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Senior Reinforcement Learning Jobs in Warren, MI

Megan soft Inc

Senior AI/ML Engineer

Dearborn Heights, MI · On-site

$96K - $132K/yr

... automation, reinforcement learning, virtual assistants and specialized programming * Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more ...

AV Hiring USA

Senior Project Manager

Wixom, MI · Hybrid

$90K - $115K/hr

Audio reinforcement systems. * Conferencing platforms. * Networking fundamentals. * Demonstrated ... Commitment to technology, continuous learning, and project delivery excellence. Preferences * AVIXA ...

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Senior Reinforcement Learning information

See Warren, MI salary details

$23.5K

$75.4K

$153.6K

How much do senior reinforcement learning jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior reinforcement learning in Warren, MI is $75,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,000.00 and $96,700.00 per year, depending on experience, location, and employer.

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.

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 job categories do people searching Senior Reinforcement Learning jobs in Warren, MI look for?

The top searched job categories for Senior Reinforcement Learning jobs in Warren, MI are:

What cities near Warren, MI are hiring for Senior Reinforcement Learning jobs?

Cities near Warren, MI with the most Senior Reinforcement Learning job openings:

Senior Reinforcement Learning jobs near you

Senior Artificial Intelligence Associate//Dearborn, MI//W2 only

Saanvi Technologies

Dearborn, MI • On-site

Contractor

Re-posted 10 days ago

Job description

Senior Artificial Intelligence Associate

Dearborn, MI 4days onsite

W2

Position Description:

Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Key Responsibilities: 1) Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities 2) Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence 3) Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming 4) Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation

Skills Required:

Google Cloud Platform, Python

Skills Preferred:

This role focuses on hands-on development of AI-powered systems that: • Integrate Google LLMs with BigQuery data • Build tool-using AI agents for root cause analysis • Persist investigation intelligence across sessions • Deliver explainable insights to quality engineers What You Will Buil d • AI agents that generate and execute BigQuery SQL autonomously • Investigation memory models (structured + optional semantic) • Multi-step reasoning workflows • APIs that power UX for quality engineers • Logging, traceability, and governance mechanisms

Experience Required:

Senior Associate Exp: 3 to 5 years experience in relevant field

Experience Preferred:

•Experience with Infrastructure-as-Code (Terraform) and DevOps practices. •Familiarity with CI/CD tools like Tekton or Jenkins. •Experience with Cloud Run, Big Query and GitHub CoPilot. •Understanding of Agile methodologies. •Experience with backend frameworks such as Flask, Django, FastAPI. •Experience with Test-First/Test Driven Development (TDD), MVP, Evolutionary design. •Basic understanding of Machine Learning.

Education Required:

Bachelor's Degree

Education Preferred:

Additional Safety Training/Licensing/Personal Protection Requirements:

Additional Information :

4 days on site

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About Saanvi Technologies

Sourced by ZipRecruiter

Saanvi Technologies is a staffing company that specializes in providing IT professionals to businesses. Our employees are experts in their field, and have the skills and experience necessary to help businesses grow and succeed. Saanvi Technologies is dedicated to helping businesses achieve their goals, and they have a proven track record of success. Our employees are qualified and reliable, and they always go above and beyond to meet the needs of their customers.

Company size

51 - 200 Employees

Headquarters location

Farmington, MI, US

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