Senior/Principal Machine Learning Engineer - Behaviors at Motional

Singapore, Singapore

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous VehiclesIndustries

Requirements

BA, Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics, or a related field; or equivalent industry experience
In-depth understanding of common Machine Learning and Deep Learning algorithms
Experience designing, training, and analyzing neural networks for at least one of the following applications: Object detection, Semantic/instance segmentation, Visual classification, Motion/gesture recognition, Sensor fusion, Multitask learning, Motion prediction, Multi-object tracking
Advanced knowledge of software engineering principles including: Software design, Source control management, Build processes, Code reviews, Testing methods
Fluency in Python, including standard scientific computing libraries and Python bindings development experience
Experience with PyTorch or other deep learning frameworks
Experience working with large data sets and deriving insights from data
Strong track record of tackling less well-defined problems and executing efficiently to deliver successful outcomes (Senior Engineer additional)
Experience mentoring and collaborating with others (Senior Engineer additional)

Responsibilities

Prototype, evaluate, implement, and iterate on solutions (Senior/Principal)
Familiarize yourself with state-of-the-art solutions and systems for autonomous vehicles (Senior); Pioneer research into state-of-the-art solutions and systems for autonomous vehicles (Principal)
Productionize and deploy solutions onto autonomous vehicle fleets (Senior/Principal)
Collaborate with team members to achieve project goals and milestones (Senior)
Define and influence the direction of the team, organization, and/or department (Principal)
Advise leaders on technology problems and solutions (Principal)
Connect and drive business impact through technology solutions (Principal)
Formulate problems, architect solutions, and design processes (Principal)
Mentor and grow junior and experienced engineers and researchers (Principal)
Help create and reinforce a culture of inclusion, innovation, and excellence (Principal)

Skills

Key technologies and capabilities for this role

Machine LearningDeep LearningML AlgorithmsModel PrototypingModel EvaluationModel ImplementationModel DeploymentProductionizationAutonomous Vehicles

Questions & Answers

Common questions about this position

What is the salary range for this position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What skills are required for this Machine Learning Engineer role?

Required skills include in-depth understanding of ML and deep learning algorithms, experience designing and training neural networks for applications like object detection, motion prediction, or multi-object tracking, fluency in Python, experience with PyTorch or similar frameworks, and advanced software engineering principles.

What is the company culture like for this team?

The Principal Engineer role involves helping create and reinforce a culture of inclusion, innovation, and excellence.

What makes a strong candidate for this Senior/Principal ML Engineer position?

Strong candidates have a relevant degree or equivalent experience, a track record of tackling less well-defined problems efficiently for Senior roles, and for Principal roles, the ability to define team direction, mentor engineers, and drive business impact through technology.

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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