AI​/ML Engineer; Mid-Level

Join a Mission That Matters

Torch.

AI builds the government’s
AI-native control layer
—a foundational data and intelligence capability designed to give the United States enduring ownership over how knowledge is created, managed, and applied in mission‑critical environments. Our vision is simple and profound:
ensure the U.S.—not a vendor—operates its own AI infrastructure to make decisive, real‑time operational decisions.

We work at the center of national security, helping agencies transform data into actionable knowledge across domains including information advantage, ISR, joint effects, force protection, and mission support. If you’re driven to build technology that strengthens U.S. defense readiness and protects national interests, Torch.

AI offers an opportunity to make meaningful impact at national scale.

Torch.

AI operates at the intersection of advanced AI, secure systems, and real‑world operations. We solve complex, high‑stakes problems by building scalable, modular technology that reduces cognitive burden, improves mission performance, and delivers timely, reliable, predictive intelligence.

Here, you’ll collaborate with a diverse team of engineers, data experts, veterans, and mission practitioners. You’ll have the autonomy to own meaningful work and the support of teammates who share context openly, challenge assumptions, and think creatively. Every day brings something different—early prototypes, production deployments, mission support, or scaling next‑generation capabilities.

We’re a fast‑paced, entrepreneurial environment where curiosity, adaptability, and a deep commitment to national security drive everything we do.

• Design and implement end‑to‑end ML pipelines for tasks like classification, entity resolution, or semantic search.
• Develop production‑ready code and maintain high engineering standards (documentation, testing, versioning).
• Collaborate with data engineers and backend teams to integrate ML workflows into scalable systems.
• Implement training, tuning, deployment, monitoring, and versioning as part of an MLOps workflow.
• Build or enhance RAG components, including embedding workflows and vector search integration.
• Develop proof‑of‑concepts and production ML services using modern ML/NLP libraries (Transformers, spaCy, scikit‑learn).
• Participate in architecture discussions and propose solutions aligned with product and platform needs.
• Explore and prototype multi‑agent or tool‑use architectures when applicable (optional, not core ownership).

• B.S. or M.S. in Computer Science, Engineering, or related field.
• 3–6 years of experience building ML systems or NLP applications.
• Strong Python development skills; ability to write production‑quality modules and services.
• Hands‑on experience training, tuning, evaluating, and deploying ML models.
• Experience working with LLMs, embeddings, or vector search frameworks.
• Experience with ML/NLP libraries such as Transformers, spaCy, or scikit‑learn.
• Working knowledge of cloud services, data storage systems, and CI/CD workflows.
• Ability to collaborate across functions and communicate technical work clearly.
• Familiarity with Dev Ops or infrastructure‑as‑code is a plus, not required.
• Familiarity with MLOps tooling (MLflow, DVC, Kubeflow, Sage Maker) is a plus, not required.
• Experience in defense or government‑related sectors is a plus, not required.

Some roles require an active
Secret
,
Top Secret
, or
Top Secret/SCI
clearance. If you do not currently hold an active clearance but believe you may be eligible, we encourage you to apply as sponsorship is also available.

We hire for roles at our headquarters in
Leawood, KS
, and for hybrid/remote positions in the
Arlington, VA, Washington, DC, and Maryland (DMV)region. Some roles may require limited travel (