Anduril Industries

Staff Gen AI Research Scientist

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

Posted 28 days ago

or apply directly on Anduril Industries's site. We never take the application ourselves.

Is this posting real?

This role has been open
28 days
Anduril Industries's roles stay open a median of 45 days
Reposted
No
Salary listed
No
1% of Anduril Industries's roles list one
Ghost-job risk at Anduril Industries
high
1390 stale, 67 reposted of 2,263 open
Hiring momentum
3233 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Anduril Industries's own greenhouse board since 2026-08-03. Full hiring picture for Anduril Industries.

About this role

As a Staff Gen AI Research Scientist at Anduril Industries, you will focus on designing, fine-tuning, and deploying generative AI models and agentic systems for military applications. The role involves a mix of applied research and hands-on coding, with responsibilities including optimizing models for edge hardware and collaborating with various engineering teams to enhance autonomous systems. You will also define data collection strategies and build prototypes based on customer feedback.

Our read on this posting2.8out of 5
benefits
1/5
freshness
4/5
career value
5/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Anduril Industries as an employer.

What you need

  • Strong production-level coding skills in Python and deep learning frameworks (like PyTorch or 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

Nice to have

  • Proven track record of 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

What you get

  • Comprehensive, competitive benefits package available at little to no cost to employees
  • Highly competitive equity grants included in the majority of full-time offers

Worth weighing

  • No specific mention of work-life balance or remote work options
  • The role involves significant autonomy but may also come with high expectations and pressure due to the fast-paced environment
  • The job location may change to Long Beach, CA by late 2027, which could impact current candidates in other locations

Summarised from Anduril Industries's posting. Read the full original.

Listed by Anduril Industries on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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