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Senior Reinforcement Learning Jobs in Kentucky (NOW HIRING)

Toyota

Physical AI Senior Engineer

Georgetown, KY · On-site

$94K - $129K/yr

... Senior Engineer The primary responsibility of this role is to develop and implement innovative ... Experience with reinforcement learning, imitation learning, or advanced robotics AI techniques.

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Senior Reinforcement Learning information

What are some common challenges faced by senior reinforcement learning professionals when deploying models in real-world environments?

Senior Reinforcement Learning professionals often encounter challenges such as ensuring model robustness when transferring algorithms from simulated to real-world environments, handling limited or noisy data, and managing the computational demands of training complex models. Additionally, safety and interpretability are critical, as real-world deployments can have significant impacts if models behave unpredictably. Close collaboration with domain experts and engineering teams is essential to address these challenges and ensure successful, scalable deployments.

What are the key skills and qualifications needed to thrive as a senior reinforcement learning engineer, and why are they important?

To thrive as a Senior Reinforcement Learning Engineer, you need deep expertise in machine learning, reinforcement learning algorithms, and programming languages such as Python, often supported by an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and RL-specific libraries, as well as experience with high-performance computing and cloud platforms, is typically required. Strong problem-solving abilities, collaboration, and communication skills help distinguish top performers in this role. These skills ensure the development of efficient, robust RL models and effective teamwork on complex AI projects.

What is the difference between Senior Reinforcement Learning vs Data Scientist?

AspectSenior Reinforcement LearningData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; experience with RL frameworksDegree in CS, Statistics, or related; strong analytical skills
Work EnvironmentResearch labs, AI teams, tech companies focusing on ML projectsBusiness analytics, data analysis, and modeling in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, marketing, tech, and more

While both roles require strong analytical skills and technical knowledge, Senior Reinforcement Learning specialists focus on developing RL algorithms and models, often in AI research settings. Data Scientists analyze data to inform business decisions across industries. The roles overlap in data handling and programming but differ in their core focus and application areas.

What does a senior reinforcement learning engineer do?

A Senior Reinforcement Learning Engineer designs, develops, and implements advanced machine learning algorithms that enable systems to learn optimal behaviors through trial and error. They work on complex problems such as robotics, game AI, recommendation systems, and automated decision-making. In addition to coding and model development, they often lead research initiatives, collaborate with cross-functional teams, and mentor junior engineers. Their role requires deep knowledge of reinforcement learning theory, practical experience with machine learning frameworks, and strong programming skills.
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Senior Reinforcement Learning jobs near you

Physical AI Senior Engineer

Toyota Motor Sales, U.S.A., Inc.

Georgetown, KY • On-site

$94K - $129K/yr

Full-time

Medical, Retirement, PTO

Posted 3 days ago

New

Toyota rating

7.2

Company rating: 7.2 out of 10

Based on 875 frontline employees who took The Breakroom Quiz

26th of 44 rated automakers

Job description

Overview
Who we are
Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for talented team members who want to Dream. Do. Grow. with us.
Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, 'job flexibility benefits' [also known as I-140 or Adjustment of Status portability], etc.) now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future.
Who we're looking for
Toyota's Manufacturing Innovation & Transformation (MIT) - Manufacturing Center of Excellence is looking for a passionate and highly motivated Physical AI Senior Engineer
The primary responsibility of this role is to develop and implement innovative activities, improving manufacturing competitiveness and reducing fixed costs in North America
Reporting to the MIT Manager, the person in this role will support the Production Engineering Division and SOAR Group's objective to improve manufacturing competitiveness.
Reporting to the Engineering Manager the person in this role will support the Advanced Technology department's objective to learn and confirm innovative technologies for vehicle manufacturing.
What you'll be doing
  • Integrate and deploy AI-enabled robotic solutions to improve manufacturing capability, flexibility, and performance.
  • Develop and implement computer vision, machine learning, and sensor fusion solutions for real-world manufacturing applications (e.g., bin picking, part handling, inspection).
  • Build and optimize AI models for robust performance on industrial hardware, balancing latency, reliability, and compute constraints.
  • Bridge the gap between modern AI Python scripts and standard industrial automation.
  • Utilize simulation tools (e.g., Isaac Sim, MuJoCo, or equivalent) to support concept validation, synthetic data generation, and Sim2Real deployment.
  • Lead and support equipment trials, debugging, and performance validation from proof-of-concept through production deployment (yokoten).
  • Collaborate cross-functionally with robotics engineers, controls engineers, and plant manufacturing teams to integrate AI into production systems.
  • Identify, evaluate, and implement emerging Physical AI technologies through benchmarking, supplier engagement, and industry events.
  • Ensure solutions meet safety, reliability, and manufacturability requirements, including alignment with applicable standards and internal risk assessments.
  • Present technical concepts, results, and recommendations to stakeholders, management, and executive leadership.
  • Manage contractors to design and construct testing cells.
  • Produce clear, detailed documentation to support future scaling and customer enablement.

What you bring
  • Bachelor's or master's degree in Robotics, Computer Science, Data Science, Electrical Engineering, Mechanical Engineering, or related technical field (or equivalent experience).
  • Demonstrated experience with manufacturing automation deployments.
  • Experience in robotics, AI/ML, or advanced automation development.
  • Having a full-stack mindset while working in team environments building complete solutions, not just independent AI algorithms, demonstrations, and experiments.
  • Strong hands-on experience in at least two of the following:
    • Computer vision (e.g., detection, segmentation, 3D perception)
    • Machine learning / deep learning
    • Robotics
  • Proficiency in Python, C++, ROS-based systems; strong software engineering fundamentals.
  • Deep understanding of different sensor types (RGBD cameras, LiDAR, Time-of-Flight sensors, etc.) and the ability to tune for image quality accuracy and performance.

What you may bring
  • Experience with simulation environments (e.g., Isaac Sim, MuJoCo, Gazebo,
  • or similar).
  • Experience with reinforcement learning, imitation learning, or advanced robotics AI techniques.
  • Experience with data collection strategies, including synthetic data or teleoperation-assisted learning.
  • Exposure to industrial robot programming, PLC integration, or manufacturing systems.
  • Experience working in a high-volume manufacturing environment, preferably automotive.
  • Familiarity with relevant robot safety standards (ANSI/RIA, ISO).

What we'll bring
During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:
  • A work environment built on teamwork, flexibility, and respect.
  • Professional growth and development programs to help advance your career, as well as tuition reimbursement.
  • Team Member Vehicle Purchase Discount.
  • Toyota Team Member Lease Vehicle Program (if applicable).
  • Comprehensive health care and wellness plans for your entire family.
  • Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute (if applicable).
  • Paid holidays and paid time off.
  • Referral services related to prenatal services, adoption, childcare, schools, and more.
  • Tax-Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA).
  • Relocation assistance (if applicable).

Belonging at Toyota
Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star.
Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.
Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com.

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