Sr. Machine Learning Engineer (US Security Clearance)

We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused on building and optimizing production-ready AI systems for secure and distributed environments.

You will be responsible for transforming prototype models into scalable, efficient, and reliable production systems that operate seamlessly across a spectrum of hardware from government cloud infrastructure to edge devices in restricted or disconnected environments., * Design, develop, and deploy agentic workflows to orchestrate multi-step reasoning, tool use, and decision-making across production systems.

• Productionize AI models from research prototypes into scalable, deployable systems used in real world applications.
• Engineer adaptive ML systems using LoRA, PEFT, and on-device inference strategies, leveraging PyTorch, TensorFlow, and Hugging Face Transformers for model development, fine-tuning, and optimization.
• Implement model optimization techniques such as quantization, pruning, distillation, and hardware-specific acceleration.
• Build and maintain Retrieval Augmented Generation (RAG) pipelines, including vector database integration for contextual retrieval.
• Work with multi-modal AI systems across computer vision, audio, and natural language domains.
• Optimize model execution for distributed and resource-constrained environments, ensuring reliability under variable connectivity conditions.

• 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.

Preferred Skills

• Experience with edge AI, federated learning, or offline inference systems.
• Understanding of AI governance and compliance frameworks relevant to public sector deployments.
• Experience integrating models into large-scale distributed systems or microservice architectures.
• Excellent communication and technical documentation skills for collaboration across multidisciplinary teams.
• Strong understanding of GPU computing, CUDA, and performance profiling.

Core Values

• Truth - Emphasizing transparency and honesty in every interaction and decision.
• Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.
• Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
• Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

• Competitive salary
• 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