Principal Engineer, Deep Learning

at  Outrider

THE COMPANY

Outrider is a software company that is automating distribution yards with electric, self-driving trucks. Our system eliminates manual tasks that are hazardous and repetitive while it improves safety and efficiency. Outrider’s mission is to drive the rapid adoption of sustainable freight transportation. We are a private company founded in 2018 and backed by NEA, 8VC, Koch Disruptive Technologies, and other top-tier investors. Our customers are Fortune 200 companies and our autonomous trucks are already running in distribution yards. For more information, visit www.outrider.ai

REQUIRED QUALIFICATIONS

• 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

THE ROLE

Outrider is an ambitious company that aims to solve autonomous vehicles for yard/warehouse operation. We are building a special electric truck that can achieve complex maneuvers in huge warehouses, among traffic, people and other complicated settings. This is not your generic autonomous vehicle product: we have a specific setting, specific hardware and specific customers.
We have great financial backing, a clear product in mind and a highly competent engineering team. Now, we want to expand on critical hires.
We are looking for a Principal ML/Deep Learning Engineer that is able to steer and execute the technical strategy for our deep learning stack in our autonomous vehicle. You will work with a great engineering team that is highly motivated to make this a reality and a leadership that is laser focused on a product.

DUTIES AND RESPONSIBILITIES

• 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