Playground
ML Performance Engineer
Playground, San Francisco, California, United States, 94199
[Full Time] ML Performance Engineer at Playground (United States)ML Performance Engineer
Playground United StatesDate Posted: 09 Jan, 2024Work Location: San Francisco, United StatesSalary Offered: $175000 — $250000 yearlyJob Type: Full TimeExperience Required: 3+ yearsRemote Work: YesStock Options: YesVacancies: 1 availableAt Playground, we combine AI research and product design to invent new kinds of creative tools.Note: We are only accepting candidates from the U.S. or Canada at this timeOver the next 10 years, we plan to create a powerful AI render pipeline that allows us to edit, create, and understand pixels to accomplish challenging tasks ranging from instructing an AI to make subtle changes to images, creating entire 3D environments, and understanding context of a scene in a video. We plan to start by accomplishing difficult tasks with images first.Our mission is to awaken the imagination within each of us.If you join us, you’ll be an early team member in helping shape:Our future company cultureOur engineering practicesPeople that we hireThe direction & focus of our productsWe need help optimizing training runs to squeeze out the most GPU compute per dollar as well as speeding up inference for our models to keep costs low while providing users a fast experience in the product.Engineers on the team today:Work primarily in Python and PyTorchWrite code based on the latest research to learn and exploreA perseverance to experiment but understand not everything they accomplish will be used in our productsAre supportive—especially when teammates are faced with new challengesAre left to autonomously figure out the solutions to their challengesValue clear, frequent communication (we do a lot of reading & writing)Are naturally curious and willing to take a step to learn something they don’t have experience inFeel a great sense of accountability to each otherUphold best practices in engineering, security, and designYou might be the wrong fit if…Publishing papers and earning citations is one of your top 3 prioritiesWriting production worthy code is something you tend to avoidTeaching or mentoring people from time-to-time isn’t how you want to spend your timeSkills & ExperienceBackground in speeding up training runs, optimizing AI models to be faster at inference, etc.Track record of optimization/performance related projectsHaving a PhD is not important to us but a track record of building real things in production is4+ years of working full-timeHere are examples of things we’ve worked on:Building an aesthetic classifier to predict aesthetically pleasing images by user ratingsPredicting highly accurate object masks from bounding boxesAbout Playground
Create any image from your imagination
Company Size:
6 - 10 PeopleYear Founded:
2022Country:
United StatesCompany Status:
Actively Hiring
#J-18808-Ljbffr
Playground United StatesDate Posted: 09 Jan, 2024Work Location: San Francisco, United StatesSalary Offered: $175000 — $250000 yearlyJob Type: Full TimeExperience Required: 3+ yearsRemote Work: YesStock Options: YesVacancies: 1 availableAt Playground, we combine AI research and product design to invent new kinds of creative tools.Note: We are only accepting candidates from the U.S. or Canada at this timeOver the next 10 years, we plan to create a powerful AI render pipeline that allows us to edit, create, and understand pixels to accomplish challenging tasks ranging from instructing an AI to make subtle changes to images, creating entire 3D environments, and understanding context of a scene in a video. We plan to start by accomplishing difficult tasks with images first.Our mission is to awaken the imagination within each of us.If you join us, you’ll be an early team member in helping shape:Our future company cultureOur engineering practicesPeople that we hireThe direction & focus of our productsWe need help optimizing training runs to squeeze out the most GPU compute per dollar as well as speeding up inference for our models to keep costs low while providing users a fast experience in the product.Engineers on the team today:Work primarily in Python and PyTorchWrite code based on the latest research to learn and exploreA perseverance to experiment but understand not everything they accomplish will be used in our productsAre supportive—especially when teammates are faced with new challengesAre left to autonomously figure out the solutions to their challengesValue clear, frequent communication (we do a lot of reading & writing)Are naturally curious and willing to take a step to learn something they don’t have experience inFeel a great sense of accountability to each otherUphold best practices in engineering, security, and designYou might be the wrong fit if…Publishing papers and earning citations is one of your top 3 prioritiesWriting production worthy code is something you tend to avoidTeaching or mentoring people from time-to-time isn’t how you want to spend your timeSkills & ExperienceBackground in speeding up training runs, optimizing AI models to be faster at inference, etc.Track record of optimization/performance related projectsHaving a PhD is not important to us but a track record of building real things in production is4+ years of working full-timeHere are examples of things we’ve worked on:Building an aesthetic classifier to predict aesthetically pleasing images by user ratingsPredicting highly accurate object masks from bounding boxesAbout Playground
Create any image from your imagination
Company Size:
6 - 10 PeopleYear Founded:
2022Country:
United StatesCompany Status:
Actively Hiring
#J-18808-Ljbffr