[Remote] Principal Machine Learning Engineer - Team Lead - Behaviors (Prediction & ML Planner) at Motional

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, Robotics, Artificial IntelligenceIndustries

Skills

Key technologies and capabilities for this role

Deep Learning FrameworksTensorFlowPyTorchPythonScientific Computing LibrariesSoftware Engineering PrinciplesSoftware DesignSource Control ManagementBuild ProcessesCode ReviewsTesting MethodsAutonomous VehiclesRoboticsReinforcement LearningGenerative AIEmbedded SystemsReal-Time Optimization

Questions & Answers

Common questions about this position

What is the salary for this Principal Machine Learning Engineer role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What skills are required for this role?

Required skills include proven leadership in executing large technical initiatives, extensive experience managing engineers, deep learning frameworks like TensorFlow or PyTorch, fluency in Python, a track record in ML solutions for autonomous vehicles or robotics, and advanced software engineering principles.

What does the team structure look like for this position?

The role involves leading, managing, and growing a team of engineers focused on motion planning and prediction for self-driving vehicles.

What makes a strong candidate for this Team Lead position?

A strong candidate has a Masters or Ph.D. in Computer Science or equivalent, proven leadership and management experience, expertise in ML for autonomous vehicles, and skills in Python and deep learning frameworks; bonus for C++/CUDA, generative AI, reinforcement learning, embedded systems, and relevant publications.

Motional

Develops fully driverless robotaxis for urban transport

About Motional

Motional develops fully driverless vehicles, specifically robotaxis, aimed at transforming urban transportation. Their all-electric robotaxis are designed to navigate complex city environments safely and efficiently. Motional partners with ride-hailing and delivery services, providing them with advanced autonomous vehicle technology to enhance their operations and reduce costs. A unique aspect of Motional's service is its Command Center, which allows for real-time tracking of each robotaxi, enabling human agents to monitor performance and ensure passenger safety. Unlike many competitors, Motional focuses on integrating its vehicles into existing mobility networks, making driverless technology accessible and reliable. The company's goal is to make autonomous vehicles a safe and integral part of urban transportation.

Boston, MassachusettsHeadquarters

2020Year Founded

$5,000MTotal Funding

GROWTH_EQUITY_NON_VCCompany Stage

Robotics & Automation, Automotive & TransportationIndustries

1,001-5,000Employees

Benefits

401K: 401K with up to 7.5% match

time Off: Unlimited sick and vacation days

Transportation: Commuter and fitness benefits

Healthcare: 3 plan options to support diverse needs

IVF: Fertility assistance

Risks

Motional laid off 550 employees, indicating financial and operational challenges.

Aptiv reduced its stake in Motional, impacting operational capabilities.

Delays in autonomous vehicle deployment to 2026 could hinder market entry plans.

Differentiation

Motional offers a state-of-the-art Command Center for real-time robotaxi tracking.

The company focuses on all-electric, driverless robotaxis for urban environments.

Motional partners with ride-hailing services to integrate autonomous vehicles into their operations.

Upsides

Motional raised $475 million from Hyundai, indicating strong financial backing.

Partnerships with Uber and Shake Shack expand Motional's market reach in delivery services.

Increased investment in robotics highlights potential funding opportunities for Motional.

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