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๐ค Closed by robot after apply link errored w/ code 404 2 years ago
At Scribd (pronounced โscribbedโ), we believe reading is more important than ever. Join our cast of characters as we build the worldโs largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals and more. In addition to works from major publishers and top authors, our community includes over 1.4M subscribers in nearly every country worldwide.\n\nAbout the team\nApplied Research works on a variety of ML and NLP projects like spam detection, language identification, and text embeddings. We work on Scribdโs unique and massive dataset consisting of hundreds of millions of documents, books, audiobooks, and podcasts. Weโre seeking a skilled Senior ML Engineer that specializes in MLOps to help us productionize our wide variety of real time & batch processing models. Our team of 5 data scientists are excited to learn from you about how to efficiently build scalable production systems and to share their knowledge of building high performance machine learning models.\n\nAbout You\nYou enjoy teaching the skills youโve acquired. As a senior ML engineer youโve developed the ability to deeply understand the larger data ecosystem system from model requirements to business needs. You focus on designing tools and capabilities that help the team deploy more models to production. Youโre able to connect what youโre building to the downstream impact of how it will improve the product.\n\nYou will:\nDesign and implement ML systems that scale to reach millions of people.\nPackage tests, build containers, and deploy artifacts in CI/CD pipelines.\nWork with our AWS tech stack leveraging S3, ECR, CodeBuild, AWS Lambda, Sagemaker, & Databricks.\nCreate the interfaces, infrastructure, and clusters to process data efficiently.\nWork with other teams improve Scribdโs ML platform: logging, monitoring, scalability, model retraining, automated testing, environment isolation, and model health monitoring.\nBuild pipelines that process terabytes of data.\nCollaborate across teams to determine the highest-impact opportunities.\n\nYou Have:\n4+ years of relevant work experience automating ML pipelines and deploying ML models in production environments.\nAdvanced Spark or Pyspark skills.\nIntermediate Python and SQL skills.\nExperience optimizing infrastructure usage for performance, reliability, and cost.\nAn understanding of fundamental ML concepts and exposure to ML libraries like TensorFlow, Pytorch, and Scikit-learn.\nKnowledge of relevant software design patterns and system architecture.\nExperience working with the AWS technology stack and frameworks and environments such as Airflow and Docker.\n\nBenefits, Perks and Wellbeing at Scribd\n\nโขย Healthcare Benefits: Scribd pays 100% of employeeโs Medical, Vision, and Dental premiums and 70% of dependents\nโขย Leaves: Paid parental leave, 100% company paid short-term/long-term disability plans, and milestone Sabbaticals\nโขย 401k plan through Fidelity,ย plus company matching with no vesting period\nโขย Diversity, Equity, & Inclusion hiring best practices\nโขย Stock Options - every employee is an owner in Scribd!ย \nโขย Generous Paid Time Off, Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day\nโขย Referral bonuses\nโข Professional development: generous annual budget for our employees to attend conferences, classes, and other events\nโขย Company-wide Diversity, Equity & Inclusion training\nโขย Learning & Development and Coaching programs\nโขย Monthly Wellness, Connectivity & Comfort Benefit\nโขย Concern mental health digital platform\nโขย Work-life balance flexibility\nโขย Employee Resource Groups that build community and support among employees\nโขย Company events + Scribdchats\nโขย Free subscription to Scribd + gift memberships for friends & family\nโขย Monthly inclusive multi-cultural celebrations & learning opportunities\n\nWant to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life\n\nScribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.\n\nWe encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Senior, Engineer, Backend, Teaching and Python jobs that are similar:\n\n
$70,000 — $125,000/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\nSan Francisco OR US/Canada
# 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.