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Reinforcement Learning Engineer Jobs in Warren, MI

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) * Support ... Data Engineering tools & platforms (Spark, Databricks, distributed systems) * Cloud AI ecosystems ...

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) * Support ... Data Engineering tools & platforms (Spark, Databricks, distributed systems) * Cloud AI ecosystems ...

Advanced (PhD) degree in science/engineering disciplines. New PhD grad up to 1-3 years work ... learning, use of digital twins, reinforcement learning. * Strong background in physicsbased ...

New

Advanced (PhD) degree in science/engineering disciplines. New PhD grad up to 1-3 years work ... learning, use of digital twins, reinforcement learning. * Strong background in physics-based ...

Advanced (PhD) degree in science/engineering disciplines. New PhD grad up to 1-3 years work ... learning, use of digital twins, reinforcement learning. * Strong background in physicsbased ...

Delivering consistently high levels of achievement and learning for all students through rigorous ... Develop and/or modify the school's cultural programming and school-wide PBIS process with an ...

PC&L Director

Auburn Hills, MI · On-site

$100 - $150/hr

Assess plant PC&L organizational strengths and gaps; define reinforcement and capability‑building ... Bachelor's or Master's degree in Engineering or Supply Chain. * Proven experience in Production ...

New

PC&L Director

Auburn Hills, MI · On-site

$172K - $195K/yr

Assess plant PC&L organizational strengths and gaps; define reinforcement and capabilitybuilding ... We cultivate a learning environment, dedicating tools and resources to ensure we remain at the ...

Showing results 21-40

Reinforcement Learning Engineer information

See Warren, MI salary details

$35.7K

$108.8K

$179.9K

How much do reinforcement learning engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for reinforcement learning engineer in Warren, MI is $108,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $142,300.00 per year, depending on experience, location, and employer.

What is a reinforcement learning engineer?

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 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 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 Warren, MI? For Reinforcement Learning Engineer jobs in Warren, MI, the most frequently searched job titles are:
What cities near Warren, MI are hiring for Reinforcement Learning Engineer jobs? Cities near Warren, MI with the most Reinforcement Learning Engineer job openings:
Infographic showing various Reinforcement Learning Engineer job openings in Warren, MI as of June 2026, with employment types broken down into 2% As Needed, 95% Full Time, 1% Part Time, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $108,557 per year, or $52.2 per hour.

Full-time

Re-posted 17 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

173rd of 223 rated it services


Job description

About the Role

As an AI Researcher for Computer Vision & Autonomous Robots at TCS, you’ll work on the frontier of applied artificial intelligence, where perception meets physical intelligence. This role is designed for bright, curious, and self-driven graduates who aspire to build the next generation of intelligent robotic systems - capable of seeing, reasoning, and acting autonomously in the physical world.

You will collaborate with interdisciplinary teams of researchers, data scientists, and roboticists to explore, prototype, and implement computer vision and machine learning algorithms that power autonomous robots, humanoids, and intelligent machines. From visual perception and SLAM to multimodal sensor fusion and reinforcement learning, you’ll be pushing the boundaries of what machines can perceive and do.

If you are passionate about AI, robotics, and human–machine collaboration and want to shape how intelligent systems interact with the world - this is your launchpad.

Key Responsibilities

AI Research & Experimentation

  • Research, develop, and prototype novel algorithms in computer vision, deep learning, and autonomous systems.
  • Work on topics such as object detection, pose estimation, scene understanding, 3D reconstruction, and sensor fusion.
  • Contribute to building perception pipelines for autonomous mobile robots (AMRs), humanoids, and collaborative robotic systems.

Development & Implementation

  • Design, train, and optimize deep neural networks using frameworks such as PyTorch or TensorFlow.
  • Develop real-time perception and decision systems using ROS, OpenCV, and NVIDIA Jetson/Isaac SDKs.
  • Implement algorithms for navigation, path planning, and control integration.

Collaboration & Innovation

  • Partner with cross-functional teams in AI, robotics, and systems engineering to co-create innovative prototypes.
  • Participate in TCS research initiatives, innovation challenges, and client-facing proof-of-concept demonstrations.
  • Contribute to whitepapers, patents, and internal publications advancing TCS’s thought leadership in AI and robotics.

Continuous Learning & Experimentation

  • Stay current with advances in AI, robotics, and multimodal learning from academia and industry.
  • Experiment with new architectures (e.g., Vision Transformers, Diffusion Models, Agentic AI frameworks).
  • Test and benchmark algorithms on physical robot platforms and simulation environments (e.g., Gazebo, Isaac Sim).

Required Qualifications & Skills

Educational Background:

  • Master’s or Ph. D in Computer Science, Robotics, Electrical/Electronics Engineering, Mechatronics, or AI/ML from a recognized institution.
  • Strong academic foundation in machine learning, image processing, linear algebra, and probability.

What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Tata Consultancy Services logo

About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US