Overland AI
Software Engineer - Machine Learning (All Levels)
$150K–$300K
Seattle, WA · On-site · Full-time · Posted Mar 17, 2026
- Experience
- MS/PhD with publications in top-tier ML/CV venues, or equivalent years of industry experience in an applied research setting working on multi-year problems.
- Education
- MS/PhD, or equivalent years of industry experience in an applied research setting working on multi-year problems.
About the job
Develop and deploy machine learning for autonomous ground-vehicle perception, state estimation, and behavior planning in off-road environments.
What you'll do
- Design, prototype, and deploy machine-learning algorithms for perception, state estimation, and behavior planning.
- Identify, implement, and respond to metrics that affect vehicle behavior.
- Collaborate across disciplines to improve system reliability and performance, while balancing short-term deliverables and long-term technical direction.
What they ask for
- Expertise in a relevant machine-learning topic, such as sequential prediction, structured prediction, inverse reinforcement learning, transformers, or deep-learning optimization.
- Excellent knowledge of linear algebra, probability theory, and optimization.
- Extensive experience in Python and a deep-learning framework such as Pytorch, JAX, or Tensorflow.
- Ability to take ownership and collaborate across disciplines in a small-team environment.
Nice to have
- Publications in top-tier ML/CV venues (ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV).
Pay
$150,000 - $300,000 annually (base salary)
Tools
Python, Pytorch, JAX, Tensorflow
AI focus
Machine learning for autonomous ground-vehicle perception, state estimation, and behavior planning.
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