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Machine Learning Research Lead / Architect, sensors, remote - Job Order 3095
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Job Location: Redwood City, CA
JOB DESCRIPTION

Job #: 40535
Title: Machine Learning Research Lead / Architect, sensors, remote - Job Order 3095
Job Location: Redwood City, California - United States
Employment Type:
Salary: $120,000.00 - $150,000.00 - US Dollars - Yearly
Employer Will Recruit From: Nationwide
Relocation Paid?: Negotiable

WHY IS THIS A GREAT OPPORTUNITY?

Ground floor opportunity for a company with a novel approach to auto sensor systems for driverless cars. Their design has many advanages over the systems currently in use.

JOB DESCRIPTION

Research Lead - Job Order 3095

Redwood City, CA or nearby; remote for exceptional candidate
US citizen or permanent resident
Compensation DOE, equity

My client is reimagining sensing for driverless vehicles.

Their team of world-class product designers from Apple, Google, Intel, and Amazon has reframed sensing as a software problem - as opposed to a hardware problem, as it has been treated for over twenty years - and created a universal platform that allows for an exceptionally powerful and scalable full-stack solution.

The company replaces the hardware-centric, fragmented, and unintelligent
sensor stacks in vogue since the early 2000s with an elegant, compact, and inexpensive digital
platform.

A sensing operating system and software-defined concurrent sensors driven by machine
learning at the edge abstract the sensing hardware and make it invisible to autonomy developers.

They enable AV developers to focus on software and data, and leapfrog to scalable
driverless autonomy today.

We are looking for a software engineer to lead the development of our concurrent sensing
algorithms, software-defined sensing architecture, and ML-at-the-edge architecture.


Proficiencies
Perception
Sensor Fusion
Machine Learning and Deep Learning
Digital Signal Processing
Statistical Signal Processing
Estimation Theory
Information Theory

QUALIFICATIONS


PhD in CS/EE/Robotics/Physics
5+ years of industry experience
Product delivery record
Startup experience (plus)

Education:
University - PhD




How to Apply:


 
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