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๐ค Closed by robot after apply link errored w/ code 0 2 years ago
Summary\n\nAs a remoteย machine learningย engineer, youโll work very closely with aย seniorย member of our research team on cutting-edge deep learning research, infrastructure, and tooling towards the goal of creating general human-like machine intelligence.\n\n\nExample projects\n\nโข Implement a self-supervised network using contrastive and reconstruction losses.\nโข Create a library on top ofย PyTorchย to enable efficient network architecture search.\nโข Open source internal tools.\nโข Implement networks from newly published papers.\nโข Work on tools for simple distributed parallel training of deep neural networks.\nโข Develop more realistic simulations for training our agents.\nโข Design automated methods and tools to prevent common issues with neural network training (e.g. overfitting, vanishing gradients, dead ReLUs, etc).\nโข Create visualizations to help us deeply understand what our networks learn and why.\n\n\nYou are\n\nโข Very comfortable writingย Python.\nโข Familiar withย PyTorchย and training deep neural networks.\nโข Excited to work on open source code.\nโข Passionate about engineering best practices.\nโข Self-directed and independent.\nโข Excellent at getting things done.\n\n\nBenefits\n\nโข Work directly on creating software with human-like intelligence\nโข Very generous compensation\nโข Flexible working hours\nโข Work remotely\nโข Time and budget for learning and self improvement\n\n\nHow to apply\n\nAll submissions are reviewed by a person, so we encourage you to include notes on why you're interested in working with us. If you have any other work that you can showcase (open source code, side projects, etc.), certainly include it! We know that talent comes from many backgrounds, and we aim to build a team with diverse skillsets that spike strongly in different areas.\n\nWe try to reply either way within a week or two at most (usually much sooner).\n\nLearn more about our full interview process here.\n\n\nAbout us\n\nWe started Generally Intelligent because we believe that software with human-level intelligence will have a transformative impact on the world. Weโre dedicated to ensuring that that impact is a positive one.\n\nWe have enough funding to freely pursue our research goals over the next decade, and our backers include Y Combinator, researchers fromย OpenAI, Astera Institute, and a number of private individuals who care about effective altruism and scientific research.\n\nOur research is focused primarily on self-supervised and generative video and audio models. Weโre excited about opportunities to use simulated data, network architecture search, and good theoretical understanding of deep learning to make progress on these problems. We take a focused, engineering-driven approach to research.\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Engineer and Video jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nRemote-only
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.