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Figure

Helix AI Engineer, Video Pretraining

Figure · San Jose, CA

Posted about 3 months ago · $200,000 - $400,000

or apply directly on Figure's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Figure's roles stay open a median of 81 days
Reposted
No
Salary listed
Yes
60% of Figure's roles list one
Ghost-job risk at Figure
high
112 stale, 2 reposted of 112 open
Hiring momentum
152 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Figure's own greenhouse board since 2026-08-03. Full hiring picture for Figure.

About this role

The Helix AI Engineer, Video Pretraining role at Figure involves leading the development of large-scale video foundation models that learn from raw video data. Responsibilities include designing pretraining strategies, optimizing model performance, and collaborating with other teams to integrate models into the autonomy stack. The position requires in-office collaboration five days a week in San Jose, CA.

Our read on this posting3.4out of 5
benefits
1/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Figure as an employer.

What you need

  • Experience training large-scale models on video data or other high-dimensional sequential modalities
  • Strong understanding of modern deep learning architectures for video, vision, or multimodal systems
  • Experience with large-scale pretraining, including dataset curation, training dynamics, and scaling laws
  • Proficiency in Python and deep learning frameworks such as PyTorch
  • Experience working with distributed training systems and large GPU clusters
  • Strong experimental rigor and ability to iterate quickly on model design and training strategies

Nice to have

  • Experience working on frontier video models or multimodal foundation models
  • Background in video diffusion, autoregressive video modeling, or world models
  • Experience at leading AI labs such as OpenAI, Google DeepMind, Google, ByteDance, Midjourney, or Adobe
  • Experience with large-scale dataset construction and filtering for video pretraining
  • Familiarity with robotics, embodied AI, or learning from egocentric / first-person video

What you get

  • The US base salary range for this full-time position is between $200,000 - $400,000
  • The total compensation package may also include additional components/benefits depending on the specific role.

Worth weighing

  • Role requires 5 days/week in-office collaboration in San Jose, CA
  • Salary range is broad and may vary based on individual factors
  • Focus on high-impact research may involve ambiguity in project direction

Summarised from Figure's posting. Read the full original.

Listed by Figure on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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