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Reinforcement Learning Engineer Salary Jobs in Wisconsin

YUM

WI · On-site

$105.50 - $132.20/hr

As a Machine Learning Engineer, you will play a crucial role in developing and deploying ... Salary Range: 105,500 - 132,200 Equal Employment Opportunity Yum! Brands is proud to be an equal ...

Allen Control Systems

WI · On-site

$140 - $180/hr

Senior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company ... Competitive salary * ACS Equity Package * Health, Dental, Vision Insurance * Paid Time Off Allen ...

Serve Robotics

$225K - $260K/yr

Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a ... The listed base salary range applies to candidates based in the US. Compensation may vary depending ...

DR Power LLP

Principal Data & AI Architect

Waukesha, WI · On-site

$140 - $190/hr

Azure AI Engineer Associate. Work Experience Experience with generative AI and reinforcement learning. Knowledge / Skills / Abilities Publications or patents in AI, machine learning, or related ...

Generac

Principal Data & AI Architect

Waukesha, WI · On-site

Azure AI Engineer Associate. Work Experience * Experience with generative AI and reinforcement learning. * Knowledge / Skills / Abilities * Publications or patents in AI, machine learning, or related ...

Unity Technologies

WI · On-site

$130.40 - $195.60/hr

... harnesses, reinforcement learning, or agentic workflows.* Familiarity with 3D data formats and ... Beyond base salary, this role may be eligible for equity awards and participation in our company ...

Belfius Bank SA/NV

WI · On-site

$102.76 - $148.43/hr

... Networks en reinforcement learning is hierbij een must. * genAI: prompt engineering, structured outputs, ...(zie verantwoordelijkheden). * Sterke programmeervaardigheden in Python en SQL.

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Reinforcement Learning Engineer Salary information

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

Reinforcement Learning Engineer SalaryMachine Learning Engineer Salary
Average salary varies based on experience, location, and industry, typically ranging from $100,000 to $150,000 annually.Average salary also varies widely, generally between $90,000 and $140,000 annually, depending on similar factors.

Both roles require strong programming skills, knowledge of machine learning frameworks, and experience with data analysis. Reinforcement Learning Engineers focus specifically on developing algorithms for decision-making tasks, while Machine Learning Engineers work on broader AI models. Salaries are comparable, with Reinforcement Learning Engineers often earning slightly more in specialized industries.

What is the salary of reinforcement learning engineer?

The salary of a reinforcement learning engineer typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas may offer higher compensation, often including benefits such as stock options and bonuses.

What are popular job titles related to Reinforcement Learning Engineer Salary jobs in Wisconsin?

For Reinforcement Learning Engineer Salary jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Reinforcement Learning Engineer Salary jobs in Wisconsin look for?

The top searched job categories for Reinforcement Learning Engineer Salary jobs in Wisconsin are:

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Cities in Wisconsin with the most Reinforcement Learning Engineer Salary job openings:

Reinforcement Learning Engineer Salary jobs near you

Machine Learning Engineer II (5289)

WI • On-site

YUM
Traveler Accommodation • 10K+ employees

5.4

Company rating: 5.4 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Recommended by parents

Respectful managers

Uninterrupted breaks

Learn more about YUMexternal

$105.50 - $132.20/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Company Overview

Yum Brands is a global leader in the fast‑food industry, with a portfolio of renowned brands including KFC, Pizza Hut, Taco Bell, and more. We are dedicated to providing delicious, convenient, and innovative food experiences to our customers worldwide.

Position Overview

We are seeking a talented and passionate Machine Learning Engineer to join our dynamic team at Yum Brands. As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting‑edge machine learning models and solutions to enhance various aspects of our business operations, from customer experience optimization to supply chain management.

Key Responsibilities
  • Collaborate with cross‑functional teams including data scientists, software engineers, and business stakeholders to identify opportunities for leveraging machine learning techniques to drive business outcomes.
  • Design, develop, and deploy scalable machine learning models and algorithms that address business challenges and improve operational efficiency.
  • Optimize machine learning models for performance, scalability, and efficiency.
  • Build robust data pipelines and infrastructure to support the training and deployment of machine learning models in production environments.
  • Work with DevOps teams to automate deployment processes, monitor system performance, and ensure the smooth operation of applications and services in production.
  • Stay updated on emerging technologies and industry trends in machine learning, software engineering, and cloud computing, and evaluate their potential impact on our business operations.
Qualifications
  • Bachelor’s or master’s degree in computer science, engineering, mathematics, or a related field.
  • Proven experience (4+ years) in developing and deploying in production environments, preferably in the context of real‑world business applications.
  • Proficiency in Python with strong software engineering skills and experience in building scalable and maintainable code.
  • Proficiency in message queue technologies and services such as Kafka, Pulsar, or RabbitMQ and experience working with real‑time data streaming.
  • Experience working with containerization technologies such as Docker and Kubernetes.
  • Strong analytical and problem‑solving skills, with the ability to translate business requirements into technical solutions.
  • Excellent communication and collaboration skills, with the ability to work effectively in a fast‑paced and dynamic environment.
Nice to Have
  • Familiarity with latest tools and trends surrounding Large Language Models and Generative AI.
  • Experience with cloud computing platforms such as AWS, Azure, or GCP.
Benefits

Employees (and their eligible family members) may enroll in medical, dental, vision, legal, and accidental death and dismemberment insurance coverage, as well as FSA/HSA, depending on the enrolled medical plan. Yum! also provides short‑term disability, long‑term disability, and life insurance. Employees may enroll in our 401(k) plan. Yum! provides 4 weeks of vacation, paid sick leave, 10 paid holidays, a floating day off, half‑day Fridays year‑round, and 2 paid days for volunteer time each calendar year.

Salary Range: 105,500 - 132,200

Equal Employment Opportunity

Yum! Brands is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic. Yum! is committed to working with and providing reasonable accommodation to applicants with disabilities or special needs.

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