Autonomous AI Research Engineer

Helm; United States; Remote; USD 150,000 - 250,000; Full time

Benefits offered by this job

Competitive health insurance options

401K plan management

Free lunch and fully-stocked kitchen (

Monthly wellness stipend

Office set up allowance

Company retreats

Job summary

Helm.ai is seeking engineers who will collaborate to improve models and iterate on novel AI directions, sometimes in just days. You will apply and extend the Helm proprietary toolkit for unsupervised learning and perception problems at scale, and maintain tools for DL experiments to enable new customer functionality or address corner cases.

You will work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms. A Master’s or Ph.D.

Qualifications

• Strong background in neural networks and deep learning frameworks.
• Proficiency in Python; working knowledge of C/C++.
• Advanced degree or significant industry experience in AI/CV/AV.
• Experience with unsupervised learning and computer vision projects.

Responsibilities

• Apply and extend Helm toolkit for unsupervised learning and perception problems at scale.
• Develop tools for deep learning experiments to provide new customer functionality or address corner cases in the system.
• Collaborate with software and autonomous vehicle engineers to deploy algorithms on vehicle platforms.

Skills

Neural networks

Python

C/C++

TensorFlow

PyTorch

Unsupervised learning

Computer vision

Autonomous vehicles

Education

Master’s or Ph.D. in a related field

5+ years of experience in related field

Job description

Helm.ai is seeking engineers who will collaborate to improve models and iterate on novel AI directions, sometimes in just days. You will apply and extend the Helm proprietary toolkit for unsupervised learning and perception problems at scale, and maintain tools for DL experiments to enable new customer functionality or address corner cases.

You will work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms. A Master’s or Ph.D.