Senior Machine Learning Engineer

Highlights

• Build production-ready AI for secure, distributed public-sector environments.
• Turn research prototypes into scalable systems from cloud to disconnected edge.
• Design agentic workflows orchestrating multi-step reasoning and decisions.

What they offer

• Comprehensive health, dental, and vision benefits package
• 401(k) match (U.S.-based employees only)
• $200/month Health & Wellness stipend
• Continuing Education support
• $500/year Function Health subscription (U.S.-based employees only)
• Free parking for in-office employees
• Flexible Time Off (FTO)
• Parental leave for eligible employees
• Supplemental life insurance

Ideal candidate

Mission-driven ML engineer who thrives turning prototypes into reliable systems for constrained, secure environments and cares about transparency, ownership, and public-sector impact.

Requirements

• Active US Security clearance
• 4+ years of experience in applied AI, ML engineering, or production AI systems
• Deep proficiency in PyTorch, TensorFlow, or Hugging Face Transformers
• Proven experience deploying AI models across cloud, edge, and mobile hardware environments
• Expertise in model compression and optimization (quantization, pruning, distillation)
• Experience building RAG pipelines and integrating vector databases (e.g., Quadrant, ChromaDB, FAISS, Milvus, Pinecone)
• Familiarity with multi-modal models and synthetic data generation methods
• Strong algorithmic and problem-solving skills, especially in distributed or constrained compute environments