<p>Job Description</p> <p>Required</p> <ul> <li>3-6 years of experience in ML, AI engineering, or a related applied role </li><li>Strong Python skills - pipelines, model training, API development </li><li>Hands-on experience with ML frameworks (PyTorch, TensorFlow, or scikit-learn) </li><li>Experience building and maintaining data pipelines for ML workflows </li><li>Practical LLM experience - prompt engineering, chaining, and agent frameworks (LangChain, LangGraph, or similar) </li><li>Experiment tracking tools - MLflow, Weights & Biases, or equivalent </li><li>Strong software engineering fundamentals - Git, testing, clean code, documentation </li></ul> <p>Preferred</p> <ul> <li>Experience with hardware performance data or systems-level modeling </li><li>Familiarity with RAG systems and production ML deployment </li><li>Knowledge of dataset versioning tools (DVC) and containerization (Docker) </li><li>Experience building internal developer tools </li></ul> <p>Education</p> <p>Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field - or equivalent hands-on experience.</p> <p>Location: Cupertino, CA</p> <p>Salary Range: $70,000-$130,000 a Year</p> <p>#LI-AS3</p>