Senior Machine Learning Engineer - Behaviors

Position Overview

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

This role offers the opportunity to contribute to the development of self-driving vehicle technology with a focus on machine learning. The position involves training, evaluating, and deploying ML models for scene understanding, behavior prediction, and planning, working alongside experienced ML engineers and research scientists. The company is committed to creating positive social impact through its autonomous driving initiatives.

Requirements

• Machine Learning & Deep Learning Expertise: In-depth understanding of common Machine Learning and Deep Learning algorithms.
• Neural Network Design & Training: Experience designing, training, and analyzing neural networks for applications such as motion planning, object detection, sensor fusion, motion prediction, and multi-object tracking.
• Problem Solving: Strong track record of tackling less well-defined problems and efficiently delivering successful outcomes.
• Software Engineering: Advanced knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methods.
• Framework Proficiency: Experience with PyTorch or other Python-based deep learning frameworks.
• Data Handling: Experience working with large datasets and deriving insights from data.
• Collaboration: Experience mentoring and collaborating with others.

Responsibilities

• Model Training & Evaluation: Directly responsible for training, evaluating, and deploying ML-based scene understanding, behavior prediction, and planning models.
• Experiment Design: Designing and executing high-value experiments based on collaborative input from other machine learning engineers.
• Metric Development: Prototyping and implementing continuously improving metrics to evaluate model performance across various scenarios and robotaxi capabilities.
• Model Deployment: Timely release of major model updates, including analysis of off-line and on-road evaluation data.
• Research & Innovation: Staying up-to-date with industry trends and proposing new architectures and network designs based on published literature.
• Code Maintenance: Maintaining a high-quality training and evaluation code-base, including portions of the training stack dedicated to dataset generation and evaluation.

Education

• Degree: Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics, or a related field; or equivalent industry experience.
• Bonus: PhD in machine learning, computer vision, or robotics vision.

Bonus Points

• Publications: Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.).
• Autonomous Vehicle Experience: Experience working on autonomous vehicles or related fields.
• Real-World Deployment: Experience in deploying models into real-world environments.
• Programming Skills: Strong programming skills in C++ and/or CUDA programming.

Application Instructions

• Not specified in the provided text.

Company Information

• The company is focused on developing self-driving vehicle technology and creating positive social impact.
• The opportunity supports remote work within the United States, with occasional travel.