ZipRecruiter

Log In

1

Reinforcement Learning Engineer Jobs in Rochester, NY

Adaptive ML

Backend Engineer

Farmington, NY

Backend Engineer As a Backend Engineer on our Product Team, you will help transform our technology ... through reinforcement learning. We prioritize product quality, with a bias for clarity ...

Adaptive ML

Backend Engineer

Farmington, NY

Backend Engineer As a Backend Engineer on our Product Team, you will help transform our technology ... through reinforcement learning. We prioritize product quality, with a bias for clarity ...

Gusto

Sr. Staff AI/ML Engineer

Farmington, NY · On-site +1

$245K - $272K/yr

LLMs, NLP, retrieval/RAG, agent orchestration, deep learning, or reinforcement learning. * Hands-on experience building LLM-based applications and agentic workflows -- including prompt engineering ...

New

First Learning

Teacher Assistant

Fairport, NY · On-site

$16 - $18.50/hr

Consult Lead Teacher and adjust programming to maximize enjoyment for children. Communicate ... Provide positive guidance to children that include positive language, positive reinforcement and ...

First Learning

Teacher Assistant

Fairport, NY

$16 - $18.50/hr

Consult Lead Teacher and adjust programming to maximize enjoyment for children. Communicate ... Provide positive guidance to children that include positive language, positive reinforcement and ...

First Learning

Teacher Assistant

Rochester, NY · On-site

$16 - $18.50/hr

... programming as requested. * Use a variety of techniques when conducting activities including modeling, observing, demonstrating, open-ended questioning and reinforcement. * Ensure that all activities ...

First Learning

Teacher Assistant

Rochester, NY

$16 - $18.50/hr

... programming as requested. * Use a variety of techniques when conducting activities including modeling, observing, demonstrating, open-ended questioning and reinforcement. * Ensure that all activities ...

Care-a-lot Child Care

Teacher Assistant

Fairport, NY · On-site

$13.25 - $16.75/hr

Consult Lead Teacher and adjust programming to maximize enjoyment for children. Communicate ... Provide positive guidance to children that include positive language, positive reinforcement and ...

People also search for

All JobsReinforcement Learning Engineer JobsReinforcement Learning Engineer Jobs in Rochester, NY

Reinforcement Learning Engineer information

See Rochester, NY salary details

$37.5K

$114.3K

$188.9K

How much do reinforcement learning engineer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for reinforcement learning engineer in Rochester, NY is $114,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $149,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Reinforcement Learning Engineer, and why are they important?

To thrive as a Reinforcement Learning Engineer, you need a strong background in machine learning, mathematics (especially probability and statistics), and programming languages like Python, often supported by a relevant degree in computer science or engineering. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), RL libraries (like OpenAI Gym), and cloud computing platforms is typically required. Problem-solving skills, creativity, and effective collaboration help set outstanding engineers apart in this field. These competencies enable the design and deployment of advanced RL solutions that address real-world challenges and drive innovation.

What are some common challenges faced by Reinforcement Learning Engineers when deploying models in real-world environments?

One of the main challenges Reinforcement Learning (RL) Engineers face is bridging the gap between simulation and real-world deployment. Models that perform well in controlled environments may struggle with unpredictable data, safety constraints, or limited feedback in production. Additionally, RL algorithms often require significant computational resources and careful tuning to avoid instability. Collaboration with domain experts and software engineers is essential to address these issues and ensure successful integration of RL solutions into existing systems.

What are Reinforcement Learning Engineers?

Reinforcement Learning Engineers are specialized professionals who design, develop, and implement algorithms based on reinforcement learning, a type of machine learning where agents learn to make decisions by receiving rewards or penalties. They work on building models that enable machines to learn optimal actions through trial and error in complex environments. Their responsibilities often include developing RL architectures, tuning hyperparameters, running simulations, and applying RL methods to real-world problems like robotics, gaming, or recommendation systems. RL Engineers typically have strong backgrounds in computer science, mathematics, and deep learning, along with experience in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What is the difference between Reinforcement Learning Engineer vs Machine Learning Engineer?

AspectReinforcement Learning EngineerMachine Learning Engineer
CredentialsBachelor's/Master's in CS, AI, or related; experience with RL frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on RL applicationsTech companies, data-driven firms, AI departments across industries
Industry UsageSpecialized in RL projects like robotics, game AI, autonomous systemsBroader applications including predictive modeling, NLP, computer vision

Reinforcement Learning Engineers focus on developing algorithms that learn through interactions with environments, often in robotics or gaming. Machine Learning Engineers work on a wider range of models and applications. While both roles require strong programming and math skills, RL Engineers specialize in sequential decision-making, whereas ML Engineers handle diverse data-driven tasks across industries.

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

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

Baton

Farmington, NY

$400K - $800K/yr

Other

Posted 9 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.

Apply