Research Engineer, Helm.ai
$150-250k
Artificial intelligence platform for automation
Open for applications
Artificial intelligence platform for automation
21-100 employees
Open for applications
$150-250k
21-100 employees
Company mission
To accelerate the adoption of autonomous driving technology to create a more efficient, safer, and more enjoyable travel experience for all.
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
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 company has recently closed a Series C funding round led by Freeman Group. This is being used to hire additional talent and to advance the company's R&D efforts. While the autonomous vehicle sector faces problems with regulatory issues and poor performance among publicly listed AV companies, there is still huge demand for fleets operating in less populated areas, for instance long haul freight. Helm.ai is well positioned to provide the support they will need to bring their products to market.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Aug 2023
$55m
SERIES C
Dec 2022
$31m
SERIES C
Total funding: $135m
Company benefits
- 401k plan
- Vision and dental insurance
- Health insurance
- Free Life and Short Term Disability Insurance
- 8 weeks of fully paid parental leave
- Monthly gym membership stipend
- Custom workstation set up
- Free in-office dinner
- Yearly company retreats
- Quarterly company-wide events
- Flexible working hours
- Work from home opportunities
Company HQ
Menlo Park, CA
Articles
Leadership
Vlad Voroninski
(CEO)They took a Ph.D. at 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.
Tudor Achim
(CTO)Having studied for a Computer Science Ph.D. at Stanford after 3 years as a Quora Software Engineer, on graduation, they co-founded Helm.ai as CTO in November 2016.
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