Full-Time

Research Engineer

Confirmed live in the last 24 hours

Helm.ai

Helm.ai

51-200 employees

AI training for autonomous driving technology

Automotive & Transportation
AI & Machine Learning

Compensation Overview

$150k - $250kAnnually

+ Equity + Bonus + Commission

Senior

San Carlos, CA, USA

Category
Deep Learning
Computer Vision
AI & Machine Learning
Required Skills
Python
Tensorflow
Neural Networks
Pytorch
C/C++
Computer Vision

You match the following Helm.ai's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Experience working with neural networks, Tensorflow and/or PyTorch
  • Fluency in Python and working knowledge of C/C++ programming
  • 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
Responsibilities
  • 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
Desired Qualifications
  • A sense of practical optimism
  • Comfort operating in a fast-paced environment to deliver customer projects
  • Introspection, thoughtfulness, and detail-orientation

Helm.ai focuses on developing AI technology for autonomous driving, utilizing a method called unsupervised learning. This approach allows the AI to learn from unlabelled data, making it more cost-effective and faster than traditional methods that rely on labeled data. Helm.ai licenses its technology to various industries, primarily targeting autonomous vehicle manufacturers, but also extending to sectors like aviation, robotics, and retail. This strategy positions Helm.ai as a significant player in the growing autonomous vehicle market. The company has recently secured $13 million in funding to enhance its technology and expand its client base, aiming to provide a more efficient way to train AI.

Company Stage

Series C

Total Funding

$131.3M

Headquarters

Menlo Park, California

Founded

2016

Growth & Insights
Headcount

6 month growth

1%

1 year growth

3%

2 year growth

4%
Simplify Jobs

Simplify's Take

What believers are saying

  • Helm.ai raised $55M in August 2023, boosting development and talent recruitment.
  • Partnership with Ambarella expands Helm.ai's market reach in ADAS products.
  • VidGen-2 model offers improved realism, aiding autonomous vehicle development and validation.

What critics are saying

  • Increased competition from companies like Honda developing their own autonomous systems.
  • Generative AI models may face regulatory scrutiny over data privacy concerns.
  • Rapid AI advancements could render Helm.ai's models obsolete without continuous innovation.

What makes Helm.ai unique

  • Helm.ai uses unsupervised learning, reducing the need for large-scale data annotation.
  • Their software is sensor and compute agnostic, appealing to diverse autonomous vehicle developers.
  • Helm.ai's generative AI models enhance video data, enriching autonomous driving datasets.

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Benefits

Health Insurance

401(k) Retirement Plan

401(k) Company Match

Flexible Work Hours