Software Engineer, ML Infrastructure Value Driven Solutions Costa Mesa, CA Job Details Full-time $166,000 - $220,000 a year 1 day ago Qualifications AI models Kubernetes Production systems Machine intelligence Model deployment Model training

MLOps Full Job Description Costa Mesa, CA Full Time Manager/Supervisor 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.