Description
At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products: Everand, Scribd, and Slideshare.
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.
When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It’s through our flexible work benefit, Scribd Flex, that employees – in partnership with their manager – can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection. For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location.
So what are we looking for in new team members? Well, we hire for “GRIT”. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd, we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to. Here’s what that means for you: we’re looking for someone who showcases the ability to set and achieve Goals, achieve Results within their job responsibilities, contribute Innovative ideas and solutions, and positively influence the broader Team through collaboration and attitude.
About the team:
The ML Data Engineering team is at the heart of metadata extraction and enrichment for all of our brands, managing and processing hundreds of millions of documents, billions of images, and serving millions of users. We operate at an unparalleled scale, handling diverse datasets, including UGC documents, ebooks, audiobooks, and more. Our goal is to build robust systems that drive content discovery, trust, and structured metadata across our platforms.
Role Overview:
We are seeking a Software Engineer II with a strong background in data engineering, software development, and scalable systems. As part of the ML Data Engineering team, you will work on designing, building, and optimizing systems that extract, enrich, and process metadata at scale. You’ll collaborate closely with machine learning teams, product managers, and other engineers to ensure the smooth integration and processing of vast amounts of structured metadata.
Tech Stack:
Our team uses various technologies. The following are the ones that we use on a regular basis: Python, Scala, Ruby on Rails, Airflow, Databricks, Spark, HTTP APIs, AWS (Lambda, ECS, SQS, ElastiCache, Sagemaker, Cloudwatch, Datadog) and Terraform.
Responsibilities
- Design and develop data pipelines to extract, enrich, and process metadata from millions of documents, images, and other content types.
- Collaborate with cross-functional teams, including ML engineers and product managers, to deliver scalable, efficient, and reliable metadata solutions.
- Build and maintain systems that operate at a massive scale, handling hundreds of millions of documents and billions of images.
- Optimize and refactor existing systems for performance, scalability, and reliability.
- Ensure data accuracy, integrity, and quality through automated validation and monitoring.
- Participate in code reviews, ensuring best practices are followed and maintaining high-quality standards in the codebase.
- Manage and maintain data pipelines, security and infrastructure.
Requirements
- 5+ years of experience as a professional software engineer (post qualifications).
- Proficient in one or more programming languages, such as Python, Ruby, Scala, or similar.
- Hands-on experience with real-time data processing
- Experience in frameworks like Apache Spark, Databricks, or similar tools for large-scale data processing.
- Experience working with systems at scale
- Experience maintaining and deploying infrastructure on public cloud provider (AWS, Azure, or Google Cloud).
- Hands-on experience with building, deploying, and optimizing solutions using ECS, EKS or AWS Lambdas.
- Proven ability to test and optimize systems for performance and scalability.
- Bachelor’s in CS or equivalent professional experience.
- Bonus points if you have experience working with Machine Learning systems.
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 $126,000 [minimum salary in our lowest geographic market within California] to $196,000 [maximum salary in our highest geographic market within California].
In the United States, outside of California, the reasonably expected salary range is between $103,500 [minimum salary in our lowest US geographic market outside of California] to $186,500 [maximum salary in our highest US geographic market outside of California].
In Canada, the reasonably expected salary range is between $131,500 CAD[minimum salary in our lowest geographic market] to $174,500 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.
Benefits, Perks, and Wellbeing at Scribd
*Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work.
• Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
• 12 weeks paid parental leave
• Short-term/long-term disability plans
• 401k/RSP matching
• Onboarding stipend for home office peripherals + accessories
• Tuition Reimbursement
• Learning & Development programs
• Quarterly stipend for Wellness, Connectivity & Comfort
• Mental Health support & resources
• Free subscription to Scribd + gift memberships for friends & family
• Referral Bonuses
• Book Benefit
• Sabbaticals
• Company wide events
• Team engagement budgets
• Vacation & Personal Days
• Paid Holidays (+ winter break)
• Flexible Sick Time
• Volunteer Day
• Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace.
Want to learn more about life at Scribd? 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 accommodations [@] 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. Come join us in building something meaningful.
---------------------------------------------------------------------------------------------------------------------------
Remote employees must have their primary residence in: Arizona, California, Colorado, Connecticut, DC, Florida, Georgia, Hawaii, Maryland, Massachusetts, Michigan, Missouri, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Washington, Ontario (Canada), British Columbia (Canada), or Mexico
#LI-Remote
Other Jobs from Scribd
Similar Jobs
Senior Software Engineer - ML Ops
Remote
US
Lead Data Engineer
Remote
Finland
Application Engineer (Backend)
Remote
UK
Senior MLOps Engineer - athenaIntelligence R&D
Remote
Boston, MA
Staff Machine Learning Platform Engineer
Remote
New York, NY
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 452 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- We've got about 70,000 jobs from 5,000 vetted companies. No fake or sleazy jobs here!
- We aggregate jobs from 5,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
- We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
- Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
- Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
- Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅
What Fellow Engineers Say
