Top 360 Scribd Jobs | SimplyHired

Data Scientist II
Scribd, Inc. —Denver, CO
- $118,000 - $150,000 a year
- Full-time
- Computer Science
- Mid-level
- Residential
- Paid parental leave
- Disability insurance
3d
Senior Manager, Technical Program Management
Scribd, Inc. —Seattle, WA
- $125,500 - $228,500 a year
- Full-time
- 5 years
- Residential
- Analysis skills
- Paid parental leave
- Disability insurance
Senior Paid Social Manager
Scribd, Inc. —Seattle, WA
- $107,500 - $113,000 a year
- Full-time
- 6 years
- Residential
- Analysis skills
- Paid parental leave
- Disability insurance
Lead Product & Lifecycle Growth Marketer
Scribd, Inc. —Phoenix, AZ
- $144,000 - $216,500 a year
- Full-time
- Writing skills
- Residential
- Senior level
- Paid parental leave
- Disability insurance
Lead Product Manager, Search
Scribd, Inc. —Jacksonville, FL
- $151,000 - $256,000 a year
- Full-time
- 6 years
- Computer Science
- Residential
- Paid parental leave
- Disability insurance
Senior Technical Program Manager
Scribd, Inc. —Jacksonville, FL
- $124,500 - $194,000 a year
- Full-time
- 5 years
- Residential
- Analysis skills
- Paid parental leave
- Disability insurance
11d
Senior Data Analyst, Customer Operations
Scribd, Inc. —Portland, OR
- $97,000 - $146,000 a year
- Full-time
- Residential
- SQL
- Analysis skills
- Paid parental leave
- Disability insurance
Lead Product Manager - AI Developer Platform
Scribd, Inc. —Phoenix, AZ
- $141,000 - $256,500 a year
- Full-time
- 7 years
- Residential
- AWS
- Paid parental leave
- Disability insurance
VP, Data & Analytics
Scribd, Inc. —San Francisco, CA
- $225,000 - $320,000 a year
- Full-time
- Residential
- Analysis skills
- Recruiting
- Paid parental leave
- Disability insurance
Software Engineer (Backend), Content Foundations
Scribd, Inc. —Seattle, WA
- $126,000 - $196,000 a year
- Full-time
- System design
- Mid-level
- Residential
- Paid parental leave
- Disability insurance
Software Engineer II (Signup & Activation)
Scribd, Inc. —Portland, OR
- $125,000 - $184,000 a year
- Full-time
- Writing skills
- Mid-level
- Residential
- Paid parental leave
- Disability insurance
Staff Software Engineer (Backend) - Fable Core
Scribd, Inc. —Phoenix, AZ
- $141,000 - $267,000 a year
- Full-time
- System design
- Residential
- AWS
- Paid parental leave
- Disability insurance
Lead Product Analyst
Scribd, Inc. —San Francisco, CA
- $144,000 - $203,000 a year
- Full-time
- 7 years
- Residential
- SQL
- Paid parental leave
- Disability insurance
Senior Backend Engineer (Python) - Content Understanding
Scribd, Inc. —Portland, OR
- $146,500 - $228,000 a year
- Full-time
- Computer science
- 7 years
- Computer Science
- Paid parental leave
- Disability insurance
Senior Backend Engineer, Content Foundations
Scribd, Inc. —Phoenix, AZ
- $146,500 - $228,000 a year
- Full-time
- 7 years
- System design
- Residential
- Paid parental leave
- Disability insurance
Senior AI Data Engineer
Scribd, Inc. —San Francisco, CA
- $127,500 - $235,000 a year
- Full-time
- 5 years
- Residential
- SQL
- Paid parental leave
- Disability insurance
Senior Manager, Data Engineering
Scribd, Inc. —Chicago, IL
- $154,500 - $265,000 a year
- Full-time
- Residential
- Continuous improvement
- Mentoring
- Paid parental leave
- Disability insurance
10d
Director, IT & Corporate Security
Scribd, Inc. —San Francisco, CA
- $220,000 - $290,000 a year
- Full-time
- Hybrid work
- Google Workspace
- Azure
- Inventory management
- Paid parental leave
- Disability insurance
Senior Software Engineer (Python + Distributed systems)
Scribd, Inc. —Dallas, TX
- $146,500 - $228,000 a year
- Full-time
- Computer science
- 7 years
- Computer Science
- Paid parental leave
- Disability insurance
Software Engineer (Backend, Python) - Content Understanding
Scribd, Inc. —Austin, TX
- $126,000 - $196,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Paid parental leave
- Disability insurance

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Data Scientist II

Scribd, Inc.
Denver, CO

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Job Details

Full-time
$118,000 - $150,000 a year
3 days ago

Benefits

Paid parental leave
Disability insurance
Health insurance
Dental insurance
Paid time off
Parental leave
Vision insurance

Qualifications

AI models
Big data projects
Production systems
Machine intelligence
Model deployment
Distributed systems
Developing large-scale AI models

Full Job Description

Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd, Slideshare, Everand, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise.

