Scribd
San Francisco
201-500 employees
The best audiobooks, books, and more, available anywhere. Join us on our mission to change the way the world reads.
Other Open Roles
Prior Listings
- Machine Learning Engineer - Recommendations
- Machine Learning Engineer
- Senior Product Manager, Content Data
- Senior Manager Data Engineering
- Director of Applied Research / Data Science
- Product Analyst, Account
- Senior Machine Learning Engineer (MLOps) - Applied Research
- Senior Machine Learning Engineer - Recommendations
- Senior Backend Engineer (Data pipeline and Metadata)
- Data Platform Engineer
- Senior Data Engineer
- Senior Backend Engineer (Data pipeline)
- Data Scientist
- Senior Applied Research Analyst
- Data Operations Manager
- Senior Manager Machine Learning
- Sr. Machine Learning Engineer
- Data Engineering Manager
- Data Analyst
- Senior Product Analyst/ Senior Data Scientist, Advertising
Data Scientist, Applied Research - Intelligent Systems
Data Scientist, Applied Research - Intelligent Systems
This job is no longer open
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 1.8M subscribers in nearly every country worldwide.
We’re defining the workforce of the future with Scribd Flex, a program that 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.
Remote employees must have their primary residence in: Arizona, California, Colorado, Connecticut, Delaware, DC, Florida, Hawaii, Iowa, Massachusetts, Michigan, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Vermont, Washington, Ontario (Canada), British Columbia (Canada), or Mexico.
*This list may not be complete or accurate, and candidates should speak with their recruiter about their specific location for remote work.
About the Team
Applied Research works on a variety of ML and NLP projects like spam detection, graph neural network recommendations, and embedding-based search. 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.
About You
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 you enjoy picking up new skills.
You will
- Build reproducible and scalable ML models in Python and Spark.
- Partner with ML engineers and software engineers to create state-of-the-art ML systems.
- Develop comprehensive knowledge of Scribd’s data structures and metrics.
- Write up analyses and produce visualizations that estimate the impact of potential projects and evaluate the business results produced by the ML models.
- Take complicated concepts, systems, and processes and clearly communicate what matters to stakeholders.
- Participate in the interview process, read & present research papers, and share your results in project deep dives.
You Have
- 3+ years experience in data science or ML engineering.
- BA/BS in a quantitative discipline.
- Intermediate level or greater experience with Python.
- Experience with data manipulation, aggregation, and pipeline building.
- Sufficient statistical skills to make effective ML modeling tradeoffs. Industry experience in at least one of the following fields: natural language processing, deep learning, or supervised learning on structured data.
- Energy and passion for learning what’s necessary to solve a business problem and make a positive business impact.
- A keen interest in keeping up to date in the field of ML by reading papers and attending classes or conferences, using these state-of-the-art approaches to tackle business problems.
- Preferred: Experience with Spark.
Benefits, Perks, and Wellbeing at Scribd
• Healthcare Insurance Coverage: Scribd pays for 100% of all employee’s Medical, Vision, and Dental premiums and a portion of dependent premiums
• 401k/RSP plans provided, plus company matching with no vesting period
• Professional development: generous continuing education annual budget for employees to attend conferences, classes, and pursue courses relevant to keeping skills current
• Quarterly Wellness, Connectivity & Comfort Benefit
• Concern mental health digital platform
• Free subscription to Scribd + gift memberships for friends & family
• Leaves: 12 weeks paid parental leave, company paid short-term/long-term disability plans and milestone Sabbaticals
• Generous Paid Time Off: Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day
• Company-wide Diversity, Equity, & Inclusion programs which include learning & development opportunities, employee resource groups, and hiring best practices.
Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work.
Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life
We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing HR@Scribd.com about the need for adjustments at any point in the interview process.
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.
We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. If you are still not sure or feel that you don't meet 100% of the requirements, apply anyway! We don't hire off keywords. We hire people who are willing to learn from mistakes and want to grow in their careers. Come join us in building something meaningful.
#LI-Remote
This job is no longer open