Principal Machine Learning Engineer- Perception

Position Overview

• Location Type: Remote
• Job Type: Full-time
• Salary: Not specified

Description: Join our Perception team and collaborate with world-class ML engineers and research scientists dedicated to making self-driving vehicles a reality and creating a positive social impact. Our team focuses on the technology stack responsible for perceiving dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are seeking engineers who are passionate about Level 4 autonomous driving technology, thrive on intellectual challenges, and are eager for career growth within a fast-paced company.

Requirements

• Education: Master's or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics, or a related field; or equivalent industry experience.
• Leadership Skills: Demonstrated strong leadership skills in executing large, complex technical initiatives.
• Machine Learning Knowledge: In-depth understanding of common Machine Learning and Deep Learning algorithms.
• Perception Experience: Experience in designing, training, and analyzing neural networks for at least one of the following: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception.
• Deep Learning Frameworks: Proficiency with deep learning frameworks such as TensorFlow or PyTorch.
• Programming Skills: Fluency in Python, including standard scientific computing libraries and Python bindings development experience.
• Autonomous Systems Experience: Proven track record of developing and deploying perception systems for autonomous vehicles or robotics.
• Software Engineering: Advanced knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methodologies.
• Communication Skills: Excellent communication and interpersonal skills.

Responsibilities

• Lead the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data.
• Drive business impact through technology solutions.
• Design and implement sensor fusion algorithms to combine data from multiple sensors for a robust and accurate perception system.
• Optimize perception algorithms for real-time performance on embedded hardware.
• Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems.
• Stay current with the latest research and advancements in machine learning and computer vision, and apply them to real-world problems.
• Productionize and deploy solutions onto autonomous vehicle fleets.
• Derive meaningful insights from large datasets from various sources.
• Mentor and guide junior engineers on the team.

Bonus Points

• Experience with embedded systems and real-time optimization, particularly within the autonomous driving industry.
• Experience in launching ML products from ideation to completion.
• Proven track record of publications in relevant conferences (e.g., CVPR, ICML, NeurIPS, ICCV, ICL).
• Experience in deploying models into real-world applications.