Senior ML Engineer, Core Development
Anduril Industries · Costa Mesa, California, United States
Posted 21 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
- 21 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 Senior ML Engineer at Anduril Industries, you will focus on developing and deploying machine learning models to enhance the design cycle of autonomous air vehicles. You will own the surrogate modeling stack, collaborating with engineers to optimize simulation workflows and integrate predictions into existing tools. This role involves working with advanced architectures and creating robust data pipelines to support critical engineering tasks.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- 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
- BS, MS, or PhD in aerospace, thermal, mechanical, or electrical engineering, or in machine learning/AI/data science with a demonstrated engineering foundation
- 3+ years of experience taking ML models from R&D into production using large-scale scientific or engineering datasets
- Working knowledge of modern surrogate architectures (e.g. GNNs, Transolver, DoMINO & GeoTransolver)
- Hands-on experience running physical simulations (CFD, FEA, thermal, etc.) and command of the underlying numerical methods
- Proficiency in Python and MATLAB; experience with PyTorch, TensorFlow, and NVIDIA PhysicsNeMo (Modulus)
- Experience developing on Linux with GPU accelerators and distributed training
Nice to have
- Graduate research focused on AI for scientific simulation
- Experience solving inverse problems (geometry optimization/design under uncertainty)
- Hands-on experience building active learning or adaptive sampling pipelines
- Prior work in aerospace, automotive, turbomachinery, or another simulation-heavy hardware domain
- Familiarity in commercial solvers, meshing tools, and CAD interoperability
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 remote work mentioned; role is onsite in Costa Mesa, CA
- Defense experience not required, but candidates should have a strong engineering foundation in ML
- Salary range provided, but actual offer may vary based on multiple factors
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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