Staff AI/ML Engineer (Large Language Model) (TS/SCI) {S}
Indexed description
ARKA Group L.P. is looking for a Staff AI/ML Engineer to lead the development of Agentic AI capabilities and other LLM-based capabilities for mission management applications.
Machine Learning & Artificial Intelligence
Responsibilities
- 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.
- 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 (eg 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.
- 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
- 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 Large Language Models, Transformer-based architectures, Natural Language Processing algorithms, Reinforcement learning, clustering algorithms, tracking algorithms, GenAI Ops techniques, Machine Learning libraries, Linux, CUDA, AWS cloud computing resources, Java, C++, Rust, Go, C#, application deployment, virtualization, and containerization
- Experience shaping and writing proposals
- Adjudicated Counter Intelligence or Full Scope Polygraph
Machine Learning & Artificial Intelligence
What We Offer
- Comprehensive medical/vision/dental insurance packages
- Company contributions to qualified HSA accounts
- 401k retirement plan with industry-leading company contributions
- 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
- 13 paid holidays
- Upfront tuition assistance for approved degree programs
- Annual bonus program based on company and employee performance
- Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
- 4 weeks paid Parental Leave
- Employee assistance program (EAP)
Visa Restrictions: No visa sponsorship is available for this position.
Science
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