Senior GenAI Research Scientist/Engineer

Stealth Startup • United State
Visa Sponsorship Relocation
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AI Summary

Lead the post-training and adaptation of large-scale generative models to generate images that reflect individual identity and context. Train, adapt, and fine-tune models with controls beyond text input. Conduct applied research on real-world challenges and collaborate with ML/CV teams to productionize research.

Key Highlights
Train, adapt, and fine-tune large-scale generative models
Conduct applied research on real-world challenges
Collaborate with ML/CV teams to productionize research
Key Responsibilities
Train, adapt, and fine-tune large-scale generative models
Rapidly prototype ideas from the latest research or own research
Conduct applied research on real-world challenges
Design and run rigorous evaluations
Collaborate with ML/CV teams to productionize research
Technical Skills Required
PyTorch Transformer architectures Modern neural networks FSDP Low-precision training Model/data parallelism
Benefits & Perks
Health, dental, and vision coverage
Unlimited PTO
Paid parental leave
Relocation support

Job Description


The role:

As a GenAI research Scientist/Engineer, you'll lead the post-training and adaptation of large-scale generative models. But this isn't about replicating what others have done - building yet another large and generic model with massive data. Your focus will be on making these models personal: adapting them to generate images that reflect individual identity and context through techniques like fine-tuning, conditioning, personalization, or novel methods you invent.

What you’ll do:

  • Train, adapt, and fine-tune large-scale generative models with controls beyond text input.
  • Rapidly prototype ideas from the latest research, or your own, across model architecture, personalization, conditioning, and training strategies.
  • Conduct applied research on real-world challenges like content consistency, identity preservation, and contextual alignment.
  • Design and run rigorous evaluations to inform tradeoffs, validate hypotheses, and guide model improvements.
  • Collaborate closely with our ML/CV teams to productionize your research and integrate it into user-facing pipelines.

You may be a strong fit if you:

  • Have trained and fine-tuned large-scale diffusion models for image or video, especially with controls beyond plain text.
  • Are experienced with post-training techniques and have worked across different types of generative model architectures.
  • Know how to evaluate generative models rigorously: from quantitative metrics to subjective quality.
  • Are highly proficient in PyTorch and deeply familiar with transformer architectures and modern neural networks.
  • Have strong experience with large-scale training techniques — including FSDP, low-precision training, and model/data parallelism.
  • Have demonstrated research depth through impactful publications or shipped GenAI systems.
  • Take ownership, care about solving real problems (not just writing papers), and work well with cross-functional teams to bring ideas into production.

Logistics:

  • This role is based in San Jose, where we work in person. We believe the best ideas come from being in the same room.
  • We sponsor visas. We are committed to working through the process together for the right candidates. If you're currently outside the US, we're also committed to helping you relocate to the US throughout this process.
  • We offer generous health, dental, and vision coverage, unlimited PTO, paid parental leave, and relocation support as needed.
  • Don't meet every single qualification? That’s okay — we care more about your trajectory than checking every box. If the role excites you and the mission resonates, we'd love to hear from you.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf.


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