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

Dataiku

<div>Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 900 employees work across the globe in our offices and remotely. Backed by a renowned set of investors and partners including CapitalG, Tiger Global, and ICONIQ Growth, we’ve set out to build the future of AI.&nbsp;</div><div><br></div><div>We are looking for a talented Senior Software Developer interested in AI and machine learning to join us at Dataiku to work on the very core of our world-renowned platform used by 350+ organizations and thousands of data scientists every day. As a Senior Software Engineer, you will build a cutting-edge product that has a real impact on our customers. You will focus on Dataiku DSS’ machine learning and statistics capabilities, from building algorithms to better use ML models to developing the required visualization interfaces that allow users to make the most of their models.&nbsp;</div><div><br></div><div><b>What we do</b></div><div><br></div><div>Dataiku DSS is an on-premises or SaaS platform that connects together many data science technologies. We work with Pandas, Spark, scikit-learn, Keras, TensorFlow, Kubernetes, and many more. Basically, our technological stack is made up of the latest and greatest technologies from the big data and machine learning landscape.&nbsp;</div><div><br></div><div><b>What you will be doing</b></div><div><br></div><div>Your role will be to add new features or improve existing ones to help our customers use predictive algorithms and put them into production with an intuitive and user-friendly interface, as well as APIs that let coders control and automate all those operations. You may also develop some other AI features (think NLP, time series, computer vision, labeling management, etc.) or collaborate with the AI Lab, our research department, to develop cutting edge POCs and experiments on a broad set of emerging machine learning topics.&nbsp;</div><div><br></div><div>The platform itself is in Java, Python, and Scala for the backend, with JavaScript and Angular on the frontend.</div><h3>You are the ideal recruit if:</h3><div><ul><li>You have at least 6 years of experience in software engineering.</li><li>You&nbsp;are interested in machine learning and are not afraid of statistics.</li><li>You are customer-oriented — you want to understand how the product is used and solve actual customer problems.</li><li>You know that boosted trees are not only about silviculture.</li><li>You have one or more professional experience building a real product.</li><li>You can mentor less tenured developers, helping them grow both their technical and non-technical skill.</li><li>You are humble and kind. </li><li>You don't hesitate to ask questions when you don't know, and you treat your colleagues with respect, kindness, and honesty.</li><div>(Note : This is a Software Engineering job. We have separate Data Scientist positions open).</div></ul></div><h3>Hiring process:</h3><div><ul><li>Initial call with the talent acquisition manager</li><li>On-site meeting (or video call) with a software developer or a team lead</li><li>Home test to show your skills</li><li>Final interviews with an engineering manager and a VP of engineering</li><li>An informal interview with a Dataiker to understand our culture</li></ul></div><h3>Dataiku’s culture is right for you if</h3><div><ul><li>You want to be able to define your own version of work-life balance - <i>flexible is our go-to word,&nbsp; it applies equally to remote work, vacations and parental benefits&nbsp;</i></li><li>You need autonomy to thrive - <i>we trust our people, give them space to do their best and stay away from artificial deadlines&nbsp;</i></li><li>You enjoy spending time with your colleagues and learning from your peers - <i>meet for Friday universities, annual offsites, virtual trivia nights and more&nbsp;&nbsp;&nbsp;</i></li><li>You like feeling cared about - <i>watch out for the magical Christmas box delivered at home and an unforgettable onboarding week</i></li><li>You care about giving back -<i> it’s what our </i><a href="http://Ikig.AI" rel="nofollow noopener" target="_blank"><i>Ikig.AI</i></a><i> program is all about: Dataikers are encouraged to work pro bono for one or several nonprofits of their choosing</i></li></ul></div><div>If you want to learn more about our hiring process, you can read this article about our <a href="https://blog.dataiku.com/apply.-interview.-learn-dataikus-engineering-hiring-philosophy" rel="nofollow noopener" target="_blank">engineering hiring philosophy</a>. </div><div><br></div><div><b>About Dataiku:</b></div><div><br></div><div>Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. By making the use of data and AI an everyday behavior, Dataiku unlocks the creativity within individual employees to power collective success at companies of all sizes and across all industries.&nbsp;Don’t get us wrong: we are a tech company building software. Our culture is even pretty geeky! But our driving force is and will always remain people, starting with ours. We consider our employees to be our most precious asset, and we are committed to ensuring that each of them gets the most rewarding, enjoyable, and memorable work experience with us. Fly over to <a href="https://www.instagram.com/dataiku/?hl=fr" rel="nofollow noopener" target="_blank">Instagram</a> to learn more about our #dataikulife. </div><div><br></div><div><i>Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer.&nbsp;All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: </i><a href="http://reasonable-accommodations@dataiku.com" rel="nofollow noopener" target="_blank">reasonable-accommodations@dataiku.com</a></div>

