Overview
Remote
146,000 - 225,000
Full Time
No Travel Required
Unable to Provide Sponsorship
Skills
perception
neural network
Deep Learning
Python
PyTorch
Sensors
motion
sensor fusion
Version Control
Fusion
Job Details
Job Qualifications:
- 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
Job Responsibilities:
- 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.