Edge ML Engineer - Real-Time Autonomy & Deployment

Mach-Industries; Los Angeles (CA); On-site; USD 120,000 - 220,000; Full time

Job summary

Mach Industries is seeking a Machine Learning Engineer to own and scale the training, data, and edge-inference backbone for its autonomous defense platforms. You’ll build data pipelines, manage synthetic datasets, and push research-grade models to run in real-time on embedded hardware.

You will work across perception, localization, embedded, and flight-test teams to move capabilities from prototype to HITL to flight deployment, ensuring robust, scalable models and rapid iteration.

Qualifications

• Strong generalist software engineering: Python for ML and tooling, plus production C++ on Linux.
• Proven experience building ML data and training pipelines end to end: dataset construction, labeling/QA, augmentation, experiment tracking.
• Hands‑on training and fine‑tuning in PyTorch across modern detection/segmentation/tracking architectures (CNN/Transformer).
• Edge and real-time deployment: model compression (INT8/FP16), runtime optimization (TensorRT/ONNX Runtime), with embedded GPU (Jetson-class).
• Data and MLOps infrastructure: SQL/Parquet, dataset/versioning tools, CI-based validation, scalable multi-GPU training.
• BS/MS/PhD in CS/EE/Robotics or equivalent with track record shipping ML models to production or hardware.

Responsibilities

• Own and evolve the training and data infrastructure for the autonomy team, including data ingest, labeling, and dataset versioning.
• Stand up and scale training/eval infrastructure with multi-GPU training, experiment tracking, and model registry.
• Deploy and optimize real-time edge inference on Jetson-class hardware, targeting low latency and SWaP.
• Build and improve models across the portfolio for detection, segmentation, tracking, and multi-sensor fusion.
• Generate and manage synthetic data at scale to cover long-tail conditions and sim-to-real gaps.
• Instrument runtime health and drift detection, feeding results back to retraining loops.

Skills

Python ML

C++ Linux

PyTorch

Edge deployment

MLOps

CI/CD

Data pipelines

Education

CS/EE/Robotics degree

Tools

TensorRT

ONNX Runtime

DVC

Parquet

CI pipelines

Job description

Mach Industries is seeking a Machine Learning Engineer to own and scale the training, data, and edge-inference backbone for its autonomous defense platforms. You’ll build data pipelines, manage synthetic datasets, and push research-grade models to run in real-time on embedded hardware.

You will work across perception, localization, embedded, and flight-test teams to move capabilities from prototype to HITL to flight deployment, ensuring robust, scalable models and rapid iteration.