ZipRecruiter

Log In

1

Reinforcement Learning Jobs in Wisconsin (NOW HIRING)

Us Venture

Senior AI Engineer

Green Bay, WI · On-site

$101.60K - $139.60K/yr

... reinforcement learning approaches. * Proficiency in multiple programming languages, frameworks, and technologies such as Python, SQL, ReactJS, Node.js, JavaScript, TypeScript, Apache Beam, dbt, and ...

The Home Depot

Senior Data Scientist

Milwaukee, WI

Strong practical knowledge of LLM, Reinforcement Learning, Hugging Face, Generative AI, Signal Processing, and Outlier Detection, Bayesian Networks. * Leadership Skills: A Data Science Lead should ...

Johnson Controls

Senior Data Scientist

Milwaukee, WI · On-site

Strong practical knowledge of LLM, Reinforcement Learning, Hugging Face, Generative AI, Signal Processing, and Outlier Detection, Bayesian Networks. * Leadership Skills: A Data Science Lead should ...

Johnson Controls

Senior Data Scientist

Milwaukee, WI · On-site

Strong practical knowledge of LLM, Reinforcement Learning, Hugging Face, Generative AI, Signal Processing, and Outlier Detection, Bayesian Networks. * Leadership Skills: A Data Science Lead should ...

U.S. Venture, Inc.

Senior AI Engineer

Green Bay, WI · On-site

$101.60K - $139.60K/yr

... reinforcement learning approaches. * Proficiency in multiple programming languages, frameworks, and technologies such as Python, SQL, ReactJS, Node.js, JavaScript, TypeScript, Apache Beam, dbt, and ...

next page

Showing results 1-20

People also search for

All JobsReinforcement Learning JobsReinforcement Learning Jobs in Wisconsin

Reinforcement Learning information

See Wisconsin salary details

$28.8K

$58.9K

$80.7K

How much do reinforcement learning jobs pay per year?

As of May 30, 2026, the average yearly pay for reinforcement learning in Wisconsin is $58,892.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $68,600.00 per year, depending on experience, location, and employer.

What is a Reinforcement Learning job?

A Reinforcement Learning (RL) job involves designing, developing, and optimizing algorithms that enable machines to learn from interactions with their environment. RL professionals work on applications in robotics, finance, gaming, and autonomous systems, leveraging techniques like deep reinforcement learning and policy optimization. Responsibilities often include researching new models, implementing RL algorithms, and improving AI performance. Strong programming skills, knowledge of machine learning frameworks, and an understanding of mathematical concepts like probability and optimization are essential.

What are the key skills and qualifications needed to thrive in the Reinforcement Learning position, and why are they important?

To thrive in a Reinforcement Learning role, you need a solid background in mathematics, statistics, machine learning, and programming (commonly with Python), typically supported by a relevant degree such as in computer science or engineering. Experience with frameworks like TensorFlow, PyTorch, OpenAI Gym, and familiarity with large-scale computing systems are highly valued. Strong problem-solving abilities, curiosity, and effective collaboration and communication skills help you excel in multidisciplinary research and project teams. These capabilities are crucial for designing, implementing, and refining complex algorithms that learn from interaction to solve real-world problems.

What are the common responsibilities of a Reinforcement Learning professional on a daily basis?

A typical day for a Reinforcement Learning professional involves designing and implementing learning algorithms, running experiments, analyzing data, and iterating on models to improve performance. You might collaborate closely with data scientists, software engineers, and product managers to integrate your solutions into broader systems or products. Regular activities also include reading recent research literature and participating in team meetings to discuss progress and obstacles. This dynamic role often balances deep technical work with teamwork to drive innovative applications in areas such as robotics, recommendation systems, or autonomous systems.
More about Reinforcement Learning jobs
What are the most commonly searched types of Reinforcement Learning jobs in Wisconsin? The most popular types of Reinforcement Learning jobs in Wisconsin are:
What job categories do people searching Reinforcement Learning jobs in Wisconsin look for? The top searched job categories for Reinforcement Learning jobs in Wisconsin are:
Reinforcement Learning jobs near you

AI / Machine Learning Junior / Senior / Lead

Catalyst Labs, LLC

Wausau, WI

Full-time

Posted 18 days ago

Job description

About the job AI / Machine Learning Junior / Senior / Lead About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that's deeply embedded in our clients recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI at Tier 1 VC backed startups, scale ups and enterprise tech like Palatir, who are driving the next wave of applied intelligence from model optimization to productized AI workflows.

We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. This is a general / expression of interest, therefore by submitting your CV, you will be considered for upcoming roles with our clients. Locations: Most of our client base is concentrated in California, New York and a few scattered across other States and Europe.

Who Can Apply: We are looking for professionals with demonstrated experience in AI, ML, and Data Science roles within reputed tech companies and/or from top 100 universities in the world. Visa sponsorship is available for existing H1b transfers. Student visas will only be considered on the academic pedigree – top 50 global universities.

Experience: From early-career engineers to senior ICs, leads and principals. General Requirements by Role: Proven experience building or deploying machine learning systems in production environments (not just academic or lab prototypes). Background in a top technology company, Tier 1 VC backed startup, advanced research institute, or high-caliber engineering team.

Solid understanding of ML fundamentals, including model development, optimization, and evaluation. Hands‐on experience with at least one major area of specialization: LLMs & Generative AI Computer Vision NLP / NLU Reinforcement Learning Recommendation Systems Time Series & Forecasting Applied Deep Learning Familiarity with modern ML engineering workflows: MLOps pipelines Model monitoring & observability Deployment to cloud or edge environments Vector databases & embeddings Retrieval‐augmented pipelines Experience with distributed systems, data infrastructure, or high-performance computing is a strong advantage. Professionals with experience in AI Safety , alignment , privacy-preserving ML , or security-focused ML are also welcome.

Strong coding proficiency (Python preferred) and familiarity with relevant frameworks such as PyTorch, TensorFlow, JAX, LangChain, Ray, etc. Experience mentoring engineers, leading technical initiatives, or driving cross‐functional collaboration is valued. Candidates with a track record of publications, open-source contributions, patents, or shipped products demonstrating real-world impact will stand out.

Why Work With Us? Take advantage of the strong relationships we have built with Founders and CTOs. Work with recruiters who understand the difference between a fine‐tuned model and a foundation model and wont ask if you know Python.

We prioritize your confidentiality and privacy throughout the recruitment process. No Spamming. Support refining your resume or portfolio specifically for the roles we shortlist you for.

Direct communication channels. Bypass gatekeepers and speak directly with the actual hiring manager and decision-makers. Insight on compensation structures across geographies, including equity-heavy offers, research-focused roles, or hybrid IC/lead tracks.

#J-18808-Ljbffr

Apply