AI Engineer — Real-World Robotic Autonomy & Equity

Harrison Clarke

San Francisco (CA)

On-site

USD 250,000 - 400,000

Full time

14 days+

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Benefits offered by this job

Equity
Top-of-the-range salary package
Fully covered medical, dental, and vision
Strong PTO
Relocation support

Job summary

Harrison Clarke is seeking an AI Engineer in San Francisco, California, to develop the intelligence layer for fleets of robots. Your work will ensure AI systems operate effectively in real-world environments. You will architect perception, reasoning, and control aspects while training and deploying AI models.

The role demands strong experience in computer vision and real-time systems, offering a competitive salary package inclusive of equity, comprehensive medical benefits, and relocation support. Join a well-funded, fast-paced team dedicated to shaping the future of autonomy.

Qualifications

  • At least two years of experience shipping AI models, ideally in robotics or autonomous systems.
  • Understanding of distributed training and fine-tuning.
  • Experience with reinforcement learning and prototypes in fast-paced environments.

Responsibilities

  • Architect across perception, reasoning, and control for AI systems.
  • Train and evaluate VLA models and build architectures.
  • Deploy real-time inference systems in hardware.

Skills

AI models shipping
Computer vision
Deep learning
Multimodal architectures
Distributed training
Reinforcement learning

Job description

Harrison Clarke is seeking an AI Engineer in San Francisco, California, to develop the intelligence layer for fleets of robots. Your work will ensure AI systems operate effectively in real-world environments. You will architect perception, reasoning, and control aspects while training and deploying AI models.

The role demands strong experience in computer vision and real-time systems, offering a competitive salary package inclusive of equity, comprehensive medical benefits, and relocation support. Join a well-funded, fast-paced team dedicated to shaping the future of autonomy.

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