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AI​/ML Engineer II

Remote / Online - Candidates ideally in
McLean, Fairfax County, Virginia, USA
Listing for: Torch.AI
Remote/Work from Home position
Listed on 2026-07-24
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Location

HQ – Leawood, KS 66211 (primarily headquarters; some hybrid/remote positions available in Arlington, VA, Washington, DC, and Maryland with up to 10% travel)

Position Type

Full‑Time – Clearance Eligible

Security Clearance

Eligible for Secret, Top Secret, or Top Secret/SCI clearance. U.S. citizenship required. No visa sponsorship.

What You’ll Do
  • Design and implement end‑to‑end ML workflows supporting semantic search, classification, entity resolution, and retrieval.
  • Build production‑ready AI services with strong attention to reliability, testability, and maintainability.
  • Develop and tune embedding pipelines, retrieval systems, and retrieval‑augmented generation (RAG) components.
  • Collaborate with data engineering and backend teams to integrate ML capabilities into scalable systems.
  • Implement evaluation workflows tied to measurable mission performance (accuracy, latency, robustness).
  • Support deployment, monitoring, and versioning of ML models as part of a disciplined MLOps lifecycle.
  • Participate in architecture discussions and propose solutions aligned to platform constraints and mission needs.
Core

Skills & Qualifications
  • B.S. or M.S. in Computer Science, Engineering, or related technical field.
  • 3–6 years of experience building applied ML systems or NLP workflows.
  • Strong Python development skills; production‑quality services.
  • Experience training, tuning, evaluating, and deploying ML models.
  • Familiarity with modern ML/NLP libraries (Transformers, spaCy, scikit‑learn, PyTorch).
  • Exposure to cloud environments and containerized deployment patterns.
  • Strong communication skills and ability to collaborate across teams.
Additional Valuable Experience
  • Experience with embeddings, vector search, RAG, and semantic retrieval systems.
  • Familiarity with MLflow, DVC, Kubeflow, Sage Maker, or similar tooling.
  • Experience with graph‑based retrieval, agentic systems, or tool‑use architectures.
  • Experience supporting defense, intelligence, ISR, or mission environments.
Benefits
  • Competitive base salary.
  • Quarterly performance bonuses.
  • Equity participation within first 12 months.
  • Unlimited PTO + 11 paid company holidays.
  • Professional development opportunities.
  • Weekly in‑office catering at HQ.
  • 401(k) plan (no current employer match, under consideration).
  • PPO, HSA, and TRICARE Supplement medical options.
  • Above‑market HSA, FSA, and Dependent Care FSA options.
  • Dental and vision plans above national averages.
  • Employer‑paid life insurance (1× salary).
  • Employer‑paid Short‑Term and Long‑Term Disability.
  • Voluntary Accident, Critical Illness, and Hospital Indemnity coverage.
  • Up to $300/month in tax‑advantaged commuter benefits.
EEO & Equity

Torch.

AI is an Equal Opportunity / Aff

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