Software Engineer, Machine Learning

Overland AI•Seattle, WA

13h•Remote

About The Position

We are looking for machine learning experts to join our team to advance the state of off-road autonomy. Experienced, well-qualified remote candidates able to work during Pacific Time Zone business hours will be considered. In this role, you will: Design, prototype, and deploy machine learning algorithms related to perception, state estimation, and behavior planning (Python). Identify, implement, and respond to meaningful metrics that affect vehicle behavior. Serve as a technical expert for the team balancing short-term deliverables and long-term directions. Collaborate closely with experts across disciplines to work across the entire stack to improve the reliability and performance of the system.

Requirements

MS/PhD with publications in top-tier ML/CV venues (ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV), OR equivalent years of industry experience in an applied research setting working on multi-year problems.
Expert in a relevant ML topic such as sequential prediction, structured prediction, inverse reinforcement learning, transformers, deep learning optimization, etc.
Excellent linear algebra, probability theory, and optimization knowledge.
Extensive experience in Python and a deep learning framework such as Pytorch, JAX, Tensorflow, etc.
You excel in a small-team atmosphere, taking ownership of problems and working with your colleagues to solve problems across disciplines.
Ability to obtain and maintain a DOD Security Clearance.

Nice To Haves

Knowledgeable in any related technologies such as C++, CUDA, ROS, etc.

Responsibilities

Design, prototype, and deploy machine learning algorithms related to perception, state estimation, and behavior planning (Python).
Identify, implement, and respond to meaningful metrics that affect vehicle behavior.
Serve as a technical expert for the team balancing short-term deliverables and long-term directions.
Collaborate closely with experts across disciplines to work across the entire stack to improve the reliability and performance of the system.