Machine Learning Engineer

Role: ML Engineer Location- Oakland/MTV/San Diego CA BS or higher in Computer Science or equivalent practical experience 5+ years building production AI/ML systems; prior experience leading an engineering effort a plus Strong CS fundamentals - data structures, algorithms, system design - plus solid ML fundamentals (classification, regression, clustering, neural networks) Proficiency in Python and standard ML frameworks (PyTorch, TensorFlow, Pandas/NumPy) Practical experience with LLMs: prompt engineering, fine-tuning, and frameworks like LangChain Experience building or operating agentic systems, agent frameworks, or long-term memory/context architectures for AI applications Familiarity designing evaluation frameworks or offline/online eval pipelines for measuring model and agent quality Track record of launching AI integrations in production and evaluating their real-world impact Strong cross-functional collaboration skills, partnering effectively with data scientists, product managers, and engineers across global teams Proficiency in one or more full-stack languages (JavaScript, Java) and experience designing scalable services - microservices, relational/NoSQL data stores, Kubernetes