Senior Machine Learning Engineer

On our Perception and Prediction 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. Our team works on the tech stack responsible for perceiving the dynamic scenarios and predicting the future behavior of agents around our robo-taxi. We are looking for engineers who are passionate about Level 5 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. On a daily basis, you will:

• Helps define and influence the direction of the team based on technology and business needs
• Connect and drive project level impact through technology solutions 
• Formulate problems, architect solutions, and design processes
• 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 other team members and grow junior engineers  

What We’re Looking For: 

• 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
• Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
• 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
• 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

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

• While performing the duties of this job, the employee is frequently required to convey and detect communication
• The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment
• The employee may occasionally move up to 50 pounds