Engineer, Computer Vision & Machine Learning (3-month Contract)

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

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!

Compensation & Benefits

• 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