Engineer, Computer Vision & Machine Learning (3-months contract)

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
• Skilled with modern DL and python-related frameworks: Pytorch/TFlow, Numpy, Scikit.
• Familiar with respect to DL state of the art, practices and recent research
• Able to iterate on ML models: problem definition, data, model bring-up, debugging, evaluation and deployment
• Excellent communication and proactivity: let’s get things done!

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 ML/Deep Learning engineers to develop and integrate deep learning technologies for 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.
Come and join the team!

DUTIES AND RESPONSIBILITIES

• You will have the opportunity to have huge impact on the deep learning / autonomy stack for our autonomous truck
• Design, develop and update neural networks for perception that run online on our autonomous vehicle
• Work on the evaluation stack to introspect and evaluate and building insights on our results
• Interfacing with the other autonomy consumers and upstream/downstream components, including data, deployment and compute