Software Engineer, ML Ops at Motional

Singapore, Singapore

Motional Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Autonomous Driving, AI & Machine Learning, BiotechnologyIndustries

Skills

Key technologies and capabilities for this role

PythonGoAWSCloud PlatformsKubernetesPyTorchRayML OpsML InfrastructureSoftware Engineering PrinciplesCode QualityTestingSystem Reliability

Questions & Answers

Common questions about this position

What are the required skills for the Software Engineer, ML Ops role?

The role requires a BS or MS in Computer Science or related field, strong knowledge of software engineering principles, expertise with Python or Go, experience with AWS services or other cloud platforms, and experience with the various stages of the ML development lifecycle. Strong written and oral communication skills are also needed. Experience with Kubernetes, PyTorch, or Ray is a plus.

What is the salary range for this position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the company culture like at Motional?

Motional emphasizes a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level. The team consists of engineers, researchers, innovators, dreamers, and doers focused on creating safer roadways and equitable transportation with a people-first approach.

What makes a strong candidate for this ML Ops Software Engineer role?

Strong candidates will have a BS or MS in Computer Science, expertise in Python or Go, experience with AWS or cloud platforms, and familiarity with the ML development lifecycle. Experience with Kubernetes and ML frameworks like PyTorch or Ray, along with strong communication skills, will stand out.

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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