Principal Engineer, Deep Learning
Description For Principal Engineer, Deep Learning
Outrider is an innovative software company focused on automating distribution yards using electric, self-driving trucks. As a Principal Engineer in Deep Learning, you'll play a crucial role in developing autonomous vehicles for yard/warehouse operations. This isn't a typical autonomous vehicle project; it's tailored for specific settings, hardware, and customers.
You'll be joining a well-funded company with a clear product vision and a highly competent engineering team. Your responsibilities will include designing neural networks for perception, providing technical guidance to the deep learning team, and leading cross-functional efforts. You'll work on cutting-edge technology, designing ML models from scratch and interfacing with various autonomy components.
The ideal candidate will have a strong background in computer science and deep learning, with at least three years of experience in deep learning-oriented teams. You should be proficient in modern DL frameworks like PyTorch and TensorFlow, and familiar with the latest DL practices and research.
Outrider offers a competitive salary package, remote work flexibility, and various benefits including an annual career development stipend and home office setup allowance. You'll have the opportunity to work on groundbreaking technology while contributing to sustainable freight transportation. Join us in our mission to drive the rapid adoption of autonomous, electric vehicles in the logistics industry.
Responsibilities For Principal Engineer, Deep Learning
- Devise solutions and design neural networks for perception that run online on our autonomous vehicle
- Provide technical and theoretical guidance to the deep learning team
- Communicate and distill evaluations and results to the leadership
- Help to design/improve our key deep learning tools: data, evaluation, compute
- Lead cross functional efforts with respect to interfacing with the other autonomy consumers and upstream/downstream components
Requirements For Principal Engineer, Deep Learning
- Bachelor/Master in CS or equivalent
- Three years of engineering experience in deep learning oriented teams
- Mastering modern DL and python-related frameworks: Pytorch/Tensor Flow, Numpy, Scikit
- Familiar with respect to DL state of the art, practices and recent research
- Able to design ML models from scratch: problem definition, data, model bring-up, debugging, evaluation and deployment
- Excellent communication skills for leadership and stakeholders
Benefits For Principal Engineer, Deep Learning
- Competitive Salary Package
- Ownership of projects from day one, highly collaborative teams and a dynamic work environment
- 100% Remote work set up, flexible work schedule (Flex time - off policy)
- Annual career development stipend to support and encourage your career growth
- Allowance for home office set up
- Business traveling in our headquarters in Denver, Colorado (3-4 times/year) to stay connected with the team
