Machine Learning Engineer 4

What you'll do

• Design and develop state-of-the-art agentic AI systems and platforms powered by generative AI.
• Define APIs, integrate with UIs, and deploy cloud services for AI products.
• Implement ML- and LLM-Ops best practices to deliver high-quality, production-ready code.
• Build ML workflows for enterprise-scale model customization, serving, and ecosystem integration.
• Partner with researchers and applied scientists to productize new innovations.
• Manage the full product lifecycle, including design, deployment, and production operations.

What we're looking for

• PhD or MS degree in Computer Science or a related field is required.
• 5+ years of experience in machine learning, including production-scale deployments, is required.
• Proficiency in one or more programming languages such as Python and Java is required.
• Experience with at least one deep learning framework such as TensorFlow or PyTorch is required.
• Experience with LLMs including prompt/context-engineering, modern LLM APIs, and fine-tuning models is required.
• Experience with Relational (MySQL, Postgres) and NoSQL datastores (Redis, ElasticSearch, Snowflake) is required.
• Experience with agile development and cloud development on Azure/AWS is required.
• Experience working with both research and product teams is required.