Founding diffusion research engineer

Direct message the job poster from Break point AI

Computer vision is broken, and we’re going to fix it.

While LLMs have raced ahead, computer vision has been left behind. For basic tasks like object detection, the latest foundation models are outperformed by basic models following the same recipe from 10+ years ago: label a bunch of data and hope that your test set looks like your train set. Unsurprisingly, when applied to problems in the real world these models underperform, requiring end users to spend time and money on domain‑specific, hand‑labeled data in order to get acceptable performance.

The core problem? Getting vision models to work well still requires labeled training data, and getting labeled training data is a pain.

Break point makes it possible to create infinite labeled training data for any use case in only a couple of minutes.

The reason this is now possible is simple — diffusion models. In the last couple of years, the problem of text to image has become nearly solved — we can generate any image we want. At Break point, we are training text to labeled image foundation models that can generate any labeled image you want, and adapt to any use case with a handful of images.

We have a world‑class team with PhDs/postdocs from Berkeley, Stanford and Princeton, and experience at most of the major tech companies (Google Brain, Facebook AI, Amazon, etc.). Our founder, Jamie Murdoch, is a Berkeley PhD with 3k citations, who previously co‑founded and sold a financial AI startup. We are well‑funded, and backed by top‑tier seed‑stage VC firms.

You will help us develop our core image generation technology. This entails

• Defining and executing our research agenda, together with the CEO
• Devising and running experiments with new diffusion techniques
• Staying on top of the latest developments in generative image models, and updating our plans accordingly
• Doing whatever else is needed to get our models working better
• Help us hire a world‑class team

• Experience doing research in deep learning
• Strong technical communication skills
• Ability to translate abstract AI ideas into working code
• Pragmatic and user‑centric — we do not care about writing papers, we are delivering real value for customers
• A self‑starter who will do what it takes to get things done as one of the first employees at a venture‑backed startup

• Experience with diffusion models (open source, publications, or just playing around on your own)
• Publications at top AI or CV venues (NeurIPS, CVPR, etc.)

• Help shape the future of our company as one of the first employees
• Work on cutting edge generative image models
• Meaningful equity compensation
• Unlimited PTO/sick days
• Medical/dental/vision coverage
• Well funded from top‑tier investors, with ample runway
• Get to work in person from our San Francisco office at least 3 days a week.

We are happy to sponsor visas, and in the past have done sponsored new O‑1

As and done H‑1B transfers.

Entry level

Full‑time

Engineering and Information Technology

Software Development

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