Scribd

<div>At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we work to change the way the world reads by building the world’s 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 1.5M subscribers in nearly every country worldwide.</div><div><br></div><div><i>We’re defining the workforce of the future with&nbsp;</i><b><i>Scribd&nbsp;Flex</i></b><b><i>,</i></b><i>&nbsp;a program that&nbsp;embraces multiple perspectives while leaning into our belief that no matter where each team member is, we trust them to accomplish our shared business goals. This program lets employees, in partnership with their manager, choose where they work while creating intentional in-person meetings with co-workers that build culture and connect us personally.</i></div><div><br></div><div>Remote employees must have their primary residence in: Arizona, California, Colorado, Delaware, DC, Florida, Hawaii, Iowa, Massachusetts, Michigan, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Vermont, Washington, Ontario (Canada), and British Columbia (Canada).</div><div>*This list may not be complete or accurate, and candidates should speak with their recruiter about their specific location for remote work.</div><div><br></div><div><br></div><div>Applied Research: Content Modeling is a team of data scientists who extract quantitative understanding from the complex unstructured data in our growing corpus of varied multi-modal content. We are a world class AI/ML organization whose mission is to break new ground in how our customers discover content.&nbsp;</div><div><br></div><div>We are skilled in employing a diversity of methods from metadata extraction, natural language processing, computer vision, and classification. We build the rich semantic connections between our content and our users. We strive to know our users better than they know themselves, enabling us to transform personalized discovery experiences.</div><div><br></div><div>We are a full-stack data science team that runs exploratory analyses, sizes business impact, develops models, creates data pipelines, taking projects from research prototype to production system serving product surfaces. We work on Scribd’s unique and massive dataset consisting of hundreds of millions of documents, books, audiobooks, articles, slides and podcasts.&nbsp;</div><div><br></div><div><b>You will:</b></div><div><br></div><div>• Use SQL to query tables and build training datasets</div><div>• Build machine learning models in Python (with some work in Spark)</div><div>• Leverage state-of-the-art models using deep learning frameworks such as PyTorch and Tensorflow</div><div>• Work with Senior Data Scientists to operationalize data science projects</div><div>• Educate stakeholders through written and verbal communications methods on the approaches and results of projects, while writing detailed, accurate and concise project write ups</div><div>• Investigate innovative methods of solving our most challenging problems at Scribd.</div><div><br></div><div><b>You Have:</b></div><div><br></div><div>• 1-2 years of experience deploying machine learning models (natural language processing experience preferred)&nbsp;Beginner level or greater experience with SQL and possibly Spark</div><div>• Intermediate to advanced knowledge with Python</div><div>• Intermediate level in at least one of these fields: natural language processing, deep learning, computer vision, and bayesian or frequentist statistics</div><div>• A keen interest in learning what’s necessary to solve a business problem and make a positive business impact.</div><div>• Bachelors or Masters in relevant quantitative discipline (e.g. Computer Science, Software Engineering, Data Science, Machine  </div><div>Learning, Artificial Intelligence, Computational Linguistics, Mathematics, Statistics)</div><div><b>Benefits, Perks, and Wellbeing at Scribd</b></div><div><br></div><div>• Healthcare Insurance Coverage: Scribd pays for employee’s Medical, Vision, and Dental premiums and a portion of dependent premiums </div><div>•&nbsp;401k/RSP plans provided,&nbsp;plus company matching with no vesting period</div><div>• Professional development: generous annual budget for our employees to attend conferences, classes, and other events</div><div>•&nbsp;Quarterly Wellness, Connectivity &amp; Comfort Benefit</div><div>•&nbsp;Concern mental health digital platform</div><div>•&nbsp;Free subscription to Scribd + gift memberships for friends &amp; family</div><div>• Leaves: 12 weeks paid parental leave, company paid short-term/long-term disability plans and milestone Sabbaticals</div><div>•&nbsp;Generous Paid Time Off: Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day</div><div>•&nbsp;Company-wide Diversity, Equity, &amp; Inclusion programs which include learning &amp; development opportunities, employee resource groups, and hiring best practices.</div><div><br></div><div>Want to learn more? Check out our office and meet some of the team at <a href="https://www.linkedin.com/company/scribd/life/f42fcc76-9e50-4420-89c3-f17996272302/?viewAsMember=true" rel="nofollow noopener" target="_blank">www.linkedin.com/company/scribd/life</a></div><div><br></div><div><i>Scribd 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.</i></div><div><br></div><div><i>We 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.</i></div><div><br></div><div>&nbsp;#LI-Remote</div>

