Senior Machine Learning Engineer

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• 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
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• 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
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• Design, develop, and deploy agentic workflows to orchestrate multi-step reasoning, tool use, and decision-making across production systems
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• Productionize AI models from research prototypes into scalable, deployable systems used in real world applications
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• 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
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• Implement model optimization techniques such as quantization, pruning, distillation, and hardware specific acceleration
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• Build and maintain Retrieval Augmented Generation (RAG) pipelines, including vector database integration for contextual retrieval
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• Work with multi-modal AI systems across computer vision, audio, and natural language domains
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• Optimize model execution for distributed and resource constrained environments, ensuring reliability under variable connectivity conditions
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Benefits

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• Grow with us: Equity options so you share in our growth. Build your future as we build ours.
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• Family first: Parental leave and fertility support for every stage of life. Your family matters here.
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• Plan your future: A 401(k) to help you save and invest. Secure what's ahead with confidence.
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• Stay well: Comprehensive health coverage for body and mind. Because balance fuels great work.
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• Keep learning: A stipend to explore, study, and sharpen your skills. Growth never stops.
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• Work anywhere: Remote-first with flexible time off to recharge. Find balance wherever you are.
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Requirements

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• Familiarity with multi-modal models and synthetic data generation methods
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• Deep proficiency in PyTorch, TensorFlow, or Hugging Face Transformers
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• Active US Security clearance
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• Strong algorithmic and problem solving skills, especially in distributed or constrained compute environments
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• Proven experience deploying AI models across cloud, edge, and mobile hardware environments
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• 4+ years of experience in applied AI, ML engineering, or production AI systems
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• Expertise in model compression and optimization (quantization, pruning, distillation)
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• Experience building RAG pipelines and integrating vector databases (e.g., Quadrant, ChromaDB, FAISS, Milvus, Pinecone)
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• Ownership - Taking full responsibility for one's actions and decisions, demonstrating commitment to the success of our clients
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• Truth - Emphasizing transparency and honesty in every interaction and decision
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• Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others
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• Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement
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• We seek individuals who exemplify the following:
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• Strong understanding of GPU computing, CUDA, and performance profiling
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• Excellent communication and technical documentation skills for collaboration across multi disciplinary teams
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• Understanding of AI governance and compliance frameworks relevant to public sector deployments
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• Experience with edge AI, federated learning, or offline inference systems
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• Experience integrating models into large scale distributed systems or microservice architectures
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