Top Hybrid Machine Learning Engineer Jobs

The Senior Machine Learning Engineer will design and build systems for processing social media data, implementing infrastructure for ML systems, and working with advanced AI models.

As a Staff Machine Learning Engineer, you will develop models and agents for AI integration into products, focusing on performance monitoring and issue resolution.

Conduct original research at the intersection of machine learning and autonomous driving, focusing on world models and reinforcement learning. Collaborate with researchers, develop prototypes, and publish findings.

As a Senior Research Engineer, you will optimize ML infrastructure, develop data pipelines, deploy ML models, and mentor team members.

The Machine Learning Intern will develop a dynamic Key-Value cache solution for LLM inference using PyTorch, focusing on memory optimization and execution efficiency.

Lead and grow a machine learning engineering team to prototype, fine-tune, and deploy LLMs (including RAG/agent frameworks), integrate third-party AI APIs, build scalable real-time ML APIs, and collaborate with product and engineering to productionize AI solutions.

The Senior Staff Machine Learning Engineer will architect ML systems for search and recommendations, mentor engineers, and collaborate across teams to enhance content discovery on Patreon.

Lead the development of predictive models to enhance ticket fulfillment and customer experience, collaborating with cross-functional teams to innovate on operational strategies.

Lead the development of AI-driven workflows by building data pipelines, deploying ML models, and collaborating with cross-functional teams. Mentor junior engineers and contribute to engineering best practices.