... in reinforcement learning under non-stationarity, simulation and digital twins, and closing sim-to-real gaps--plus the judgment to know when a simpler approach wins. • Demonstrated ability to de ...
... in reinforcement learning under non-stationarity, simulation and digital twins, and closing sim-to-real gaps--plus the judgment to know when a simpler approach wins. • Demonstrated ability to de ...
Staff Machine Learning Engineer
Ann Arbor, MI · On-site
$160K - $240K/yr
Deep expertise in reinforcement learning under non-stationarity, simulation and digital twins, and closing sim-to-real gaps-plus the judgment to know when a simpler approach wins. * Demonstrated ...
Staff Machine Learning Engineer
Ann Arbor, MI · On-site
$160K - $240K/yr
Deep expertise in reinforcement learning under non-stationarity, simulation and digital twins, and closing sim-to-real gaps-plus the judgment to know when a simpler approach wins. * Demonstrated ...
Staff Machine Learning Engineer
Ann Arbor, MI · On-site
$130 - $180/hr
Deep expertise in reinforcement learning under non-stationarity, simulation and digital twins, and closing sim-to-real gaps--plus the judgment to know when a simpler approach wins. * Demonstrated ...
Staff Machine Learning Engineer
Ann Arbor, MI · On-site
$130 - $180/hr
Deep expertise in reinforcement learning under non-stationarity, simulation and digital twins, and closing sim-to-real gaps--plus the judgment to know when a simpler approach wins. * Demonstrated ...
Machine Learning Engineer
Ann Arbor, MI · On-site
Responsibilities : • Run reinforcement learning experiments in our physically realistic simulators of mineral processing operations, and help turn the results into better controllers. • Build and ...
Machine Learning Engineer
Ann Arbor, MI · On-site
Responsibilities : • Run reinforcement learning experiments in our physically realistic simulators of mineral processing operations, and help turn the results into better controllers. • Build and ...
Machine Learning Engineer
Ann Arbor, MI · On-site
$120K - $180K/yr
Run reinforcement learning experiments in our physically realistic simulators of mineral processing operations, and help turn the results into better controllers. * Build and refine pieces of our ...
Machine Learning Engineer
Ann Arbor, MI · On-site
$120K - $180K/yr
Run reinforcement learning experiments in our physically realistic simulators of mineral processing operations, and help turn the results into better controllers. * Build and refine pieces of our ...
Knowledge of reinforcement learning or deep learning techniques specific to time-series data or control problems * Proficiency in MATLAB/Simulink and Stateflow (for model-based design and control ...
Knowledge of reinforcement learning or deep learning techniques specific to time-series data or control problems * Proficiency in MATLAB/Simulink and Stateflow (for model-based design and control ...
Understanding of Machine Learning, Deep Learning, Reinforcement Learning, and Generative AI concepts * Proficiency in Python and common AI/ML frameworks such as TensorFlow, PyTorch, and RL libraries
Understanding of Machine Learning, Deep Learning, Reinforcement Learning, and Generative AI concepts * Proficiency in Python and common AI/ML frameworks such as TensorFlow, PyTorch, and RL libraries
Senior, Machine Learning Engineer - End-to-End
Ann Arbor, MI · On-site +1
$119K - $158K/yr
Experience with reinforcement learning or imitation learning in real-world systems * Experience with distributed training frameworks (e.g., Ray) * Understanding of vehicle dynamics, motion planning ...
Senior, Machine Learning Engineer - End-to-End
Ann Arbor, MI · On-site +1
$119K - $158K/yr
Experience with reinforcement learning or imitation learning in real-world systems * Experience with distributed training frameworks (e.g., Ray) * Understanding of vehicle dynamics, motion planning ...
Doctorate degree Requires advanced knowledge in a field of science or learning, predominantly intellectual in character. This knowledge is acquired by a prolonged course of specialized intellectual ...
Doctorate degree Requires advanced knowledge in a field of science or learning, predominantly intellectual in character. This knowledge is acquired by a prolonged course of specialized intellectual ...
Understanding of Machine Learning, Deep Learning, Reinforcement Learning, and Generative AI concepts * Proficiency in Python and common AI/ML frameworks such as TensorFlow, PyTorch, and RL libraries
Understanding of Machine Learning, Deep Learning, Reinforcement Learning, and Generative AI concepts * Proficiency in Python and common AI/ML frameworks such as TensorFlow, PyTorch, and RL libraries
Employees in this job function are responsible for developing intelligent programs, cognitive ... automation, reinforcement learning, virtual assistants and specialized programming Key ...
Quick apply
Employees in this job function are responsible for developing intelligent programs, cognitive ... automation, reinforcement learning, virtual assistants and specialized programming Key ...
