Machine Learning Engineer (Computer Vision)

About NEX NEX is a media-technology company building the fullstack generative AI solution for media companies. Our mission is to expand the creative output of humanity through the clever application of technology. At NEX we're training some of the most powerful media foundation models in the world and serving them to our customers via highly interactive applications.
About the Role We're looking for a Computer Vision Engineer to join our AI team and help us build the future of creative tooling. Our ideal candidate has detailed knowledge of deep learning for computer vision, including knowledge of deep learning infrastructure and efficient computing.
Responsibilities Responsibilities for this role include the filtering & processing of TB-PB scale datasets; experimenting with new & novel diffusion architectures; and supporting the AI team in the training of our next-generation foundation models.
Skills You'd be a good fit for this role if you have deep experience with PyTorch and CUDA for developing computer vision algorithms and distributed training of AI models.
Logistics Annual Total Compensation: for this role is $150,000 - $400,000.
In-Person Policy: At NEX we are strong believers that small teams work better in-person.
US Visa Sponsorship: We are happy to sponsor travel visas for applicants outside of the US and transfer visas from other companies. However, we aren't able to sponsor visas for everyone due to bureaucratic process. But if we make you an offer, we will work hard to get you into the United States.
Benefits: As part of our In-Person policy we have numerous benefits for employees including:
Medical insurance coverageStipends for books & education, desk equipment, and wellnessGPU support for side-projectsDaily in-office dinners and snacksRelocation support for employees moving to Redwood CityEquity: We believe that equity compensation provides strong incentives for our team and are generous with early-stage equity grants. We also grant additional equity to exceptionally strong performers over the course of a career.
Come join us!

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