Machine Learning Engineer
Mach IndustriesDefense Technology company
Huntington Beach, United StatesSenior
Khosla Ventures
Sequoia Capital
DCVC
Bedrock Capital
Marque Ventures
1517 Fund
Data & AI
About the role
TL;DR
Own and scale ML training, data, and edge-inference for autonomous defense platforms.
- •Mach Industries is developing next-generation autonomous defense platforms and is building an AI-forward autonomy stack for challenging environments.
- •As a Machine Learning Engineer, you will own and scale the training, data, and edge-inference backbone for all vision and multi-sensor models.
- •Key Responsibilities Own and evolve training and data infrastructure (ingestion, curation, labeling, versioning).
- •Scale training/evaluation infrastructure (distributed training, experiment tracking, model registry).
- •Deploy and optimize models for real-time edge inference on embedded hardware.
- •Build and improve models for detection, segmentation, tracking, and multi-sensor fusion.
- •Generate and manage synthetic data at scale.
- •Requirements Strong generalist software engineering (Python, C++ on Linux).
- •Proven experience building ML data and training pipelines end-to-end.
- •Hands-on training and fine-tuning in PyTorch across modern architectures.
- •Edge and real-time deployment experience on embedded GPU hardware.
- •Experience with data and MLOps infrastructure.
Required skills
PythonC++LinuxPyTorchSQLCI/CDGit
Nice-to-have skills
Computer Vision
Domain expertise
defenseaerospace
Benefits & perks
equity, health insurance, retirement plans, professional development
Tech stack
PythonC++LinuxPyTorchSQLCI/CDGit