Reinforcement Learning Engineer Jobs in Michigan

Our internal platform, PlantOS, uses the same reinforcement learning toolkits that power self ... ML engineers own the features and models built on top of it. The training and monitoring layer is ...

... of reinforcement learning for agent training - Familiarity with multi-modal AI systems (vision ... programming for real-time applications - Familiarity with message queues and event-driven ...

... reinforcement learning for tactical decision making). * Drive continuous improvement in software ... Strong C++ programming skills (C++14/17 or later) with experience in real-time, safety-critical, or ...

... reinforcement learning for tactical decision making). * Drive continuous improvement in software ... Strong C++ programming skills (C++14/17 or later) with experience in real-time, safety-critical, or ...

Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh) * Cloud-based ... Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) * Support ...

The resource also provides technical oversight to developers in the team that support other ... reinforcement learning. * Experience with OCR (Optical Character Recognition) Tesseract, Google ...

Research Engineer - Post-Training & Small Language Models (SLMs), Healthcare AI Three hundred fifty ... reinforcement learning / alignment workflows. Build and optimize training using techniques such as ...

Research Engineer - Post-Training & Small Language Models (SLMs), Healthcare AI Three hundred fifty ... reinforcement learning / alignment workflows. Build and optimize training using techniques such as ...

... learning, feature engineering, and model evaluation. • Demonstrated experience in digital twin ... reinforcement learning for decision making. • Strong statistical background and experience ...

Working knowledge of machine learning, feature engineering, and model evaluation. * Demonstrated ... Familiarity with stochastic optimization, robust optimization, or reinforcement learning for ...

Working knowledge of machine learning, feature engineering, and model evaluation. * Demonstrated ... Familiarity with stochastic optimization, robust optimization, or reinforcement learning for ...

Working knowledge of machine learning, feature engineering, and model evaluation. * Demonstrated ... Familiarity with stochastic optimization, robust optimization, or reinforcement learning for ...

Working knowledge of machine learning, feature engineering, and model evaluation. * Demonstrated ... Familiarity with stochastic optimization, robust optimization, or reinforcement learning for ...

Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) * Support ... Data Engineering tools & platforms (Spark, Databricks, distributed systems) * Cloud AI ecosystems ...

Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) * Support ... Data Engineering tools & platforms (Spark, Databricks, distributed systems) * Cloud AI ecosystems ...

Working knowledge of machine learning, feature engineering, and model evaluation. Demonstrated ... Familiarity with stochastic optimization, robust optimization, or reinforcement learning for ...

... Engineering and R&D department. The Advanced Robotics team is focused on developing novel ... as Deep Learning, Reinforcement learning, Transformers, Natural Language Processing (NLP ...

... ML engineers, and front-line managers; recruit from a small expert pool, calibrate the bar, and ... simulation and synthetic data, reinforcement learning, or large-scale ML platforms. • ...

We continue to enhance reliability and accelerate engineering productivity by strengthening our SRE ... Exposure to reinforcement learning or advanced optimization methods in applied settings

... ML engineers, and front-line managers; recruit from a small expert pool, calibrate the bar, and ... simulation and synthetic data, reinforcement learning, or large-scale ML platforms. • ...