Anduril is currently hiring for 163 AI-related roles. The majority of these positions, 64%, are focused on agents, with application roles making up another 28%. The company is primarily seeking candidates for Engineering functions, with a smaller number of roles in Research and Product. Anduril's hiring for these AI positions is concentrated in the United States, with additional roles available in Australia and the United Kingdom. Frequent tech tags include agent_orchestration, multi_agent, and model_serving, suggesting a focus on complex AI systems. Over the last 30 days, Anduril has added 39 new AI roles, representing a 26% increase compared to the previous 30-day period.
Anduril currently has 177 active AI-related roles in our index. The most common open titles are: Senior Software Engineer (6), Software Engineer (6), Research Scientist (5), Robotics Engineer, Maritime (3), Senior Manager, Software Engineering (3). Most positions are in Engineering and Research.
Anduril's active AI hiring is concentrated in: agents (64%), application (27%), post-training (5%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Anduril is hiring AI talent in: United States (157 roles), Australia (17 roles), United Kingdom (3 roles).
Job postings at Anduril most frequently reference: agent orchestration, multi agent, model serving, embodied ai, evals.
In the past 30 days, Anduril has posted 54 new AI-related roles. That is a +42% change versus the prior 30 days (38 → 54).
Currently tracking 135 active AI roles, up 19% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $86k–$444k (avg $209k).
| Title | Stage | AI score |
|---|---|---|
| Applied Machine Learning Engineer Anduril Industries is a defense technology company seeking an Applied Machine Learning Engineer to build edge-compatible, generative AI systems into their Lattice software platform. The role involves distilling and fine-tuning transformer architectures for edge deployment, proposing and prototyping LLM-based Agentic systems, developing mission-relevant benchmarks, and collaborating with business lines. Requires BS in CS/ML/EE, 5+ years in ML algorithm development and benchmarking, production ML experience, strong Python and PyTorch skills, and U.S. Person status. Preferred qualifications include experience with fine-tuning transformers and deploying deep learning models to edge/air-gapped environments. | Post-trainAgent | 8 |