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# Software Engineer, ML Infrastructure

- **Company:** Value Driven Solutions
- **Location:** Costa Mesa, CA, United States
- **Experience:** Expert
- **Salary:** $166,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Data Infrastructure, Distributed Computing Environment, Python (Programming Language), Machine Learning, Tensorflow, Workflow Management Systems, Pytorch, Kubernetes, Machine Learning Operations
- **Published:** October 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=42328c59dcfc4594

## About the Role

* [confirm years] years of production ML engineering.
 * Python and PyTorch or TensorFlow; experience deploying models at scale.

## Description

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.