Machine Learning Engineer
Ann Arbor, MI · On-site
... of modern deep learning; exposure to reinforcement learning is a strong plus. • Proficiency in Python and comfort reading and debugging an existing codebase. • Curiosity about physical ...
Machine Learning Engineer
Ann Arbor, MI · On-site
... of modern deep learning; exposure to reinforcement learning is a strong plus. • Proficiency in Python and comfort reading and debugging an existing codebase. • Curiosity about physical ...
Machine Learning Engineer
Ann Arbor, MI · On-site
$120K - $180K/yr
Solid grounding in machine learning fundamentals, with working knowledge of modern deep learning; exposure to reinforcement learning is a strong plus. * Proficiency in Python and comfort reading and ...
Machine Learning Engineer
Ann Arbor, MI · On-site
$120K - $180K/yr
Solid grounding in machine learning fundamentals, with working knowledge of modern deep learning; exposure to reinforcement learning is a strong plus. * Proficiency in Python and comfort reading and ...
... deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized ...
Quick apply
... deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized ...
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 ...
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 ...
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
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
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
... Deep understanding of prompt engineering, reasoning techniques, and LLM capabilities Experience with RAG systems, vector databases, and knowledge retrieval Knowledge of reinforcement learning ...
... Deep understanding of prompt engineering, reasoning techniques, and LLM capabilities Experience with RAG systems, vector databases, and knowledge retrieval Knowledge of reinforcement learning ...
... • 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. • ...
... • 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. • ...
Generative AI Researcher
Warren, MI · On-site
... Deep understanding of prompt engineering, reasoning techniques, and LLM capabilities Experience with RAG systems, vector databases, and knowledge retrieval Knowledge of reinforcement learning ...
Generative AI Researcher
Warren, MI · On-site
... Deep understanding of prompt engineering, reasoning techniques, and LLM capabilities Experience with RAG systems, vector databases, and knowledge retrieval Knowledge of reinforcement learning ...
... and reinforcement learning) to address business needs such as churn prediction, recommendation ... or R. • Deep understanding of a broad range of ML techniques, including Gradient Boosting ...
... and reinforcement learning) to address business needs such as churn prediction, recommendation ... or R. • Deep understanding of a broad range of ML techniques, including Gradient Boosting ...
... deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized ...
Quick apply
... deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized ...
... deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized ...
Quick apply
... deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized ...
... and unsupervised learning • Experience with deep learning architectures • Experience ... LangFuse, MLFlow, Arize Phoenix) • Experience with LLMs, Transformers, YOLO, GANs, Reinforcement ...
... and unsupervised learning • Experience with deep learning architectures • Experience ... LangFuse, MLFlow, Arize Phoenix) • Experience with LLMs, Transformers, YOLO, GANs, Reinforcement ...
... deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized ...
Quick apply
... deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized ...
AI Researcher
Detroit, MI · On-site
From visual perception and SLAM to multimodal sensor fusion and reinforcement learning, you'll be ... Design, train, and optimize deep neural networks using frameworks such as PyTorch or TensorFlow.
AI Researcher
Detroit, MI · On-site
From visual perception and SLAM to multimodal sensor fusion and reinforcement learning, you'll be ... Design, train, and optimize deep neural networks using frameworks such as PyTorch or TensorFlow.
From visual perception and SLAM to multimodal sensor fusion and reinforcement learning, you'll be ... Design, train, and optimize deep neural networks using frameworks such as PyTorch or TensorFlow.
From visual perception and SLAM to multimodal sensor fusion and reinforcement learning, you'll be ... Design, train, and optimize deep neural networks using frameworks such as PyTorch or TensorFlow.
From visual perception and SLAM to multimodal sensor fusion and reinforcement learning, you'll be ... Design, train, and optimize deep neural networks using frameworks such as PyTorch or TensorFlow.
From visual perception and SLAM to multimodal sensor fusion and reinforcement learning, you'll be ... Design, train, and optimize deep neural networks using frameworks such as PyTorch or TensorFlow.
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Full-time
Re-posted 28 days ago
Job description
Job Summary:
Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying critical minerals for modern energy and technology. They are seeking a Machine Learning Engineer to develop and improve machine learning systems for mineral refining facilities, working with real data to enhance operational efficiency.
Responsibilities:
• 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 training environments—reward functions, observations, and action logic—with guidance from senior engineers.
• Train control models, track and interpret their performance, and dig into why a model underperforms.
• Help close the gap between simulation and reality by comparing model behavior against real plant data and flagging where the physics diverges.
• Write clean, well-tested code and contribute to the services that put models into production.
• Partner with process and chemistry experts to understand the unit operations you're modeling.
Qualifications:
Required:
• 0–4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing—or a strong recent graduate with demonstrated project depth.
• Solid grounding in machine learning fundamentals, with working knowledge of modern deep learning; exposure to reinforcement learning is a strong plus.
• Proficiency in Python and comfort reading and debugging an existing codebase.
• Curiosity about physical, industrial systems and eagerness to learn chemistry and process engineering from experts who will challenge your assumptions.
• A self-starter who asks good questions, ships, and escalates blockers early.
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 focused on supplying critical minerals for modern energy and technology. They are seeking a Machine Learning Engineer to develop and improve machine learning systems for mineral refining facilities, working with real data to enhance operational efficiency.
Responsibilities:
• 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 training environments—reward functions, observations, and action logic—with guidance from senior engineers.
• Train control models, track and interpret their performance, and dig into why a model underperforms.
• Help close the gap between simulation and reality by comparing model behavior against real plant data and flagging where the physics diverges.
• Write clean, well-tested code and contribute to the services that put models into production.
• Partner with process and chemistry experts to understand the unit operations you're modeling.
Qualifications:
Required:
• 0–4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing—or a strong recent graduate with demonstrated project depth.
• Solid grounding in machine learning fundamentals, with working knowledge of modern deep learning; exposure to reinforcement learning is a strong plus.
• Proficiency in Python and comfort reading and debugging an existing codebase.
• Curiosity about physical, industrial systems and eagerness to learn chemistry and process engineering from experts who will challenge your assumptions.
• A self-starter who asks good questions, ships, and escalates blockers early.
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.