Top Machine Learning Engineer Jobs

Lead design, development, and production deployment of ML and algorithmic solutions. Own end-to-end ML systems, support distributed production reliability, communicate tradeoffs, and apply generative AI, LLM fine-tuning, RAG, and agentic techniques to product problems.

As a Lead Machine Learning Engineer, you will develop and implement ML models, optimize data pipelines, and collaborate with cross-functional teams to enhance business solutions.

Develop real-time algorithms for self-driving vehicle trajectories, integrate machine learning with motion planning, and design production-grade software for the Aurora Driver.

Responsible for developing and implementing optimization models for ecommerce retail operations, writing production-quality code, and collaborating across teams to deliver analytical solutions.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

The role involves designing and deploying AI/ML models, collaborating with stakeholders, and enhancing operational efficiency through innovative solutions.

Responsible for designing, building, deploying, and maintaining production-grade AI and ML solutions in a cloud-native environment, while collaborating with engineering and data teams.

Lead development and production deployment of advanced ML and time-series models for water and infrastructure systems, perform research in Physical AI, collaborate cross-functionally, communicate impact to stakeholders, and mentor junior data scientists.

Design and implement reinforcement learning algorithms for robotics tasks, optimizing training pipelines, collaborating with engineers, and conducting performance experiments.

Design and develop machine learning models for multimodal data integration, collaborating with scientists and engineers to create scalable solutions.