Motional

Software Engineer, Machine Learning Tools (MLOps)

Singapore, Singapore

Not SpecifiedCompensation
Entry Level & New Grad, Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Autonomous Vehicles, AI & Machine Learning, Artificial IntelligenceIndustries

Machine Learning Tools (ML Tools) Team Member

Position Overview

The Machine Learning Tools (ML Tools) team is central to our autonomous vehicle development, responsible for creating and managing a sophisticated in-house machine learning ecosystem. Our mission is to build, train, and deploy the models that power our vehicles' intelligence. We collaborate closely with downstream teams to pioneer and implement cutting-edge deep learning solutions for new and challenging on-road machine learning applications. Our team has made significant contributions to the autonomous vehicle industry, including the development of nuPlan, nuScenes, PointPillars, and PointPainting.

Key Responsibilities

  • Assist in the development and maintenance of our automated, distributed pipeline for training, evaluating, and deploying machine learning models.
  • Support the design and development of our scalable ML infrastructure, with opportunities to learn and work with technologies like Kubernetes (K8s) and Ray.
  • Help implement and maintain the metrics infrastructure that allows for model introspection and performance evaluation.
  • Contribute to the deployment of models to our vehicles and learn to assess their performance using key metrics.
  • Collaborate with and learn from our Machine Learning teams to improve tools and processes across the entire ML development lifecycle.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.
  • Solid programming skills in Python.
  • Foundational understanding of deep learning concepts and eagerness to work with frameworks like PyTorch.
  • Familiarity with software engineering principles and best practices.
  • Genuine passion for self-driving technology and a strong desire to learn.

Highly Desired Experience

  • Some exposure to PyTorch.
  • Previous projects or coursework involving the design or training of neural networks.
  • Introductory understanding of distributed computing concepts; any familiarity with K8s or Ray is a plus.

Bonus Points

  • Background in autonomous vehicle development.

Additional Notes

  • No Large Language Model (LLM) experience is required.

Company Information

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We are driven by something more, with a people-first journey. We are not just developing driverless cars; we are creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team comprises engineers, researchers, innovators, dreamers, and doers, creating technology with the potential to transform the way we move.

We believe in creating a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level. Diversity helps us see the world differently and is not only good for business but the right thing to do.

Our team has achieved industry-leading milestones, including the first fully-autonomous cross-country drive in the U.S., the launch of the world's first robotaxi pilot, and operating the world's longest-standing public robotaxi fleet. We are driven to scale and moving towards commercialization, seeking team members ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S. and Asia.

For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram, and YouTube.

Motional AD Inc. is an EOE.

Skills

Python
Machine Learning
Deep Learning
PyTorch
Kubernetes
Ray
Distributed Computing
Neural Networks
Software Engineering

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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