Applied Machine Learning Engineer

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.

The Applied Machine Learning Engineer role is part of Anduril's Frontier AI team, which builds edge-compatible, generative AI systems into the Lattice software platform.

Responsibilities

As an Applied Machine Learning Engineer, you will:

• Distill and fine-tune transformer architectures for deployment 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.

Requirements

• BS in Computer Science, Machine Learning, Electrical Engineering, or a related field.
• 5+ years of 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 models.
• Experience deploying deep-learning-based models to edge devices or air-gapped environments.
• Prior experience in defense tech or start-ups.

Benefits

Anduril offers a comprehensive, competitive benefits package, including top-tier benefits for full-time employees.

Salary Range

The salary range for this role is $220,000-$292,000 USD per year.