Software Engineer, ML Infrastructure
VDS Consulting Group · vdsconsultinggroup.com
Costa Mesa
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The job in short
ML infrastructure engineering.
PythonRustAirflowKubernetesMachine learningPyTorchTensorFlow
Details
- Found
- 6 d ago · posted 2026-10-19
- Location as listed
- Costa Mesa, CA
- Role
- Machine Learning / AI Engineer
- Source
- The company’s own careers site
Full description
Type: Direct hire, full-time · Base: $166,000–$220,000 + equity · Clearance: U.S. Person required; Top Secret eligibility desirable
VDS is recruiting an ML infrastructure engineer to build the training and data platform behind autonomous perception systems used across a defense-technology company.
What you'll do
• Build and run training and dataset infrastructure, including multi-sensor data indexing.
• Improve tools and SDKs used by perception engineers.
• Use frontier models for data curation, labeling, synthetic data and search.
• Track training jobs, evaluations and model versions.
• Partner with engineering teams in each business line.
What you bring
• Strong modern Python; some Rust (PyO3) is a plus.
• Distributed training in TensorFlow or PyTorch.
• Kubernetes and workflow orchestration (Flyte, Airflow or Dagster).
Nice to have
• Experiment tracking with Weights & Biases or MLflow.
Senior Machine Learning Engineer, Core Development (Verify)
Type: Direct hire, full-time · Base: [confirm range] + equity · Clearance: [confirm; U.S. Person likely]
VDS is recruiting a senior ML engineer to build core machine-learning capabilities shared across a defense-technology company's autonomy products.
What you'll do
• Develop and ship models used across multiple product lines.
• Build reusable ML components, pipelines and evaluation tools.
• Work with autonomy, perception and platform teams.
What you bring
• [confirm years] years of production ML engineering.
• Python and PyTorch or TensorFlow; experience deploying models at scale.
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