Senior Machine Learning Engineer

Transform prototype AI models into scalable, efficient, and reliable production systems for secure distributed environments. Design agentic workflows, build retrieval-augmented generation pipelines, optimize models for cloud, edge, and mobile hardware, and work across multimodal AI domains.

Responsibilities

• Design, develop, and deploy agentic workflows for multi-step reasoning, tool use, and decision-making
• Productionize AI research prototypes into scalable, deployable systems
• Engineer adaptive machine learning systems using LoRA, PEFT, and on-device inference strategies
• Implement model optimization techniques including quantization, pruning, distillation, and hardware-specific acceleration
• Build and maintain retrieval-augmented generation pipelines with vector database integration
• Work with multimodal AI systems across computer vision, audio, and natural language
• Optimize model execution for distributed and resource-constrained environments

Requirements

• Hold an active United States security clearance
• Have 4+ years of experience in applied AI, machine learning engineering, or production AI systems
• Demonstrate deep proficiency in PyTorch, TensorFlow, or Hugging Face Transformers
• Have experience deploying AI models across cloud, edge, and mobile hardware environments
• Demonstrate expertise in model compression and optimization, including quantization, pruning, and distillation
• Have experience building retrieval-augmented generation pipelines and integrating vector databases
• Be familiar with multimodal models and synthetic data generation methods
• Demonstrate algorithmic and problem-solving skills in distributed or constrained compute environments

Benefits

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