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Live In Operations Research Engineer Jobs in Rochester, NY

That's where you come in. You'll work closely with state-of-the-art AI models on tasks like ... engineering, DFIR, malware analysis, threat intelligence, or adjacent fields, including government ...

At Stantec, we live our corporate values every day. * Stantec was ranked the 5th most sustainable ... In February 2021, Stantec announced a pledge to be carbon neutral for 2022 and achieve operational ...

Under limited supervision, the Technical Processing Engineer (TPE) will provide technical solutions and expertise in operations, engineering, and maintenance. The TPE will manage, coordinate, and ...

Under limited supervision, the Technical Processing Engineer (TPE) will provide technical solutions and expertise in operations, engineering, and maintenance. The TPE will manage, coordinate, and ...

Under limited supervision, the Technical Processing Engineer (TPE) will provide technical solutions and expertise in operations, engineering, and maintenance. The TPE will manage, coordinate, and ...

Additional tools are currently in development. Role Summary We are seeking a Quality & DevOps Engineer to own the reliability, quality, and delivery pipeline of our platform. This is a hands-on role ...

Our employees have a front row seat to the latest innovations shaping the world we live in and the ... Develops key engineering and marketing relationships within the company's supplier business units ...

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How much do live in operations research engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for live in operations research engineer in Rochester, NY is $83,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,600.00 and $92,700.00 per year, depending on experience, location, and employer.

What is the difference between Live In Operations Research Engineer vs Operations Research Analyst?

AspectLive In Operations Research EngineerOperations Research Analyst
CredentialsBachelor's or Master's in Operations Research, Industrial Engineering, or related fieldsBachelor's or Master's in Operations Research, Mathematics, or related fields
Work EnvironmentOn-site, often in specialized facilities or client locations, with long hoursOffice-based, primarily analytical and report-focused tasks
Industry UsageUsed in industries like manufacturing, logistics, and government agencies requiring on-site presenceCommon in consulting, corporate, and government sectors for data analysis and modeling

Live In Operations Research Engineers typically work on-site in specialized environments, often requiring long hours and direct involvement in operational settings. Operations Research Analysts usually work in office settings, focusing on data analysis, modeling, and reporting. Both roles require similar educational backgrounds but differ mainly in work environment and industry application.

What are popular job titles related to Live In Operations Research Engineer jobs in Rochester, NY? For Live In Operations Research Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Live In Operations Research Engineer jobs in Rochester, NY look for? The top searched job categories for Live In Operations Research Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Live In Operations Research Engineer jobs? Cities near Rochester, NY with the most Live In Operations Research Engineer job openings:
Reinforcement Learning Engineer ($400k - $800k salary)

Reinforcement Learning Engineer ($400k - $800k salary)

Baton

Farmington, NY

$400K - $800K/yr

Other

Posted 16 days ago


Job description

Reinforcement Learning Engineer

Baton Corporation is the development company that builds and operates the entire technology stack behind pump.fun, the largest memecoin launchpad in production today. The systems are low latency, high throughput, live under constant load, and break if you get them wrong.

What You'll Do

As our Reinforcement Learning Engineer, you will own a production trading system that directly deploys real capital. This is not a research role - it's about building learning systems that are robust, measurable, and safe under real-world constraints.

  • Own and ship an RL-driven trading agent using real capital to increase trading volume and user participation in a memecoin ecosystem

  • Design reward functions and policies aligned with product goals while enforcing strict downside risk constraints

  • Build evaluation and validation frameworks (simulation, offline analysis) to minimize reliance on live sequential testing

  • Safely transition an existing heuristic-based production system toward learning-based approaches

  • Take end-to-end ownership and technical leadership as the sole RL expert, from data and modeling through deployment, monitoring, and safeguards

Who You Are:
  • You have previously put an autonomous learning system into production that directly controlled capital, pricing, traffic, or resources and can explain what broke and how they fixed it

  • Have personally designed and enforced hard risk limits (capital caps, loss bounds, circuit breakers) in a live system, not just talked about "risk-aware objectives."

  • Have built a policy evaluation loop from scratch (simulators, replay, counterfactuals, shadow deployments) before trusting live rollout.

  • Can make and defend uncomfortable tradeoffs (e.g. heuristic > RL, bandit > deep RL) based on empirical results instead of ideology

  • Have operated as the single owner of a complex ML system in a small team, with no safety net of research orgs, infra teams, or "ML platforms."

What It's Like To Work Here
  • We work in person

  • Hours can be long and unconventional

  • The pace is intense

  • Expectations are high, and impact is immediate

  • Working at Baton is not for everyone

Why Join Us?
  • Unmatched ownership and autonomy

  • Exposure to systems operating at the edge of crypto scale

  • The ability to ship fast and see real-world impact immediately

If you're motivated by responsibility, speed, and building products used by massive audiences, you'll feel at home here.