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Software Engineer, ML Infrastructure

Vdsconsultinggroup · Costa Mesa, CA

Strong hiring record · median 15 days open

100100

Hiring signal

Actively hiring

Still listed on the employer's own board · How we score

All reasons

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  • Still listed on the employer's own board

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Software Engineer, ML Infrastructure at Vdsconsultinggroup. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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.

Skills

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