Expert ML Software Engineer
GRVTY · Springfield, Virginia, United States
Posted about a month ago · $150,000 - $165,000
or apply directly on GRVTY's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 30 days GRVTY's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- Yes 81% of GRVTY's roles list one
- Ghost-job risk at GRVTY
- low 0 stale, 1 reposted of 231 open
- Hiring momentum
- 301 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from GRVTY's own greenhouse board since 2026-08-03. Full hiring picture for GRVTY.
About this role
The Expert ML Software Engineer role involves designing, building, and maintaining machine learning systems that automate decision-making processes. Daily responsibilities include developing ML models, creating end-to-end ML pipelines, deploying models as APIs, monitoring their performance, and integrating ML systems with various applications and databases.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of GRVTY as an employer.
What you need
- US Citizen with a TS/SCI Clearance and Ability to obtain a CI Polygraph
- Bachelor’s Degree in relevant field of study with 8 years of experience
- Expert experience understanding of Kubernetes programming – Python is essential; with experience in Git, Linux, and REST APIs
- Expert experience in Backend Development – API design, database integration, containerization (Docker)
- Fundamental understanding of Math & Statistics – Linear algebra, probability, and/or calculus for ML theory
- Experience with MLOps tooling and workflow orchestration — experiment tracking and model registry (MLflow or equivalent), and pipeline orchestration on Kubernetes (Kubeflow, Argo Workflows, or Airflow)
Nice to have
- Master’s Degree in relevant field of study with 6 years of experience
- Experience serving models for low-latency inference at scale, including LLM serving frameworks (vLLM, TGI, or NVIDIA Triton Inference Server), GPU memory management, and batching/quantization tradeoffs
- Experience with GPU orchestration and scheduling on Kubernetes in shared or multi-tenant clusters — NVIDIA Run:ai, KAI Scheduler, Kueue, Volcano, or Slurm
- Expert experience of Cloud & CI/CD DevOps Pipeline– AWS, Azure, Google Cloud ML services, SageMaker, Vertex AI
What you get
- Robust health plan including medical, dental, and vision
- Health Savings Account with company contribution
- Annual Paid Time Off and Paid Holidays
- Paid Parental Leave
- 401k with generous company match
- Training and Development Opportunities
Worth weighing
- Onsite role may limit flexibility for remote work
- Security clearance requirement may restrict applicant pool
- No specific mention of career advancement opportunities or mentorship programs
Summarised from GRVTY's posting. Read the full original.
Listed by GRVTY on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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