Edge ML Research Engineer — Transformers & Agentic AI

InvestedintheMission; United States; On-site; USD 220,000 - 292,000; Full time

Benefits offered by this job

Equity grants

Health benefits

Paid time off

Job summary

Anduril Industries is a defense technology company transforming U.S. military capabilities with AI, autonomy, and edge computing.

We seek an AI Engineer for the Frontier AI team to advance transformer-based models and agentic systems on edge devices, enabling robust perception and decision-making in challenging environments. You will work with cross-functional teams, push production ML, and contribute to mission-critical autonomy while receiving competitive compensation and equity.

Qualifications

• BS in Computer Science, Machine Learning, Electrical Engineering, or related field.
• 5+ years of experience developing and benchmarking ML algorithms.
• Experience pushing and maintaining ML algorithms in production.
• Strong Python skills with PyTorch experience.
• Must be a U.S. Person due to access to export controlled information or facilities.

Responsibilities

• Distill and fine-tune transformer architectures for edge devices or compute-denied environments.
• Propose and prototype LLM-based Agentic systems using state-of-the-art techniques.
• Develop and maintain mission-relevant benchmarks.
• Collaborate cross-functionally with different business lines to scope new research problems.

Skills

ML algorithms

Python

PyTorch

Production ML

Defense industry experience

Education

B.S. in Computer Science, ML, Electrical Engineering, or related field

Job description

Anduril Industries is a defense technology company transforming U.S. military capabilities with AI, autonomy, and edge computing.

We seek an AI Engineer for the Frontier AI team to advance transformer-based models and agentic systems on edge devices, enabling robust perception and decision-making in challenging environments. You will work with cross-functional teams, push production ML, and contribute to mission-critical autonomy while receiving competitive compensation and equity.