HIRING)

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 ...

Research Engineer

San Jose, CA · Hybrid

$60K - $115K/yr

Join us. The Research Engineer plays a critical role in advancing distributed intelligence ... This position supports the design, development, and operation of research laboratory systems used ...

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Entry Level Operations Research Engineer information

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$36K

$85K

$135K

How much do entry level operations research engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for entry level operations research engineer in the United States is $85,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $94,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Operations Research Engineer vs Data Analyst?

AspectEntry Level Operations Research EngineerData Analyst
Required CredentialsBachelor's in Operations Research, Industrial Engineering, or related fieldBachelor's in Statistics, Data Science, or related field
Work EnvironmentTechnical teams, research labs, consulting firmsBusiness departments, analytics teams, consulting firms
Employer & Industry UsageManufacturing, logistics, defense, consultingFinance, marketing, healthcare, retail
Common Search & ComparisonFocuses on optimization, modeling, algorithmsFocuses on data interpretation, reporting, visualization

Entry Level Operations Research Engineers and Data Analysts often share foundational skills like analytical thinking and proficiency in programming. However, operations research engineers primarily focus on developing models to optimize complex systems, while data analysts interpret data to support business decisions. Both roles are essential in data-driven industries but serve different functions within organizations.

What cities are hiring for Entry Level Operations Research Engineer jobs? Cities with the most Entry Level Operations Research Engineer job openings:
What are the most commonly searched types of Operations Research Engineer jobs? The most popular types of Operations Research Engineer jobs are:
Research Engineer

Research Engineer

Factory

San Francisco, CA • On-site

Full-time

Posted 27 days ago


Key responsibilities

  • Design, develop, and deploy AI-driven agentic systems that enhance 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 evolving needs.


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).