Applied Machine Learning Engineer

Anduril Industries • Columbia, WA

2d

About The Position

Anduril’s Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. AI Engineers on Anduril’s Frontier AI team build edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy.

Requirements

• 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 with experience in ML frameworks such as PyTorch
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

Nice To Haves

• 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

Responsibilities

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

Benefits

• Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package.
• top-tier benefits for full-time employees
• comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior