Applied Machine Learning Engineer

Anduril Anduril · Defense · Costa Mesa, CA +2 · Software : Software Platform : Frontier AI

Anduril Industries is a defense technology company seeking an Applied Machine Learning Engineer to build edge-compatible, generative AI systems into their Lattice software platform. The role involves distilling and fine-tuning transformer architectures for edge deployment, proposing and prototyping LLM-based Agentic systems, developing mission-relevant benchmarks, and collaborating with business lines. Requires BS in CS/ML/EE, 5+ years in ML algorithm development and benchmarking, production ML experience, strong Python and PyTorch skills, and U.S. Person status. Preferred qualifications include experience with fine-tuning transformers and deploying deep learning models to edge/air-gapped environments.

What you'd actually do

  1. Distill and fine-tune transformer architectures so they can be deployed onto edge devices or compute denied environments
  2. Propose and prototype LLM-based Agentic systems that help solve real world problems, leveraging the latest state-of-the-art techniques in the field
  3. Develop and maintain mission relevant benchmarks
  4. Work cross-functionally with different business lines across Anduril to help discover and scope new research problems

Skills

Required

  • BS in Computer Science, Machine Learning, Electrical Engineering, or related field
  • 5+ years experience developing and benchmarking ML algorithms
  • Experience pushing and maintaining ML algorithms in production
  • Strong Python skills
  • Experience with ML frameworks such as PyTorch
  • U.S. Person status

Nice to have

  • Experience fine-tuning transformer-based model
  • Experience deploying deep-learning based models to edge devices or air gapped environments
  • Prior experience in defense tech or start-up

What the JD emphasized

  • Must be a U.S. Person due to required access to U.S. export controlled information or facilities
  • 5+ years experience developing and benchmarking ML algorithms
  • Experience pushing and maintaining ML algorithms in production

Other signals

  • deploying generative AI systems
  • edge-compatible AI
  • LLM-based Agentic systems
  • automating mission planning
  • voice-control of assets
  • higher-levels of autonomy