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Operations Research Engineer Jobs (NOW HIRING)

Research Engineer (VLM / Multimodal AI) 📍 Mountain View, CA I am seeking a Research Engineer to ... drone operations, and is founded by former Google and Meta robotics engineers with multiple ...

Operations Research Analyst An Operations Research Analyst wanted by Formosa Plastics Corporation ... Collaborate with operations and engineering teams to integrate mechanical and process systems into ...

Operations Research Analyst,

Elizabeth City, NC · On-site

$87K - $103K/yr

The Aviation Logistics Center's mission includes Depot Level Maintenance, Engineering, Supply ... BA/BS in Operations Research, Industrial Engineering, Business, Engineering, Information Systems ...

Research Engineer

Westwood, MA · On-site

$100K - $135K/yr

Research Engineer Introduction: Join our dynamic team as a Research Engineer, where you will ... This role will help address key operational bottlenecks, including data systems and accessibility.

ITA is seeking an Operations Research Analyst to join our team. Responsibilities Join a growing ... Develop mathematical optimization models using linear programming and integer linear programming ...

The Aviation Logistics Center's mission includes Depot Level Maintenance, Engineering, Supply ... BA/BS in Operations Research, Industrial Engineering, Business, Engineering, Information Systems ...

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 ...

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Operations Research Engineer information

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How much do operations research engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for 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 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.

More about Operations Research Engineer jobs
What cities are hiring for Operations Research Engineer jobs? Cities with the most 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:
What states have the most Operations Research Engineer jobs? States with the most job openings for Operations Research Engineer jobs include:
Infographic showing various Operations Research Engineer job openings in the United States 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 $85,029 per year, or $40.9 per hour.

Research Engineer

Acceler8 Talent

Mountain View, CA • On-site

Other

Posted 26 days ago


Job description

Research Engineer (VLM / Multimodal AI)


📍 Mountain View, CA


I am seeking a Research Engineer to join a venture-backed AI and robotics startup building an AI-powered observability platform for critical infrastructure. This is an opportunity to work on cutting-edge multimodal AI systems that combine language, vision, agentic reasoning, and robotics to monitor and manage some of the world's largest physical environments, including data centers, solar farms, wind farms, and oil refineries.


The company has already deployed its technology with customers, recently secured FAA approval for autonomous drone operations, and is founded by former Google and Meta robotics engineers with multiple successful exits valued at over $450M combined.


What You'll Do:

  • Build multimodal AI systems combining language models, vision models, and agentic reasoning
  • Develop VLMs and multimodal agents capable of understanding, analyzing, and acting on complex real-world data
  • Design systems that allow users to interact naturally with fleets of autonomous robots
  • Work on large-scale reasoning systems that analyze historical incidents, identify faults, and recommend corrective actions
  • Build infrastructure for grounding language models in visual observations from drones and robotic platforms
  • Develop retrieval, memory, and decision-making systems for mission-critical environments
  • Collaborate closely with robotics and autonomy engineers to bridge perception, reasoning, and execution
  • Help shape the future architecture of a rapidly evolving AI platform operating in the physical world


What We're Looking For:

  • Experience working with Vision Language Models (VLMs), multimodal foundation models, or Vision Language Action (VLA) systems
  • Strong background in machine learning, deep learning, or applied AI research
  • Experience with LLMs, agentic systems, retrieval, or multimodal reasoning
  • Exposure to computer vision, perception, robotics, autonomy, or embodied AI is highly desirable
  • Strong software engineering skills with the ability to build production-grade AI systems
  • Experience taking research concepts into real-world applications
  • Ability to thrive in highly autonomous, fast-moving startup environments


This role sits at the intersection of some of the most exciting areas in AI today: multimodal models, agentic systems, robotics, and real-world deployment.


You'll help build an intelligent platform capable of identifying faults across infrastructure the size of small cities, analyzing historical and live operational data, coordinating robotic inspections, and guiding human operators towards the fastest and most effective resolution.


If you'd like to find out more, apply today!

Ethan Lewis

elewis@acceler8talent.com