Job Title: Machine Learning Engineer
Salary: $190,000 - $240,000
Location: San Francisco, CA, (Remote but must live locally)
A Series A startup that is deeply ingrained within the text to image space is hiring a Machine Learning Engineer who has extensive experience in the brand new GenAI and Diffusion Modeling. In this role you will work with very large amounts of data and GPUs in tandem, so an ideal candidate has some Ray experience while handling over 100+ TB of data and over 100 GPUs. This is a rapidly scaling company that provides GenAI tools that are used by multiple Fortune 50 and Fortune 500 companies. This company understands that Diffusion Modeling is new, so they are ideally looking for someone who has done research either for a PhD or otherwise within the Diffusion Modeling space. To be successful in this role you must have some form of professional experience in GANs, Diffusion, and training/developing/tuning models while handling large scale data processing. If you are looking for a highly collaborative space that thrives on new ideas and the ability to wear multiple hats, then this is the role for you!
Requirements
- PhD preferred, but not required
- Deep understanding of Diffusion Models in the Generative space OR Text to Image experience
- Experience working with GPU clusters
- Experience working with large data models
- Experience building and tuning Machine Learning models
Benefits
- Medical, Dental, and Vision Insurance
- 401k
- Paid Time Off
- Equity
- Startup work culture
- Remote or Hybrid flexibility for SF locals
If you are interested in learning more about this position or any other roles we may have open, please apply today!
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