Staff AI/ML Engineer (Large Language Model) (TS/SCI) {S}

Position Overview

The Staff AI/ML Engineer (LLMs) will lead the development of Agentic AI capabilities and other LLM based capabilities for a multitude of mission management applications.

Responsibilities

• Lead and mentor a multidisciplined team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
• Lead and mentor a multidisciplinary team delivering advanced AI/ML solutions
• Apply LLMs to complex domain-specific problems and operational workflows
• Adapt and fine-tune foundation models for specialized use cases
• Design and implement retrieval-augmented generation (RAG) systems and semantic search architectures
• Build production-grade LLM applications and agentic systems
• Deploy scalable AI solutions across cloud, on-prem, and hybrid environments
• Analyze large, multi-modal datasets to extract meaningful features and actionable insights
• Translate emerging research into applied, mission-relevant capabilities
• Communicate technical strategy, status, and risks to internal and external leadership

Required Qualifications

• B.S. in machine learning, computer science, mathematics, or related fields
• 8+ years of experience, preferably in software development or as a data scientist with 2+ years of building LLM applications using some of the following:
• Fine-tuning foundational models
• Steering Techniques (e.g. Sparse auto encoders, representation tuning)
• Building adapters to use foundational models (e.g. PEFT, llama factory)
• Prompt engineering techniques / Inference time techniques (e.g. chain of thought, tree of thoughts, etc.)
• Using Retrieval Augmented Generation techniques to populate and query vector databases (e.g. Weaviate, pinecone, pgvector)
• Using LLM Frameworks (e.g. LangChain, DSPy, Microsoft Agent Framework)
• Using AI APIs (e.g. AWS Bedrock, OpenAI)
• Using LLM deployment frameworks (e.g. llama.cpp, vllm, tgi)
• Developing UIs with ReAct
• Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
• Experience with Python and data science / machine learning libraries (e.g. NumPy, Pandas, Polars, scikit-learn, etc.)
• Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)
• Active TS/SCI U.S. Government Security Clearance

Preferred Qualifications

• M.S. or PhD in machine learning, computer science, mathematics, or related fields
• Experience leading an interdisciplinary team of researchers and software developers
• Experience with any of the following:
• Large Language Models and experience identifying ways to incorporate them into new domains and applications
• Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
• Natural Language Processing algorithms such as BERT
• Reinforcement learning and familiarity with Gymnasium Gym, OpenEnv, TorchRL, RLlib, and Stable Baselines
• Applying clustering algorithms and/or deep neural networks to real life problems
• Implementing tracking and pattern-of-life algorithms
• Experience with GenAI Ops techniques (e.g. LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix)
• Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
• Experience with Linux
• Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF, etc.
• Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
• Experience with any of the following additional languages: Java, C++, Rust, Go, and/or C#
• Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
• Experience shaping and writing proposals
• Adjudicated Counter Intelligence or Full Scope Polygraph