Applied Machine Learning Engineer
Slope
- Washington, Utah, United States
- Washington, Utah, United States
About
ABOUT THE TEAM 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.
WHAT YOU'LL DO
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
REQUIRED QUALIFICATIONS
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
PREFERRED QUALIFICATIONS
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
US Salary Range: $220,000 — $292,000 USD
Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
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Languages
- English
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