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Postdoctoral In Reinforcement Learning Jobs in Detroit, MI

AI/ML Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

... reinforcement learning, intelligent process automation, and virtual assistants. Key ... Background in product engineering and requirements translation for AI implementations

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field * 5+ years of ... Large Language Models (LLMs), Generative AI, RAG, Generative AI, Deep learning, Reinforcement ...

Research and implement a novel or extension of an algorithm in the areas of Artificial Intelligence for our Robotic Manipulation application (such as Deep Learning, Reinforcement learning ...

Practice Manager - AI & Data

Troy, MI ยท On-site

$160K - $190K/yr

Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) * Support ... Experience in: * Generative AI technologies (LLMs, RAG pipelines, prompt engineering, API-based AI ...

... an algorithm in the areas of Artificial Intelligence for our Robotic Manipulation application (such as Deep Learning, Reinforcement learning, Transformers, Natural Language Processing (NLP ...

... in a fast-paced, regulated environment. Key Responsibilities Training Delivery * Facilitate ... Act as a subject matter reinforcement resource, answering learner questions and providing post ...

Senior AI Ops Engineer

Ann Arbor, MI ยท On-site

$102K - $140K/yr

... and Reinforcement Learning with Human Feedback (RLHF). We encourage you to apply if you're a ... Strong proficiency in Python and experience building robust automation frameworks and production ...

Senior AI Ops Engineer

Ann Arbor, MI

$102K - $140K/yr

... and Reinforcement Learning with Human Feedback (RLHF). We encourage you to apply if you're a ... Strong proficiency in Python and experience building robust automation frameworks and production ...

Senior AI Ops Engineer

Ann Arbor, MI ยท On-site

$102K - $140K/yr

... and Reinforcement Learning with Human Feedback (RLHF). We encourage you to apply if you're a ... Strong proficiency in Python and experience building robust automation frameworks and production ...

Senior AI Ops Engineer

Ann Arbor, MI ยท On-site

$102K - $140K/yr

... and Reinforcement Learning with Human Feedback (RLHF). We encourage you to apply if you're a ... Strong proficiency in Python and experience building robust automation frameworks and production ...

Senior AI Ops Engineer

Ann Arbor, MI ยท On-site

$102K - $140K/yr

... and Reinforcement Learning with Human Feedback (RLHF). We encourage you to apply if you're a ... Strong proficiency in Python and experience building robust automation frameworks and production ...

Senior AI Ops Engineer

Ann Arbor, MI ยท On-site

$102K - $140K/yr

... and Reinforcement Learning with Human Feedback (RLHF). We encourage you to apply if you're a ... Strong proficiency in Python and experience building robust automation frameworks and production ...

Senior AI Ops Engineer

Ann Arbor, MI ยท On-site

$102K - $140K/yr

... and Reinforcement Learning with Human Feedback (RLHF). We encourage you to apply if you're a ... Strong proficiency in Python and experience building robust automation frameworks and production ...

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Postdoctoral In Reinforcement Learning information

See Detroit, MI salary details

$24.7K

$58.4K

$82.7K

How much do postdoctoral in reinforcement learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for postdoctoral in reinforcement learning in Detroit, MI is $58,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $65,800.00 per year, depending on experience, location, and employer.

What is the difference between Postdoctoral In Reinforcement Learning vs Postdoctoral In Machine Learning?

AspectPostdoctoral In Reinforcement LearningPostdoctoral In Machine Learning
Required CredentialsPhD in Computer Science, AI, or related field; strong programming skills; research experience in reinforcement learningPhD in Computer Science, AI, or related field; strong programming skills; research experience in machine learning
Work EnvironmentAcademic labs, research institutions, industry R&D teams focused on reinforcement learning applicationsAcademic labs, research institutions, industry R&D teams working on various machine learning techniques
Industry UsagePrimarily in AI research, robotics, gaming, and autonomous systemsBroader applications including data analysis, predictive modeling, and AI research

Postdoctoral In Reinforcement Learning specializes in research related to decision-making algorithms and autonomous systems, whereas Postdoctoral In Machine Learning covers a wider range of AI techniques. Both roles require similar credentials but differ in focus and application areas.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Reinforcement Learning, and why are they important?

