Senior ML Engineer

📋 Description Design, train, and evaluate DL/ML/GenAI models (LLMs, diffusion). Build and maintain ML pipelines for continuous training and real-time/batch inference using MLOps. Collaborate with backend/frontend teams to integrate AI models into microservices with low latency. Architect scalable data pipelines for preprocessing, vectorizing, and ingestion of large datasets. Implement evaluation for alignment, bias, guardrails, and latency/cost optimization. Provide technical leadership, code reviews, and mentor engineers on ML best practices. 🎯 Requirements 6+ years deploying ML/AI in production Proficient in Python Experience building RAG solutions Experience with vector databases Passion for ML/AI products Strong communication and organizational skills 🎁 Benefits Healthcare coverage (medical/dental/vision) Equity via discretionary RSUs Generous PTO and parental leave 401K with up to 3% matching Monthly tech allowance Well-being perks and community events