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๐ค Closed by robot after apply link errored w/ code 0 2 years ago
\nReddit is a network of more than 100,000 communities where people can dive into anything through experiences built around their interests, hobbies and passions. Reddit users submit, vote and comment on content, stories and discussions about the topics they care about the most. From pets to parenting, thereโs a community for everybody on Reddit and with more than 50 million daily active uniques, it is home to the most open and authentic conversations on the internet. For more information, visit redditinc.com.\n\nWeโre evolving and continuing our mission to bring community, belonging, and empowerment to everyone in the world. Providing a delightful and relevant experience to our users applies to our Ads like all of our offerings, and weโre excited to build a product that is best-in-class for our users and advertisers. The year ahead is a busy one - join us! \n\nReddit is the 4th largest website on the internet, generating billions of events and terabytes of data every day. The Targeting team uses those events to generate machine learning systems that supercharge the performance of our ads platform.\n\nWe are a team of machine learning engineers, backend engineers and data scientists dedicated to improving Redditโs ads targeting. The majority of Redditโs revenue passes through our systems, and every improvement to our predictions translates into big wins for our business. Youโll own full-stack ML projects from ideation to production to turn data into products that millions of people love.\n\nAs an early member of the Ads Targeting ML efforts, you will be in a unique position to revolutionize Ads Targeting using Machine Learning techniques including Natural Language Processing, Recommendation Systems, Unsupervised Learning and Transfer Learning. \n\n \n\nResponsibilities:\n\n\nBuild and deploy machine learning models to improve ML focussed Ads Targeting products such as Lookalike Models, Keyword Targeting, User Interest Matching.\n\nLead analysis and implementation of features and signals.\n\nWrite production code to ship models to millions of users.\n\nParticipate in the full software development cycle: design, develop, QA, deploy, experiment, analyze and iterate.\n\nCollaborate across disciplines and with other ML teams at Reddit to find technical solutions to complex challenges.\n\n\n\n\nRequirements:\n\n\n5+ years as a Machine Learning Engineer or Machine Learning Scientist.\n\nUp to speed on industry best practices in machine learning.\n\nStrong communication and collaboration skills.\n\nSoftware Engineering practices and the ability to write performant production-quality code.\n\nComfortable with distributed learning, big data and large-scale systems.\n\nDegree in a quantitative discipline like Computer Science, Mathematics, Statistics or relevant work experience.\n\nPrior work experience in Ads ML, Recommender Systems or NLP preferred.\n\nExperience building and scaling Nearest Neighbor algorithms/ systems preferred.\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Ads, Machine Learning, Engineer and Backend jobs that are similar:\n\n
$67,500 — $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\nChicago, Illinois, United States
# 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.