Robot Motion Planning & Prediction - ML Engineer at Abridge

Austin, Texas, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Driving, RoboticsIndustries

Requirements

3+ years of ML engineering experience or a PhD in a related field
Strong Python skills and experience with PyTorch
Knowledge of modern C++ and a solid understanding of high-performance code design
Solid understanding of machine learning fundamentals and ability to design, train, and evaluate ML models end-to-end — including data preparation, training pipelines, and validation
Authorized to work in the U.S. (no relocation sponsorship or remote work options)

Responsibilities

Develop closed-loop behavioral models of agents using behavioral cloning and related learning techniques
Build a simulation framework that uses these models to generate realistic multi-agent interactions
Design, train, and evaluate ML-based motion planner that operate safely and efficiently in real-time environments
Define evaluation metrics and run large-scale experiments in both simulation and live-ride testing
Collaborate with planning, simulation, and perception teams to integrate your models into the full autonomy stack

Skills

Key technologies and capabilities for this role

PythonPyTorchC++Machine LearningBehavioral CloningMotion PlanningSimulationML Engineering

Questions & Answers

Common questions about this position

What experience is required for this ML Engineer role?

Candidates need 3+ years of ML engineering experience or a PhD in a related field, strong Python skills and experience with PyTorch, knowledge of modern C++ with high-performance code design, and a solid understanding of machine learning fundamentals including end-to-end model design, training, and evaluation.

Is remote work available for this position?

No, remote work options are not available.

What is the company culture like at Avride?

Avride features a compact team of highly talented engineers with extensive expertise in a startup atmosphere, where joining means diving in and making a significant impact on company results and the autonomous industry.

What are the nice-to-have qualifications for this role?

Nice-to-haves include a PhD in Computer Science, Machine Learning, Robotics, or a related field, experience in ML-based motion planning or related robotics problems, and experience with robotics simulation tools or custom data-driven simulators.

What work authorization is required, and is relocation offered?

Candidates must be authorized to work in the U.S., and the employer is not offering relocation sponsorship.

Abridge

AI platform for clinical documentation automation

About Abridge

Abridge provides a platform that changes how medical conversations are documented in healthcare settings. Its main product allows healthcare providers to record patient visits, which are then transformed into organized clinical documents. This helps doctors and other healthcare professionals save time on paperwork, allowing them to concentrate more on caring for their patients. Abridge stands out from its competitors by focusing specifically on the needs of healthcare providers, payers, and pharmaceutical companies, offering a solution that improves both documentation efficiency and patient outcomes. The goal of Abridge is to enhance the quality of patient care while making the documentation process easier for healthcare professionals.

Pittsburgh, PennsylvaniaHeadquarters

2018Year Founded

$201.8MTotal Funding

SERIES_CCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees