Research Engineer, Helm.ai

$150-250k

Python

Tensorflow

C++

PyTorch

Senior and Expert level

Remote from US

AI drive assistance systems, autonomous driving, and robotics

Open for applications

AI drive assistance systems, autonomous driving, and robotics

21-100 employees

B2BArtificial IntelligenceCarsMachine LearningAutomation

Open for applications

$150-250k

Python

Tensorflow

C++

PyTorch

Senior and Expert level

Remote from US

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.

Job

Company

Role

Who you are

We're looking for talented engineers who'd enjoy applying their skills to deeply complex and novel AI problems
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
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

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 underperforming publicly listed companies. But there's still a massive opportunity, especially for long-haul fleets. In 2024, Helm.ai 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.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

46% employee growth in 12 months

Glassdoor (3.1)

Company

Funding (last 2 of 6 rounds)

Aug 2025

$10m

LATE VC

Aug 2023

$55m

SERIES C

Total funding: $145m

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!

Company HQ

Redwood City, CA

Leadership

Vlad Voroninski

(CEO & Founder)

Graduated with a PhD from UCD Berkeley before working as an MIT Postdoctoral Fellow and a Sift Security Chief Scientist for a year. In November 2016, they co-founded Helm.ai, serving as CEO ever since then.

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