Senior Machine Learning Engineer - Behaviors

Motional; Singapore; On-site; USD 80,000 - 150,000; Full time

Job summary

Join a forward-thinking company focused on revolutionizing autonomous driving technology. As part of the Behaviors team, you will collaborate with top ML engineers to develop and deploy cutting-edge ML models that enhance the capabilities of self-driving vehicles. This role offers the chance to work on intellectually challenging projects that directly impact the future of transportation. If you are passionate about machine learning and eager to contribute to a mission-driven team, this opportunity is perfect for you.

Qualifications

• In-depth understanding of ML and DL algorithms.
• Experience with large data sets and deriving insights.

Responsibilities

• Prototype and implement solutions for autonomous vehicles.
• Collaborate with team members to achieve project goals.

Skills

Machine Learning

Deep Learning

Python

Neural Networks

C++

CUDA Programming

Data Analysis

Education

BA, Masters or PhD in Machine Learning

Applied Mathematics

Computer Science

Statistics

Physics

Tools

PyTorch

Scientific Computing Libraries

Job description

On our Behaviors team, you have the opportunity to work with world-class ML engineers and research scientists whose mission is to make self-driving vehicles a reality and to create positive social impact. The Behaviors team develops ML models that learn how different agents navigate complex real-world traffic scenarios. We leverage these models to set the behavior of our self-driving vehicle, and predict the behavior of other agents such as vehicles and vulnerable road users. We are looking for engineers who are passionate about autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You’ll Be Doing:

You drive project-level impact to make our autonomous vehicles operate at superhuman capabilities for comfortable, safe driving. Daily, you will:

• Prototype, evaluate, implement, and iterate on solutions
• Familiar with state of the art solutions and systems for autonomous vehicles
• Productionize and deploy solutions onto autonomous vehicle fleets
• Collaborate with team members to achieve project goals and milestones

What We’re Looking For:

• 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, and/or 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 the successful outcome
• Experience mentoring and collaborating with others

Bonus Points:

• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICLR, etc.)
• PhD in machine learning, computer vision, or robotics vision
• Experience working on autonomous vehicles, or related fields
• Experience in deploying models into real-world environments
• Strong programming skills in C++ and/or CUDA programming