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AI Tech Suite

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Helm.ai

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About

Helm.ai develops AI-first software and simulation solutions for ADAS to Level 4 autonomous driving. We provide comprehensive AI solutions for real-time deployment and offline training and validation, built on our proprietary Deep Teaching™ and generative AI models. Our offerings include production-ready perception software (Helm.ai Vision) for vision-first L3 autonomy without lidar, and real-time neural networks for path planning (Helm.ai Driver). For offline foundation models, we offer GenSim-2 and VidGen-2 for modifying and producing realistic driving data and synthetic videos, and WorldGen-1 for multi-sensor data simulation across the full AV stack. Our Deep Teaching™ method enables adaptable, high-performance foundation models at scale, automatically adapting to new geographies and driving conditions. We partner with global automakers and Tier 1 suppliers on mass market production programs, aiming to launch the world's safest and most advanced L2-L4 autonomous driving systems.

Platform
Web
Task
autonomous driving

Features

• multi-sensor generative ai simulation (worldgen-1)

• vision-only path planning neural network (helm.ai driver)

• vision-first perception software (helm.ai vision)

• generative ai for data modification and synthetic videos

• deep teaching™ (proprietary unsupervised learning)

• offline training and validation ai models

• real-time deployment ai models

• ai-first software for adas to l4 autonomous driving

Job Opportunities

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Helm.ai

Machine Learning Engineer

Helm.ai is an AI-first software and simulation provider for ADAS to Level 4 autonomous driving, offering comprehensive AI solutions for real-time deployment and offline training.

engineeringremoteUS
$150,000 - $250,000
full-time

Benefits:

  • Competitive health insurance options

  • 401K plan management

  • monthly wellness stipend

  • office set up allowance

  • company retreats

Experience Requirements:

  • Proficiency in Python

  • Proven ability to thrive in fast-paced environment

Other Requirements:

  • A sense of practical optimism

  • Ability to communicate complex technical concepts to colleagues and a variety of audience

  • Introspection, thoughtfulness, and detail-orientation

Responsibilities:

  • Characterize neural network quality, failure modes, and edge cases based on research data

  • Maintain awareness of current trends in relevant areas of research and technology

  • Coordinate with researchers and accurately convey status of experiments

  • Manage a large number of concurrent experiments and make accurate time estimates with respect to deadlines

  • Review experimental results and suggest theoretical or process improvements for future iterations

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