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Operations Research Intern Jobs in Berkeley, CA (NOW HIRING)

Operations Intern

South San Francisco, CA · On-site

$18.25 - $24/hr

Support operations with process improvements, inventory management, and supplier coordination ... Contribute to documentation, reporting, and research tasks as assigned. Requirements Eligibility ...

Operations Intern

South San Francisco, CA · On-site

$18.25 - $24/hr

Support operations with process improvements, inventory management, and supplier coordination ... Contribute to documentation, reporting, and research tasks as assigned. Requirements Eligibility ...

Operations Intern

South San Francisco, CA · On-site

$18.25 - $24/hr

Support operations with process improvements, inventory management, and supplier coordination ... Contribute to documentation, reporting, and research tasks as assigned. Requirements Eligibility ...

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Operations Research Intern information

See Berkeley, CA salary details

$11

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$29

How much do operations research intern jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for operations research intern in Berkeley, CA is $21.60, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $23.56 per hour, depending on experience, location, and employer.

What does an operations research intern do?

An Operations Research Intern applies mathematical modeling, statistical analysis, and optimization techniques to solve business problems and improve operational efficiency. They work with large datasets, develop algorithms, and use tools like Python, R, or Excel to analyze trends and make data-driven recommendations. Interns often collaborate with cross-functional teams to implement solutions in areas such as logistics, supply chain management, or resource allocation. This role provides valuable experience in problem-solving, critical thinking, and decision-making using quantitative methods.

What are the key skills and qualifications needed to thrive as an operations research intern?

To thrive as an Operations Research Intern, you should have strong analytical and mathematical skills, typically supported by coursework in operations research, statistics, or engineering. Familiarity with optimization software, programming languages such as Python or R, and spreadsheet tools like Excel is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication enhance collaboration within multidisciplinary teams. These skills are essential for analyzing complex data, developing practical solutions, and presenting actionable insights to support organizational decision-making.

What types of projects might I work on as an operations research intern?

As an Operations Research Intern, you can expect to work on projects that involve analyzing business processes, optimizing resource allocation, or developing mathematical models to improve efficiency. Your typical day may include collecting and cleaning data, running simulations, and preparing visual presentations of your findings. You'll likely collaborate with experienced analysts, engineers, and business stakeholders to address real-world problems faced by the organization. This hands-on experience adds meaningful value to your resume and helps build a strong foundation for a future career in operations research or analytics.

Do operations research interns get paid?

Operations research interns are typically paid positions, with compensation varying based on the company, location, and internship duration. Many internships also offer stipends or hourly wages and may require relevant skills such as data analysis or programming. Unpaid internships are less common but may exist in certain organizations or academic settings.

Is operations research in high demand?

Operations research is a growing field with strong demand across industries such as logistics, manufacturing, and healthcare. Operations research interns and professionals with skills in data analysis, optimization, and programming are increasingly sought after as organizations seek to improve efficiency and decision-making processes.

What would an operations research intern do?

An operations research intern assists in analyzing complex systems and processes to improve efficiency and decision-making. They often use mathematical modeling, optimization techniques, and software tools like Excel, R, or Python to evaluate data and develop solutions under supervision. The role typically involves data collection, problem-solving, and supporting senior analysts or researchers.

What are popular job titles related to Operations Research Intern jobs in Berkeley, CA?

For Operations Research Intern jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Operations Research Intern jobs in Berkeley, CA look for?

The top searched job categories for Operations Research Intern jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Operations Research Intern jobs?

Cities near Berkeley, CA with the most Operations Research Intern job openings:

Infographic showing various Operations Research Intern job openings in Berkeley, CA as of August 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $44,928 per year, or $21.6 per hour.

Research Intern, Computer Vision

San Francisco, CA • On-site

Other

Posted 4 days ago


Job description

About Attentive.ai:
Attentive.ai builds AI for construction and field services. Our takeoff and estimating platform, Beam AI, is used by 1,200+ contractors across the US and Canada and has completed over 500,000 takeoffs. Attentive.ai is transforming the field services and construction industries with our flagship AI solution - Beam AI. Our platform empowers businesses to double their bidding capacity and accelerate growth through automation and intelligent insights. More than 1k+ businesses across the U.S. and Canada already use our products to boost sales velocity and streamline operations. We have raised $30.5M in Series B funding, accelerating our mission to make advanced AI tools accessible, practical, and impactful in the real world. We are proudly Backed by Insight Partners, Peak XV (Surge), InfoEdge, Tenacity and Vertex Ventures.
About the Role:
As a Research Intern, you'll work on the computer vision and deep learning that power automated takeoff and estimation. The core problem is unsolved: a plan set is hundreds of pages drafted to dozens of CAD conventions, where the same primitive is a wall, a hatch pattern, or a leader line depending on context a model has to infer.
You'll own one scoped research problem end to end, paired with a senior researcher - framing it, running the experiments, and building a prototype evaluated on real data. It won't be a side project; it'll be something on the team's roadmap.
What You'll Do:
  • Own one research problem end to end: framing, data, experiments, and a prototype that runs on real drawings
  • Train and evaluate deep learning models for object detection, segmentation, or structured extraction on vector and raster construction drawings
  • Explore self-supervised and representation learning on our corpus of unlabeled drawings
  • Work with multimodal signals, combining visual layout, geometry, and text
  • Design the evaluation for your problem, and present results to the research team
What We're Looking For:
  • Currently pursuing a Master's, or PhD in Computer Science, AI/ML, Data Science, Mathematics, Electrical Engineering, or a related field
  • Strong foundations in Python and at least one deep learning framework (PyTorch or TensorFlow)
  • Coursework or project experience in computer vision, image processing, or machine learning
  • Curiosity about applied research and a willingness to iterate quickly on ideas
  • Comfortable working in a fast-paced, startup-like environment with close collaboration
  • Clear written and verbal communication skills
Nice to have:
  • Prior research experience, publications, or projects in computer vision or deep learning
  • Familiarity with vector graphics and CAD formats (SVG, DXF, DWG, IFC)
  • LLM and NLP experience like structured extraction, retrieval over long documents
  • Experience with cloud environments (GCP, AWS, or Azure)
How We Work:
  • Empirical over theoretical - we'd rather run the experiment than argue about it
  • Truth-seeking, including about our own results. A negative result reported early is worth more than a positive one defended late
  • Research is judged by whether it holds up in front of 1,200 contractors, not by whether it's clever
  • Honest feedback, given directly

Compensation:
The stipend range for this role is 80-90$ per hour. The final offer depends on experience and level.