Culture at Scribd, Inc.

We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.

We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location.

So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude.

This posting reflects an approved, open position within the organization.

About the team

The Applied Research team is a group of data scientists and content specialists who are experts in leveraging machine learning, natural language processing and generative AI models to develop solutions which deliver value to our users and business.

We act as a key driver for innovation, whether it’s in product surface experimentation, metadata generation or model development. Along with Product and Engineering partners, we design solutions and collaborate in cross-functional squads to maximize business impact.

Our areas of impact include content enrichment, representation learning, recommendations, search, translation and many others, applied to diverse media across text, image, and audio. We operate at a scale of hundreds of millions of documents, millions of users and billions of user interactions.

Role Overview

We are seeking a Data Scientist II with experience developing and deploying machine learning models. You will help design and implement high impact AI and ML systems. We work in cross-functional teams collaborating with Machine Learning Engineers, Data Engineers and Product. We are seeking a curious and collaborative individual with an eye for simplicity, end-end visibility and impact and that is excited about building models using massive amounts of data, using language models and deploying models.

Responsibilities

Focus on a variety of content classification use cases, leveraging everything from traditional NLP to sophisticated LLMs and generative models
Investigate methods of solving our most challenging problems at Scribd, at scale
Collaborate with other Data Scientists, Machine Learning Engineers and ML Data Engineers on cross-functional projects
Leverage any algorithm at your disposal: from classical Scikit-learn and NumPy models to custom Neural Networks in PyTorch to third party LLM APIs
Process massive amounts of data with Python, SQL and Spark
Align with stakeholders through written and verbal communications methods on the approaches and results of projects, while writing detailed, accurate and concise project documentation

Requirements

3+ years of post qualification experience developing machine learning models, working with systems at scale and deploying to production environments.

Proficiency in Python.
Hands-on experience building ML pipelines and working with distributed data processing frameworks like Apache Spark, Databricks, or similar.
Intermediate level in at least three of these fields: classification algorithms, natural language processing, search, information retrieval, named entity recognition, deep learning, generative models.
Intermediate level or greater experience with SQL or PySpark.
Bachelors or Masters in relevant quantitative discipline including but not limited to Statistics, Computer Science, Data Science, Artificial Intelligence or another field with a strong quantitative focus.

At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $118,000 [minimum salary in our lowest geographic market within California] to $184,000 [maximum salary in our highest geographic market within California].

In the United States, outside of California, the reasonably expected salary range is between $97,000 [minimum salary in our lowest US geographic market outside of California] to $175,000 [maximum salary in our highest US geographic market outside of California].

In Canada, the reasonably expected salary range is between $123,000 CAD[minimum salary in our lowest geographic market] to $150,000 CAD[maximum salary in our highest geographic market].

We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.

Working at Scribd, Inc.

Are you currently based in a location where Scribd, Inc. can employ you?
Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance:

United States:

Canada:

Ottawa | Toronto | Vancouver

Mexico:

Mexico City

Benefits at Scribd, Inc.

Scribd Flex (flexible work model)
Comprehensive health, dental, and vision coverage
Mental health support and disability coverage
Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals
Paid parental leave and family support benefits
Retirement matching and employee equity
Learning and development programs and professional growth opportunities
Wellness and home office stipends
Complimentary access to the Scribd, Inc. suite of products
Enterprise access to leading AI tools

Get to Know Scribd, Inc.
About Scribd, Inc.
Life at Scribd, Inc.

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 [email protected] about the need for adjustments at any point in the interview process.

If you apply for a job with Scribd or otherwise engage with us in connection with employment (including as an employee, contractor, or other personnel), the personal information we process in that context is subject to our Employee and Applicant Privacy Policy, which is available here.

Scribd, Inc. 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. Come join us in building something meaningful.

Apply Now

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Data Scientist II

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Lead Product Manager - AI Developer Platform

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Senior Backend Engineer (Python) - Content Understanding

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Senior AI Data Engineer

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