Understanding of Machine Learning, Deep Learning, Reinforcement Learning, and Generative AI concepts * Proficiency in Python and common AI/ML frameworks such as TensorFlow, PyTorch, and RL libraries
Quick apply
Understanding of Machine Learning, Deep Learning, Reinforcement Learning, and Generative AI concepts * Proficiency in Python and common AI/ML frameworks such as TensorFlow, PyTorch, and RL libraries
Postdoctoral Fellows in Democratic Deliberation
Holland, MI · On-site
$45K - $62K/yr
It includes a student learning community, campus events and programming, community engagement ... The Postdoctoral Fellows will help Hope in advancing civil dialogue on campus and will become ...
Postdoctoral Fellows in Democratic Deliberation
Holland, MI · On-site
$45K - $62K/yr
It includes a student learning community, campus events and programming, community engagement ... The Postdoctoral Fellows will help Hope in advancing civil dialogue on campus and will become ...
Postdoctoral Scholar, Chemical Engineering
Houghton, MI · On-site
$60K/yr
... in the laboratory and pilot facilities. 9. Commit to learning about continuous improvement ... postdoctoral, industrial, national laboratory, or externally funded project experience is ...
Postdoctoral Scholar, Chemical Engineering
Houghton, MI · On-site
$60K/yr
... in the laboratory and pilot facilities. 9. Commit to learning about continuous improvement ... postdoctoral, industrial, national laboratory, or externally funded project experience is ...
Postdoctoral Scholar, Physics
Houghton, MI · On-site
$70K - $90K/yr
Consistently ranked among the best universities in the country for return on investment, Michigan ... learning about continuous improvement strategies and applying them to everyday work. Actively ...
Postdoctoral Scholar, Physics
Houghton, MI · On-site
$70K - $90K/yr
Consistently ranked among the best universities in the country for return on investment, Michigan ... learning about continuous improvement strategies and applying them to everyday work. Actively ...
... and reinforcement learning) to address business needs such as churn prediction, recommendation ... Required : • 5+ years of experience in a Data Science role, with a proven track record of ...
... and reinforcement learning) to address business needs such as churn prediction, recommendation ... Required : • 5+ years of experience in a Data Science role, with a proven track record of ...
Senior AI/ML Scientist
Detroit, MI · On-site
$143K - $229K/yr
Apply prescriptive analytics techniques such as optimization, recommendation systems, and reinforcement learning to business problems. * Lead in the development and testing of appropriate ML ...
Senior AI/ML Scientist
Detroit, MI · On-site
$143K - $229K/yr
Apply prescriptive analytics techniques such as optimization, recommendation systems, and reinforcement learning to business problems. * Lead in the development and testing of appropriate ML ...
Postdoctoral Fellow - Assessment & Evaluation
Ann Arbor, MI · On-site
$75K - $85K/yr
... Learning disorders, Pediatric neuropsychological assessment, integrated reports, differential ... Success in this role includes delivering accurate, timely evaluations, producing high-quality ...
Postdoctoral Fellow - Assessment & Evaluation
Ann Arbor, MI · On-site
$75K - $85K/yr
... Learning disorders, Pediatric neuropsychological assessment, integrated reports, differential ... Success in this role includes delivering accurate, timely evaluations, producing high-quality ...
Postdoctoral Fellow - Assessment & Evaluation
Ann Arbor, MI · On-site
$75K - $85K/yr
... Learning disorders, Pediatric neuropsychological assessment, integrated reports, differential ... Success in this role includes delivering accurate, timely evaluations, producing high-quality ...
Quick apply
Postdoctoral Fellow - Assessment & Evaluation
Ann Arbor, MI · On-site
$75K - $85K/yr
... Learning disorders, Pediatric neuropsychological assessment, integrated reports, differential ... Success in this role includes delivering accurate, timely evaluations, producing high-quality ...
Postdoctoral Fellow - Assessment & Evaluation
Ann Arbor, MI · Hybrid
$75K - $85K/yr
... Learning disorders, Pediatric neuropsychological assessment, integrated reports, differential ... Success in this role includes delivering accurate, timely evaluations, producing high-quality ...
Postdoctoral Fellow - Assessment & Evaluation
Ann Arbor, MI · Hybrid
$75K - $85K/yr
... Learning disorders, Pediatric neuropsychological assessment, integrated reports, differential ... Success in this role includes delivering accurate, timely evaluations, producing high-quality ...
Postdoctoral In Reinforcement Learning information
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 the key skills and qualifications needed to thrive as a postdoctoral researcher in reinforcement learning?
