Research Engineer, Helm.ai

$150-250k

Python
Tensorflow
C++
C
PyTorch
Senior and Expert level
San Francisco Bay Area

Office located in Redwood City, CA

Helm.ai

AI software for drive assistance systems, autonomous driving, and robotics

Open for applications

Helm.ai

AI software for drive assistance systems, autonomous driving, and robotics

21-100 employees

B2BArtificial IntelligenceCarsMachine LearningAutomation

Open for applications

$150-250k

Python
Tensorflow
C++
C
PyTorch
Senior and Expert level
San Francisco Bay Area

Office located in Redwood City, CA

21-100 employees

B2BArtificial IntelligenceCarsMachine LearningAutomation

Company mission

To prove cutting-edge AI software that empowers automakers and Tier 1 suppliers to launch the world's safest and most advanced L2 through L4 autonomous driving systems at scale.

Role

Who you are

  • A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
  • Comfort operating in a fast-paced environment to deliver customer projects
  • Introspection, thoughtfulness, and detail-orientation
  • Experience working with neural networks, Tensorflow and/or PyTorch
  • Fluency in Python and working knowledge of C/C++ programing
  • A strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industry
  • Master’s or Ph.D. in a related field and/or 5+ years of experience in a related field

What the job involves

  • You will work collaboratively to improve our models and iterate on novel research directions, sometimes in just days
  • We're looking for talented engineers who'd enjoy applying their skills to deeply complex and novel AI problems
  • Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale
  • Carefully execute development and maintenance of tools used for deep learning experiments designed to provide new functionality for customers or address relevant corner cases in the system as a whole
  • Work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms

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Insights

Top investors

46% employee growth in 12 months

Company

Company benefits

  • Comprehensive health, dental, and vision insurance for you and your dependents, with up to 100% of premiums paid by the company for employees
  • Monthly wellness stipends
  • 401(k) plan management
  • Free lunch and fully-stocked kitchen in our Redwood City office
  • Office setup allowance
  • Company retreats
  • … and more to come as we scale!

Funding (last 2 of 5 rounds)

Aug 2023

$55m

SERIES C

Dec 2022

$31m

SERIES C

Total funding: $135m

Our take

Automakers are in a race to produce the best self-driving vehicle systems to future-proof their businesses, and the key focus depends on the development of hardware such as radar and video sensors. Whilst these produce essential data required for autonomous vehicles to assess their surroundings, the industry lacks a software framework for the analysis of this data to improve self-driving capabilities.

Helm.ai develops software that aims to understand sensor data in the same way that humans can assess information whilst driving a car manually. Uniquely, this software uses machine learning to train neural networks without the need for on-road testing and manual data analysis, in an attempt to increase the rate of self-driving vehicle development and reduce the costs required to do so.

The autonomous vehicle sector has had its fair share of bumps, from regulatory challenges to underperformance in publicly listed companies. But there's still a massive opportunity in less populated areas, especially for long-haul right fleets. 2024 was a busy year for Heal. ai as it introduced a range of products designed to meet these specific needs. And with its cutting-edge technology and expertise, it's perfectly positioned to bring autonomous vehicles to market and support the future of transportation in these growing markets.

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Freddie

Company Specialist at Welcome to the Jungle