To thrive as a Postdoctoral Researcher in Reinforcement Learning, you need a PhD in computer science or a related field, with deep expertise in machine learning, statistics, and algorithm development. Proficiency in programming languages such as Python, experience with deep learning frameworks (e.g., TensorFlow or PyTorch), and familiarity with reinforcement learning libraries are typically required. Strong analytical thinking, problem-solving ability, collaboration, and scientific communication skills help you excel in research teams and publish impactful work. These competencies are vital to advancing state-of-the-art research, developing novel algorithms, and contributing to the academic and industrial progress in AI.

What are some common challenges faced by postdoctoral researchers in reinforcement learning, and how can they be addressed?

Postdoctoral researchers in reinforcement learning often face challenges such as balancing independent research projects with collaborative work, staying up-to-date with rapidly evolving literature, and managing the pressure to publish in top conferences. Effective time management, regular engagement with the research community through seminars and workshops, and seeking mentorship from senior colleagues can help address these challenges. Additionally, collaborating with interdisciplinary teams can offer fresh perspectives and support, making it easier to navigate complex research problems.

What is a Postdoctoral Researcher in Reinforcement Learning?

A Postdoctoral Researcher in Reinforcement Learning is an individual who has completed a PhD and conducts advanced research in the field of reinforcement learning, a branch of artificial intelligence focused on how agents take actions in environments to maximize rewards. These researchers often work in academic, industrial, or governmental research settings, collaborating on projects that advance the theoretical foundations or practical applications of reinforcement learning. Their responsibilities may include designing experiments, developing algorithms, publishing papers, and mentoring graduate students.
What are popular job titles related to Postdoctoral In Reinforcement Learning jobs in Detroit, MI? For Postdoctoral In Reinforcement Learning jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Detroit, MI look for? The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Detroit, MI are:
Artificial Intelligence Specialist (AI/ML Engineer)

Artificial Intelligence Specialist (AI/ML Engineer)

HTC Global Services Inc

Dearborn, MI โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

Job Title Artificial Intelligence Specialist (AI/ML Engineer) Overview / Summary We are seeking an Artificial Intelligence Specialist to develop and implement AI-driven solutions that support data analysis, automation, and decision-making. This role involves working with AI models, machine learning technologies, knowledge graph integrations, cloud-based AI platforms, and MLOps practices to deliver scalable, production-grade solutions. Key Responsibilities Understand business requirements and develop AI algorithms, models, and applications to solve complex problems. Generate recommendations, identify patterns, make predictions, interpret sensor data, and support intelligent automation capabilities. Perform large-scale experimentation and develop data-driven applications that convert data into actionable insights. Drive innovative applications of AI technologies, including: Deep Learning Generative AI Natural Language Processing (NLP) Image Processing Cognitive Automation Intelligent Process Automation Reinforcement Learning Virtual Assistants Research, evaluate, and optimize AI technologies to improve efficiency, automation, and analytical accuracy. Partner with business stakeholders to gather and document requirements and translate them into technical specifications for AI solutions. Lead deployment and integration of pre-developed AI models into cloud-based environments. Collaborate with knowledge graph engineering teams to integrate AI models with enterprise ontologies and graph-based data. Execute AI-assisted software development practices using AI-powered development tools and automated workflows. Design and maintain automated pipelines supporting model inference and data integration. Develop reusable integration patterns and data contracts to support scalable AI implementations across multiple business functions. Required Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field. 5+ years of relevant professional experience. 3+ years of progressive experience in AI/ML, data science, or advanced analytics delivering production-grade solutions in enterprise environments. Strong knowledge of: Artificial Intelligence & Expert Systems Machine Learning Data Science Data Modeling Software Development Lifecycle (SDLC) Strong proficiency in Python and SQL. Familiarity with graph query languages such as Cypher. Experience with MLOps principles and tools such as: Azure ML AWS SageMaker GCP AI Platform Kubeflow MLflow Experience designing and implementing AI-specific SDLC processes. Strong expertise with cloud services and AI platforms, including GCP and Vertex AI. Experience with data integration patterns. Strong analytical, problem-solving, and critical thinking skills. Excellent communication, interpersonal, and stakeholder management skills. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, youโ€™ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. Youโ€™ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected. #LI-Hybrid #LI-SK11