1

Reinforcement Learning Engineer Jobs in Warren, MI

PC&L Director

Auburn Hills, MI · On-site

$172K - $195K/yr

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 ...

Showing results 41-41

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.

PC&L Director

Faurecia

Auburn Hills, MI • On-site

$172K - $195K/yr

Full-time

Re-posted 4 days ago


Faurecia rating

5.9

Company rating: 5.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Forvia, a sustainable mobility technology leader
The PC&L Director is responsible for leading the regional Production Control & Logistics (PC&L) network and supporting manufacturing plants in the deployment and execution of Forvia logistics standards. This role drives supply chain efficiency, risk mitigation, and continuous improvement while ensuring high customer service levels and the development of PC&L talent across the region.
The PC&L Director partners closely with Operations, Purchasing, Supply Chain, and Program teams to optimize inventory, logistics productivity, freight performance, and launch readiness for new programs.
Your mission, roles and responsibilities
Key Responsibilities
Regional PC&L Leadership
  • Provide functional leadership to Plant PC&L Managers across the region.
  • Directly manage the Division PC&L Sub-Region Coordinator, PC&L Experts team, and New Program Supply Chain team.
  • Assess plant PC&L organizational strengths and gaps; define reinforcement and capability-building plans.
  • Evaluate PC&L competencies across the network, including Plant PC&L Managers.

Customer Service & Program Launch Support
  • Ensure customer satisfaction through proactive service management and strong customer relationships.
  • Anticipate customer requirements and manage PC&L aspects of new program launches.
  • Support and standardize PC&L processes across new and ongoing programs to enable synergies between plants.

Standards, Systems & Compliance
  • Ensure deployment and adherence to Forvia Core Procedures (FCP) and PC&L standards, including:
    • Forvia Excellence System (FES)
      7 Inventory Basics
      7 Delivery Basics
  • Ensure standards are respected across receiving, shipping, booking, inventory management, and office logistics.
  • Support accurate production planning (PIC & PDP), MRP execution, and LISA manifest usage where applicable.

Inventory & Planning Performance
  • Monitor inventory accuracy and performance at the regional level.
  • Drive corrective action plans with plants where deviations are identified.
  • Identify and implement inventory reduction opportunities while minimizing MPM impact.

Logistics Productivity & Cost Optimization
  • Lead productivity initiatives focused on shop-floor logistics efficiency, including:
  • Labor cost optimization
    • Flow optimization
    • Automation and AGV implementation
  • Manage regional freight productivity plans in collaboration with Operations and Purchasing:
    • Truck fill optimization
      Flow consolidation
      Route optimization
  • Partner with Supply Chain and Purchasing on packaging optimization and logistics cost-reduction initiatives.
    Contribute to PC&L budget proposals and track performance against budget.

Continuous Improvement & Best Practices
  • Identify, implement, and standardize best practices across plants.
  • Capitalize and share know-how, lessons learned, and proven solutions across the region.
  • Organize and lead workshops to:
    • Deploy new PC&L standards, processes, and routines
    • Address systemic or common regional issues
    • Align plants on division and group-level initiatives

Your profile and competencies to succeed
Qualifications & Experience
  • Bachelor's or Master's degree in Engineering or Supply Chain
  • Proven experience in Production Control, Logistics, Supply Chain, or Industrial Operations leadership.
  • Experience managing regional or multi-plant PC&L organizations.
  • Strong knowledge of inventory management, production planning, logistics flows, and freight optimization.
  • Experience supporting new program launches in a manufacturing environment.
  • Demonstrated ability to lead cross-functional teams and influence without direct authority.
  • Continuous improvement mindset with experience implementing standardization and productivity initiatives.
  • Automotive manufacturing experience preferred.

What we can do for you
  • At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies.
  • We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development.
  • We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values. Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers. Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count.
  • We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world)
  • We offer a multicultural environment that values diversity and international collaboration. We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans.
  • Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5°C. Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy.

Why join us
FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry.
With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world.
In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard. We have committed to reach CO2 Net Zero by no later than 2045.
As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere.

What Faurecia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom