Machine Learning Engineer; Secret clearance

Machine Learning Engineer (Secret clearance or above required)

This role is part of a Series D funded AI software firm in the defense space. Responsibilities include building machine learning and language‑learning models, utilizing nascent AI frameworks, running Dev Ops deployments with Kubernetes/Docker, and designing & delivering AI solutions to enhance and ship applications into production. Candidates should be well‑versed in Python and have experience with Docker/Kubernetes, ML training models, LLMs, and agentic + generative AI frameworks & patterns.

$170,000 / yr – $220,000 / yr

• Bachelor’s degree in a related field
• Active Secret clearance or above (TS or TS/SCI preferred)
• Proficient with Python and Python data stack (PyTorch, Num Py, Matplotlib, etc.)
• Experience with agentic AI patterns and frameworks
• Experience building ML training models and algorithms
• Background with generative AI, including transformers and/or LLM project work
• Experience with deployment and containerization using Docker and/or Kubernetes

• Master’s or PhD in a related field
• Experience fine‑tuning and deploying LLMs
• Experience with data engineering and big‑data technologies such as Spark, Airflow, Snowflake, Databricks, or similar
• Experience with frameworks such as Lang Chain, Hugging Face, GPT, or similar
• Experience with cloud solutions
• Programming experience with Java, Haskell, Go, Scala, Rust, or similar languages
• Background with microservice architecture

• Full‑time direct hire with competitive equity package
• Medical insurance
• Vision insurance
• Child care support
• Paid maternity leave
• Paid paternity leave
• 401(k) with retirement matching plan
• Disability insurance
• Student loan assistance
• Tuition assistance
• Competitive bonus structure

Full‑time employment, hybrid schedule (3 days on site), Arlington, VA.