Data Scientist Applied Research, Content Modeling

Rescale

<div>Rescale is the leader in enterprise big compute in the cloud. Rescale empowers the world's transformative executives, IT leaders, engineers, and scientists to securely manage product innovation to be first to market. Rescale's hybrid and multi-cloud platform, built on the most powerful high-performance computing infrastructure, seamlessly matches software applications with the best cloud or on-premise architecture to run complex data processing, simulations, and the computation of AI, machine learning and other compute-intensive algorithms.</div><div><br></div><div>Rescale is a high performance computing platform designed to accelerate the creation of innovations like supersonic airplanes, next-generation biotech, air taxis, rocket ships, and more.&nbsp; Utilizing cutting-edge public cloud resources, the Rescale platform connects the world’s best engineers and scientists to the world’s best compute infrastructure so they can push the frontier further and faster.&nbsp;</div><div><br></div><div>We are looking for a Support Engineer to join our team!</div><div><br></div><div><br></div><h3>At Rescale, this means you will work on and impact: </h3><div><ul><li>Becoming an expert in the Rescale platform</li><li>Learning and supporting the state-of-the-art HPC workflows on the cloud</li><li>Providing the highest quality technical support to our customers</li><li>Working in a growing globally distributed support team</li><li>Operating in an interdisciplinary team environment with developers, engineers, business, and sales personnel</li></ul></div><h3>What we’re looking for: </h3><div><ul><li>BA/BS or higher in Engineering, Computer Science or related fields</li><li>US permanent resident or citizen</li><li>Experience as a Linux and Windows system administrator</li><li>Deep understanding of basic compute technology (storage, memory, CPU, GPU, IO)</li><li>Understanding and familiarity with HPC and parallel computing (parallel scaling, MPI, shared. memory)</li><li>Knowledge of basic networking concepts (firewalls, ports, throughput, latency)</li><li>Excellent written and verbal communication skills</li><li>Nice to Haves:Hands on experience with parallel workflows, engineering simulations, benchmarking, HPC, schedulers, and MPI Experience with shell and Python scripting</li><li>Experience in working with Enterprise customers</li></ul></div><h3>About your team at Rescale and who you will work with: </h3><div><ul><li><b>Manager: </b><a href="https://www.linkedin.com/in/wenbodu/" rel="nofollow noopener" target="_blank">Wenbo Du</a>, Global Support Engineering Manager.&nbsp;</li><li><b>Team: </b><a href="https://www.linkedin.com/in/gihyeon-lee-a6035325/?originalSubdomain=kr" rel="nofollow noopener" target="_blank">Gihyeon Lee</a>, <a href="https://www.linkedin.com/in/limmaoshan/" rel="nofollow noopener" target="_blank">Mao Shan Lim</a>,<a href="https://www.linkedin.com/in/jayacharan-kolla/" rel="nofollow noopener" target="_blank"> Jay Kolla</a>, <a href="https://www.linkedin.com/in/abhiy91/" rel="nofollow noopener" target="_blank">Abhishek Yeola</a>, <a href="https://www.linkedin.com/in/dan-jean-03031535/?originalSubdomain=uk" rel="nofollow noopener" target="_blank">Dan Jean</a></li></ul></div><div>If you have any questions before applying, please do not hesitate to reach out to Ivan Dedic at Ivan@rescale.com</div><div><br></div><div>#LI-Remote</div><div><br></div><div>Rescale is an Affirmative Action, Equal Opportunity Employer.&nbsp; As part of our standard hiring process for new employees, employment with Rescale will be contingent upon successful completion of a comprehensive background check.&nbsp; &nbsp;</div>

Remote Machine Learning Jobs

This Year