Top Hybrid Machine Learning Engineer Jobs

The Machine Learning Engineer will develop and test GenAI architectures, fine-tune LLMs, apply ML algorithms, and contribute to architectural design in a collaborative environment.

Lead the development of forecasting models and systems to drive informed decision-making in OpenAI's Strategic Finance team, collaborating with various cross-functional teams.

Design, iterate, and productionize ML models for recommendation, ranking, routing, and monetization. Lead A/B testing and causal measurement, build dashboards and analytics, define metrics, collaborate with Product and Engineering, and scale ML/analytics infrastructure and model lifecycle management.

Design and deploy real-time marketplace algorithms and decision systems combining ML, optimization, and causal inference. Lead end-to-end projects from research to production, mentor scientists, collaborate cross-functionally, and measure impact via experiments and feedback-aware systems.

The Senior Machine Learning Engineer will design, build, and deploy ML solutions, focusing on payments while collaborating with diverse teams to enhance financial applications.

Lead the technical strategy for machine learning modeling, manage production models, mentor ML experts, and enhance ML infrastructure.

Design and optimize ML models for localization in autonomous trucks using sensor fusion and map-based techniques. Collaborate with teams to enhance model robustness and integrate into the autonomy stack.

As a Senior Machine Learning Engineer, you will develop high-performance services, innovate AI/ML applications, design algorithms, and collaborate closely with teams to optimize ad systems.

Develop cutting-edge AI/ML fraud models, manage model lifecycle, collaborate with cross-functional teams, and ensure model compliance and fairness.

Lead a team of data scientists at Resideo, overseeing machine learning model development and execution for HVAC performance, leak detection, and energy optimization.