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 the difference between Postdoctoral In Reinforcement Learning vs Postdoctoral In Machine Learning?
| Aspect | Postdoctoral In Reinforcement Learning | Postdoctoral In Machine Learning |
|---|---|---|
| Required Credentials | PhD in Computer Science, AI, or related field; strong programming skills; research experience in reinforcement learning | PhD in Computer Science, AI, or related field; strong programming skills; research experience in machine learning |
| Work Environment | Academic labs, research institutions, industry R&D teams focused on reinforcement learning applications | Academic labs, research institutions, industry R&D teams working on various machine learning techniques |
| Industry Usage | Primarily in AI research, robotics, gaming, and autonomous systems | Broader 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 popular job titles related to Postdoctoral In Reinforcement Learning jobs in Michigan?
For Postdoctoral In Reinforcement Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Michigan look for?
The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Michigan are:
What cities in Michigan are hiring for Postdoctoral In Reinforcement Learning jobs?
Cities in Michigan with the most Postdoctoral In Reinforcement Learning job openings:
Full-time
Re-posted 15 days ago
Job description
Job Summary:
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. They are seeking a Staff Machine Learning Engineer to set the technical direction for autonomous refining operations, focusing on building, validating, and optimizing control models across their facilities. This role involves solving complex modeling problems and collaborating with leadership to shape the autonomy roadmap.
Responsibilities:
• Own the autonomy roadmap across multiple circuits and facilities—deciding which unit operations to automate next and where investment in simulation and modeling pays off.
• Define how control models are validated and certified safe to deploy on real refining equipment, including how the gap between simulation and reality is measured and closed.
• Set the standards for our simulators and our modeling stack, so the whole team builds controllers that are reproducible, safe, and grounded in real project economics.
• Personally solve the hardest modeling and control problems—non-stationarity, safety constraints, and multi-objective optimization across recovery, reagent use, energy, and uptime.
• Partner with leadership on major capital and operational decisions, translating techno-economic and process insight into strategy.
• Multiply the team through technical direction, design review, and mentoring of engineers at every level—and partner with our data engineering leaders to shape the data platform the autonomy roadmap requires. You own the modeling and the on-plant outcome; they own the backbone.
Qualifications:
Required:
• 8+ years in machine learning engineering (or an exceptional 6+ with demonstrated org-level technical leadership), including production ML or control systems that ran in the real world.
• A track record of setting technical direction for ML systems in physical, industrial, robotics, or control domains.
• Deep expertise in reinforcement learning under non-stationarity, simulation and digital twins, and closing sim-to-real gaps—plus the judgment to know when a simpler approach wins.
• Demonstrated ability to de-risk ambiguous, never-been-done problems: framing the objective, the success metric, and the path for others.
• Strong cross-functional influence with both technical leadership and domain experts—chemists, metallurgists, process engineers, and geologists.
• A builder at heart. Staff engineers here still ship.
Company:
Mariana Minerals develops mineral projects using technology to supply critical minerals for energy, AI, and defense applications. Founded in 2022, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. They are seeking a Staff Machine Learning Engineer to set the technical direction for autonomous refining operations, focusing on building, validating, and optimizing control models across their facilities. This role involves solving complex modeling problems and collaborating with leadership to shape the autonomy roadmap.
Responsibilities:
• Own the autonomy roadmap across multiple circuits and facilities—deciding which unit operations to automate next and where investment in simulation and modeling pays off.
• Define how control models are validated and certified safe to deploy on real refining equipment, including how the gap between simulation and reality is measured and closed.
• Set the standards for our simulators and our modeling stack, so the whole team builds controllers that are reproducible, safe, and grounded in real project economics.
• Personally solve the hardest modeling and control problems—non-stationarity, safety constraints, and multi-objective optimization across recovery, reagent use, energy, and uptime.
• Partner with leadership on major capital and operational decisions, translating techno-economic and process insight into strategy.
• Multiply the team through technical direction, design review, and mentoring of engineers at every level—and partner with our data engineering leaders to shape the data platform the autonomy roadmap requires. You own the modeling and the on-plant outcome; they own the backbone.
Qualifications:
Required:
• 8+ years in machine learning engineering (or an exceptional 6+ with demonstrated org-level technical leadership), including production ML or control systems that ran in the real world.
• A track record of setting technical direction for ML systems in physical, industrial, robotics, or control domains.
• Deep expertise in reinforcement learning under non-stationarity, simulation and digital twins, and closing sim-to-real gaps—plus the judgment to know when a simpler approach wins.
• Demonstrated ability to de-risk ambiguous, never-been-done problems: framing the objective, the success metric, and the path for others.
• Strong cross-functional influence with both technical leadership and domain experts—chemists, metallurgists, process engineers, and geologists.
• A builder at heart. Staff engineers here still ship.
Company:
Mariana Minerals develops mineral projects using technology to supply critical minerals for energy, AI, and defense applications. Founded in 2022, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.