Machine Learning Research Engineer

Anduril Industries

Quick summary

Work type: On-site
Location: Washington, District of Columbia
Salary: $220,000–$292,000 / yr
Posted: today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $220k

This role $256k

$157k most similar roles pay here $306k

This role pays more than 73% of similar roles. Most pay $179,851–$259,212 — the shaded band above. At the midpoint, this role pays about $256k versus about $220k for comparable roles.

Based on 240 similar postings.

Employer

About Anduril Industries

Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.

Anduril Industries currently has 1882 open roles on FindRole.

Listed pay typically runs $146,000–$194,000 across 1696 roles with salary data.

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View all roles at Anduril Industries

At a glance

TL;DR · Machine Learning Research Engineer

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Join Anduril’s Frontier AI team as a Machine Learning Research Engineer, where you will work on integrating advanced AI systems into the Lattice software platform to enhance autonomy and reduce cognitive load for warfighters. Your daily tasks include fine-tuning transformer architectures for edge devices, prototyping agentic systems using large language models, developing mission-relevant benchmarks, and collaborating with various business units to identify new research challenges. Ideal candidates have over five years of experience in ML development and production deployment, proficiency in Python and PyTorch, and a background in defense tech or startups. This role demands expertise in transformer-based model fine-tuning and deploying deep learning models in edge environments.

Skills

Python PyTorch Transformer architectures Edge computing Deep learning CI/CD MLOps

What you'll do

Distill and fine-tune transformer architectures for edge devices.
Propose and prototype LLM-based agentic systems to solve real-world problems.
Develop and maintain mission-relevant benchmarks for AI applications.
Deploy deep-learning models in compute-denied environments effectively.
Work cross-functionally with Anduril’s business lines to identify new research areas.

What we're looking for

5+ years experience developing and benchmarking ML algorithms
Experience fine-tuning transformer-based models for edge devices or air-gapped environments
Strong Python skills with proficiency in PyTorch and other ML frameworks
Prior experience deploying deep-learning models to edge devices or restricted environments
Background in defense tech or start-up environment preferred

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