AI Chief Engineering Lead

Anduril Industries

Remote

Quick summary

Work type: Remote
Location: Costa Mesa, CA
Salary: $254,000–$336,000 / yr
Posted: today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $220k

This role $295k

$169k most similar roles pay here $354k

This role pays more than 91% of similar roles. Most pay $186,543–$253,687 — the shaded band above. At the midpoint, this role pays about $295k 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.

Most-posted roles

View all roles at Anduril Industries

At a glance

TL;DR · AI Chief Engineering Lead

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The Generative AI Chief Engineering Lead role at Anduril involves driving innovations in autonomous vehicle technology through advanced deep learning and reinforcement learning techniques. This senior-level position requires designing state-of-the-art algorithms to enhance sensor perception, prediction, and decision-making for autonomous systems, integrating research prototypes into robust production-ready systems, and conducting rigorous quantitative evaluations of performance. The ideal candidate will have a strong background in large language models (LLMs), reinforcement learning, and deep learning, with experience in Python programming and distributed system training pipelines. This role focuses on enhancing the effectiveness of autonomous missions by reducing human oversight through real-time monitoring and multi-modal interaction patterns, addressing critical challenges in autonomous robotics at scale.

Skills

Python C++ Reinforcement Learning Deep Learning LLMs Distributed Systems Simulation Environments CI/CD Autonomous Vehicles Robotics Generative AI Diffusion Models Autoregressive Generative Models

What you'll do

Design and implement novel agent-based software systems for autonomous vehicles.
Apply advanced reinforcement learning strategies to enhance autonomous system capabilities.
Integrate research prototypes into robust, production-ready systems across various platforms.
Conduct rigorous quantitative evaluations of AI models using real-world data.
Utilize scalable training pipelines on distributed systems to improve model performance.

What we're looking for

Extensive experience with reinforcement learning and its application to autonomous systems.
Solid background in developing and shipping end-to-end software products.
Expertise in large language models (LLMs) and their practical applications.
Degree in Computer Science, Robotics, Machine Learning, or a related field.
Top Secret security clearance required for the position.
Experience with deep learning research, especially in generative AI techniques.

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