Research Engineer, Machine Learning

🇺🇸 Seattle, Washington
$2K - $3K Annual
Posted 5 months ago
Expires June 9, 2026
Full TimeOn-siteEngineeringData Science

Anduril Industries is seeking a Research Engineer specializing in Machine Learning to join their Frontier AI team. This role focuses on integrating advanced AI systems into the Lattice software platform, enhancing autonomy and reducing cognitive load for military personnel. The position is based in Seattle, Washington, and involves developing cutting-edge technology to support defense operations.

The successful candidate will be responsible for distilling and fine-tuning transformer architectures for deployment on edge devices and in compute-constrained environments. Additionally, they will propose and prototype large language model-based agentic systems to address real-world challenges, leveraging state-of-the-art techniques. The role also includes developing and maintaining mission-relevant benchmarks and collaborating across various business lines to identify and scope new research problems.

Applicants must possess a Bachelor's degree in Computer Science, Machine Learning, Electrical Engineering, or a related field, along with a minimum of five years of experience in developing and benchmarking machine learning algorithms. Proficiency in Python and experience with machine learning frameworks such as PyTorch are essential. Candidates must be eligible to obtain and maintain an active U.S. Secret security clearance.

Preferred qualifications include experience in fine-tuning transformer-based models, deploying deep-learning models to edge devices or air-gapped environments, and prior experience in defense technology or startup environments.

The salary range for this position is between $220,000 and $292,000 USD annually. Anduril offers comprehensive benefits, including medical, dental, and vision plans at little to no cost, life and disability insurance, generous time off with a holiday hiatus in December, family planning and parenting support, mental health resources, professional development reimbursement, commuter benefits, and relocation assistance. Retirement savings plans are also available, with options varying by region.

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