Research Engineer - Autonomous Vehicles

Menlo Park, CA

Posted: 02/07/2020 Industry: Research Job Number: 23758

Job Description

Category : Research
Location/City : CA - Menlo Park
Area Code : 650
Job Type : 1: Full Time
Country/Locale :
Id : 23758


Research Engineer - Autonomous Vehicles
Palo Alto, CA

Our client is an early stage autonomous vehicle startup currently in stealth. Their deep learning approach to self-driving is uniquely data- and capital-efficient, allowing them to get to market quickly. Their team consists of researchers from top schools like Harvard, MIT, Stanford, and Caltech and engineers from companies like Google, Stripe, Quora, and more.

Their software is already available as an SDK, which has been purchased or deployed by 6 of the top 10 car manufacturers in the world. While their technology is being scaled to solve all of the subtasks and corner cases needed for L4 deployment, they market their software for partial autonomy in consumer vehicles. Their goal is to integrate the software you help build into millions of consumer vehicles in the coming years.

Responsibilities

Apply and extend proprietary algorithmic toolkits to perception problems at scale.

Carefully execute deep learning experiments designed to provide new functionality for customers, such as intent modeling or depth perception, or to address relevant corner cases in the system as a whole.

Own the entire model development pipeline: formalizing desired functionality mathematically, developing deep learning-based solutions, and using infrastructure to obtain validation data for measuring performance.

Desired Skills & Background

Graduate degree in mathematics, computer science, or a related field desired, but not required for an otherwise exceptional candidate.

At least two years of industry experience in an applied research role.

A sense of practical optimism. We are looking for candidates that are comfortable operating under uncertainty to get to the desired result at any cost.

Thoughtful, methodical, and careful experimenters. We are looking for candidates who relentlessly seek to understand the models they build at a deeper level than most.

Experience customizing neural networks with Tensorflow or PyTorch.

Fluency in Python.

Experience with numerical algorithms in Matlab, Python, or Julia required.

Perks

Work on one of the most interesting, impactful problems of the decade.

Time Off - 2 weeks of PTO + a paid company shutdown the last week of the year.

Daily Free Dinner.

Gym Stipend.

Yearly company retreat - Partners are welcome to join!

Work from home & flex schedule options.

Subsidized Health Insurance - Out of pocket costs start as low as $16/month.

401k Management - Our employees love using Guideline to manage their investments.

Equipment - any ergonomic equipment you need at no cost.

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