Senior Software engineer AI & Machine Learning - Reunion Island

<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><b>About the team:</b></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, to 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, creates data pipelines, presents projects, and builds models from research prototype to production system serving product features. 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>- Build ML models in Python and 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 methods of solving our most challenging problems at Scribd.</div><div><br></div><div><b>You Have:</b></div><div>- 1-2 years of experience deploying machine learning models (natural language processing experience preferred)&nbsp;</div><div>- Beginner level or greater experience with SQL and 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 Learning, Artificial Intelligence, Computational Linguistics, Mathematics, Statistics)</div><div><b>Benefits, Perks, and Wellbeing at Scribd</b></div><div><br></div><div>•&nbsp;Healthcare Benefits: Scribd pays 100% of employee’s Medical, Vision, and Dental premiums and 70% of dependents</div><div>•&nbsp;Leaves: Paid parental leave, 100% company paid short-term/long-term disability plans and milestone Sabbaticals</div><div>•&nbsp;401k plan through Fidelity,&nbsp;plus company matching with no vesting period</div><div>•&nbsp;Equity - Every employee is an owner in Scribd!&nbsp;</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;Referral bonuses</div><div>• Professional development: generous annual budget for our employees to attend conferences, classes, and other events</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>•&nbsp;Learning &amp; Development and Coaching programs</div><div>•&nbsp;Monthly Wellness, Connectivity &amp; Comfort Benefit</div><div>•&nbsp;Concern mental health digital platform</div><div>•&nbsp;Work-life balance flexibility</div><div>•&nbsp;Company events + Scribdchats</div><div>•&nbsp;Free subscription to Scribd + gift memberships for friends &amp; family</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>

Data Scientist I

<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><b>About the Team</b></div><div>Applied Research works on a variety of ML and NLP projects like spam detection, language identification, and text embeddings. We are a full-stack data science team that runs exploratory analyses, sizes business impact, creates data pipelines, presents projects, and builds models from prototype to production. We work on Scribd’s unique and massive dataset consisting of hundreds of millions of documents, books, audiobooks, articles, and podcasts.</div><div><br></div><div><b>About You</b></div><div>You are a curious person who enjoys tackling hard problems. You got into data science because you love being at the forefront of what is possible and the idea of building intelligent systems that scale to reach millions of people inspires you. As a data scientist, you have a deep appreciation for project-based learning and picking up new skills of all kinds, both technical and interpersonal.&nbsp;</div><div><br></div><div><b>You will</b></div><div>- Build reproducible and scalable ML models in Python and Spark.</div><div>- Work with large, complex data sets to solve difficult, non-routine analysis problems.&nbsp;</div><div>- Develop comprehensive knowledge of Scribd’s data structures and metrics.&nbsp;</div><div>- Take complicated concepts, systems, and processes and clearly communicate what matters to stakeholders.</div><div><br></div><div><b>You Have</b></div><div>- 2+ years of experience in data science or ml engineering.</div><div>- BA/BS in a quantitative discipline. Master’s or Doctorate degree preferred.</div><div>- Intermediate level or greater experience with Python and SQL.</div><div>- Sufficient statistical skills to make effective ML modeling tradeoffs.&nbsp;</div><div>- Experience with at least one of the following fields: natural language processing, deep learning, computer vision, and bayesian statistics.</div><div>- A keen interest in learning what’s necessary to solve a business problem and make a positive business impact.</div><div>- A sense of energy, passion and personal responsibility, taking on whatever you can for the good of the team.</div><div>- Preferred: Experience building data pipelines and models with Spark.</div><div><b>Benefits, Perks, and Wellbeing at Scribd</b></div><div><br></div><div>•&nbsp;Healthcare Benefits: Scribd pays 100% of employee’s Medical, Vision, and Dental premiums and 70% of dependents</div><div>•&nbsp;Leaves: Paid parental leave, 100% company paid short-term/long-term disability plans and milestone Sabbaticals</div><div>•&nbsp;401k plan through Fidelity,&nbsp;plus company matching with no vesting period</div><div>•&nbsp;Equity - Every employee is an owner in Scribd!&nbsp;</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;Referral bonuses</div><div>• Professional development: generous annual budget for our employees to attend conferences, classes, and other events</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>•&nbsp;Learning &amp; Development and Coaching programs</div><div>•&nbsp;Monthly Wellness, Connectivity &amp; Comfort Benefit</div><div>•&nbsp;Concern mental health digital platform</div><div>•&nbsp;Work-life balance flexibility</div><div>•&nbsp;Company events + Scribdchats</div><div>•&nbsp;Free subscription to Scribd + gift memberships for friends &amp; family</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>

Remote Computer Vision Jobs

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