MS/PhD with publications in top-tier ML/CV venues or equivalent industrial experience on long-term projects.
Expertise in machine learning topics like sequential prediction or deep learning optimization.
Strong knowledge of linear algebra, probability theory, and optimization techniques.
Proficient in Python and at least one deep learning framework (e.g., Pytorch, JAX, Tensorflow).
Experienced in a collaborative small-team environment with a focus on problem ownership.
Must be able to obtain and maintain a DOD Security Clearance.
Responsibilities
Design, prototype, and deploy machine learning algorithms in Python related to autonomy.
Develop and implement metrics to measure and enhance vehicle performance.
Act as a technical expert balancing project deliverables with long-term goals.
Collaborate with multidisciplinary experts to enhance system reliability and performance.
Benefits
Equity compensation offered.
Comprehensive healthcare, dental, and vision plans.
Unlimited paid time off (PTO) policy.
401k plan with a company matching contribution.
Parental leave available.
Full Job Description
Role Summary:
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.
Qualifications
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.
Preferred
Knowledgeable in any related technologies such as C++, CUDA, ROS, etc.
Benefits
Overland AI believes in creating a work environment that you look forward to embracing every day.
The salary range for this position is $120K to $300K annually
Equity compensation
Best-in-class healthcare, dental and vision plans.
