Principal Engineer, Deep Learning at Outrider - Denver, United States - Serendeputy LLC

Description

Outrider

Autonomous yard operations have set a new standard. Yard automation transforms yard operations into an efficient, safe, and sustainable solution.

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The companyOutrider 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
The roleOutrider 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
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
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

At Outrider, we believe in cultivating an environment where there is diversity of perspectives, experiences, and knowledge with the expectation that we thrive in an inclusive environment.

Outrider is committed to a workforce where everyone's opportunities are limitless regardless of race, national origin, gender, age, religion, disability, veteran status, or any others that are protected by law.

To protect yourself against the increasingnumber of recruiting scams, please make sure that you are communicating with Outrider Technologies, Inc.

or one of its employees.

The only way to communicate with us is through our corporate website , through corporate emails utilizing our domain name of , and through our job board .Be vigilant when checking domains because imitators often make very small changes to trick the eye.

Additionally, please know thatOutrider does not usetext messaging or public messaging platforms, such as Telegram or Whatsapp, to communicate with candidates and Outrider will never ask an employment candidate for financial information or for payment of any kind.

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