Staff Gen AI Research Scientist

Anduril-1; Washington (District of Columbia); On-site; USD 220,000 - 292,000; Full time

Job summary

Anduril Industries seeks an AI Research Scientist to join as a founding ML expert on our Air Dominance & Strike team. You will design, fine-tune, and deploy next-generation generative AI, LLMs, and agentic systems powering our aerial and multi-domain platforms.

This highly applied role blends research with hands-on coding (roughly 60/40). You’ll optimize models for edge hardware, shape data collection across sites and simulations, and influence how multi-agent autonomy is deployed in critical

Qualifications

• Strong production-level coding in Python and DL frameworks (PyTorch or JAX).
• Experience training, fine-tuning, and evaluating LLMs, Generative AI, or multimodal models.
• 2+ years in a technical field focusing on generative models and transformers.
• Experience with model training, alignment, and orchestration tools (Axolotl, Hugging Face, DeepSpeed, Megatron-LM, LangChain, or LlamaIndex).
• Degree (B.S., M.S., or Ph.D.) in CS, ML, Robotics, Physics, Maths, or related field.
• Eligible to obtain and maintain an active U.S. Top Secret security clearance.

Responsibilities

• Develop, pre-train, and fine-tune in-house LLMs and multimodal models.
• Architect and optimize models for edge compute and power-constrained hardware.
• Design robust agentic architectures and multi-agent planning loops for complex missions.
• Collaborate with CV, perception, and motion planning teams across modalities.
• Define data collection strategies across assets and simulations; build scalable eval frameworks.
• Build prototypes with customers and scale them to production features across systems.

Skills

Python

Deep learning

LLM training

Education

Bachelor's/Master's/PhD in CS/ML/Robotics/Math

Tools

PyTorch

JAX

Hugging Face

DeepSpeed

Megatron-LM

LangChain

LlamaIndex

Axolotl

Job description

Costa Mesa, California, United States; Seattle, Washington, United States; Washington, District of Columbia, United States

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE TEAM

The Air Dominance & Strike team at Anduril develops aerial and multi-domain robotic systems. The teamis responsible fortaking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product. The team also develops Lattice for Mission Autonomy, Anduril’s premier software platform that enables masses of Fury, Barracuda, and other first andthird partyrobots to collaborate across various missions. We work in close coordination with specialist teams like Perception, Motion Planning, Hardware, and Test Engineering to solve some of the hardest problems facing our customers. We are looking forAI research scientists,Appliedscientistsand roboticists excited about creating a powerful autonomy software stack that includes computer vision, motion planning, SLAM, controls, estimation, and secure communications.

ABOUT THE JOB

We are seeking an AI Research Scientist to serve as a founding ML expert on our team. In this role, you will design, fine-tune, and deploy the next generation of generative AI, LLMs, and agentic systems that power our air-dominance platforms and collaborative autonomous behaviors.

This isa highly appliedresearch role (splitroughly60%applied research/experimentation and40% hands-on coding) focused on makingstate-of-the-artLLMmodels smaller, faster, and smarter. You will work on both offboard systems (for complex mission planning, modeling, and simulation) and onboard systems—optimizingmodels to run directly on power- and compute-constrained edge hardware. As an early member of this initiative, you will have significant autonomy to set the technical direction, design our data collection strategy across test sites and simulations, and directly influence how multi-agent autonomy is deployed in critical missions.

WHAT YOU’LL DO

• Develop, pre-train, and fine-tune in-house LLMs and multimodal foundation models. Apply SOTA post-training alignment techniques (SFT, RLHF, DPO) to maximize capability while minimizing cost and footprint.
• Architect and optimize models to run directly on tactical edge compute and power-constrained hardware onboard physical assets. Optimize model latency, memory usage, and execution speed through quantization, distillation, and pruning.
• Design and implement robust agentic architectures, multi-agent coordination frameworks, and planning loops for complex, multi-domain military missions.
• Collaborate closely with computer vision, perception, and motion planning teams to build systems capable of reasoning over diverse modalities, including camera feeds, radar, telemetry, and text-based operational orders.
• Define and execute data collection strategies across physical assets, test sites, and virtual simulations. Work with AI Infrastructure engineers to build scalable evaluation frameworks that measure model performance, reliability, and safety in high-stakes environments.
• Build early-stage prototypes alongside customers, quickly iterate on feedback, and scale those prototypes into production-grade features deployed across our family of systems.

REQUIRED QUALIFICATIONS

• Strong production-level coding skills in Python and deep learning frameworks (likePyTorchor JAX).
• Hands-on experience training, fine-tuning, and evaluating LLMs, Generative AI, or multimodal models.
• A strong background in a classical technical discipline (Computer Vision, NLP, Robotics, or Speech) with 2+ years of dedicated experience focusing on generative models and modern transformer architectures.
• Experience using modern model training, alignment, and orchestration tools (e.g., Axolotl, Hugging Face, DeepSpeed, Megatron-LM, LangChain, or LlamaIndex).
• Ability to operate comfortably in a fast-paced environment, moving from ambiguous mission requirements to concrete code and functional prototypes.
• Degree (B.S., M.S., or Ph.D.) in Computer Science, Machine Learning, Robotics, Physics, Mathematics, or a related technical field.
• Eligible to obtain and maintain an active U.S. Top Secret security clearance.

PREFERRED QUALIFICATIONS

• Proventrack recordof compiling and running deep learning models on edge accelerators (e.g., NVIDIA Jetson, custom TPUs/ASICs) under severe power and compute constraints.
• Hands-on experience implementing Reinforcement Learning from Human/AI Feedback (RLHF/RLAIF) or direct preference optimization (DPO) loops.
• Experience working with multimodal architectures (VLM, video-to-text, or sensor fusion) and diffusion models.
• Experience building and shipping AI-powered products used by millions of users, with a deep understanding of the end-to-end lifecycle from research prototype to production deployment.
• Track record of successfully applying AI/ML technologies to novel problems and domains where established approaches do not yet exist, demonstrating creativity and first-principles thinking.
• Proven ability to rapidly learn new technologies and stay current with the fast-evolving AI landscape—regularly engaging with the latest research, tools, and techniques through publications, conferences, and the open-source community.

US Salary Range

$220,000 - $292,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits .