Senior Machine Learning Engineer-Perception

Position Overview

• Location Type: Remote (within the United States)
• Employment Type: Full-time
• Salary: Not specified

This role is part of the Perception Team, focused on developing technology for self-driving vehicles. The team works on the tech stack responsible for perceiving the dynamic scenarios and predicting the future behavior of agents around robo-taxis. The position offers the opportunity to work with world-class ML engineers and research scientists, contributing to a mission of creating positive social impact.

What You’ll Be Doing:

• Drives project-level impact to enhance autonomous vehicle capabilities.
• Defines and influences team direction based on technology and business needs.
• Connects and drives project-level impact through technology solutions.
• Formulates problems, designs solutions, and develops processes.
• Prototyping, evaluating, implementing, and iterating on solutions.
• Familiar with state-of-the-art solutions and systems for autonomous vehicles.
• Productionizes and deploys solutions onto autonomous vehicle fleets.
• Collaborates with other team members and mentors junior engineers.

What We’re Looking For:

• Education: Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics, or a related field; or equivalent industry experience.
• Machine Learning Knowledge: In-depth understanding of common Machine Learning and Deep Learning algorithms.
• Experience: 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
• Problem-Solving: Strong track record of tackling less well-defined problems and executing efficiently to deliver successful outcomes.
• Software Engineering: Advanced knowledge of software engineering principles, including:
  • Software design
  • Source control management
  • Build processes
  • Code reviews
  • Testing methods
• Programming Skills: Fluency in Python, including standard scientific computing libraries and Python bindings development experience.
• Deep Learning Frameworks: Experience with PyTorch or other deep learning frameworks.
• Data Analysis: Experience working with large data sets and deriving insights from data.
• Mentorship: Experience mentoring and collaborating with others.

Bonus Points:

• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, 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.

Working Conditions:

• This opportunity can support remote work within the United States, with occasional travel.

Application Instructions:

• Not specified in the provided text.