Robot Motion Planning & Prediction - ML Engineer at Abridge

Austin, Texas, United States

Abridge Logo
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

Python
PyTorch
C++
Machine Learning
Behavioral Cloning
Motion Planning
Simulation
ML Engineering

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

Benefits

Medical insurance
Dental Insurance
Vision Insurance
Unlimited Paid Time Off
Equity
Flexible Spending (FSA) & Health Savings (HSA) Accounts
Learning and Development budget
401k Plan
Paid Parental Leave
Flexible working hours
Home Office Budget
Sabbatical Leave

Risks

Rapid expansion may strain Abridge's resources and affect service quality.
Integration challenges with EHR systems could disrupt workflows and data consistency.
Data privacy concerns in AI applications may lead to regulatory scrutiny.

Differentiation

Abridge transforms medical conversations into actionable clinical documentation using AI.
The platform supports over 28 languages and 50+ medical specialties.
Abridge's integration with EMR systems enhances clinician efficiency and patient care.

Upsides

Abridge's partnership with Mayo Clinic expands its reach to over 1 million patients.
The $150 million Series C funding accelerates AI technology development and integration.
Abridge's multilingual capabilities improve communication in diverse patient populations.

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