About the job
Join our team as a Senior Machine Learning Engineer and help build the next generation of enterprise AI platforms. Own major components, design scalable ML
Responsibilities
Build core agent infrastructure; Design ML workflows at enterprise scale; Innovate, don't just build; Close the loop with customers; Own what you ship
Qualifications
Minimum
Ph.D. or M.S. in Computer Science or related field required; 5+ years of experience building and deploying production ML systems, with demonstrated work on models and AI-powered applications that serve real users at scale; Strong software engineering fundamentals: proficiency in Python and/or Java, experience designing APIs and microservices, and comfort owning production systems end-to-end (deployment, monitoring, incident response); Deep hands-on experience with at least one modern deep learning framework (PyTorch, TensorFlow, JAX); Production experience with LLMs: prompt/context engineering, working with LLM APIs, fine-tuning, or building LLM-powered applications; Experience with cloud platforms (AWS or Azure) and data infrastructure (Postgres, Redis, Elasticsearch, Snowflake, or similar); Self-motivated with strong communication skills and the ability to influence technical decisions in a collaborative, multi-functional environment
Preferred
Agent or LLM infrastructure depth; Platform-scale systems thinking; ML-Ops or Agent-Ops experience; Builder who innovates; Multiplier instincts