ML Data Engineer II

January 15

🌵 Arizona – Remote

Although this job is listed in Arizona, this company may be open to hiring remote in other states.

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

+18 more states

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🏈 Ohio – Remote 🌲 Oregon – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ☕ Washington – Remote

💵 $126k - $196k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

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Scribd

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Scribd is a digital document library offering access to over 195 million documents across various topics and niches. It serves as a platform for users to discover, upload, and share a diverse array of content, including academic papers, legal documents, manuals, and more. Through a subscription, users can enjoy an ad-free experience and have the ability to download documents for offline use. Scribd also includes access to Everand, which provides millions of ebooks, audiobooks, podcasts, magazines, and sheet music. Additionally, SlideShare within Scribd allows access to millions of community-uploaded presentations and professional documents. With its comprehensive library, Scribd caters to those seeking specialized knowledge and inspiration in nearly every field.

ebooks • publishing • subscription service • books • literary community

201 - 500 employees

Founded 2007

🛍️ eCommerce

📱 Media

☁️ SaaS

💰 $58M Private Equity Round on 2019-11

📋 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. • Our flexible work benefit - Scribd Flex - enables employees, in partnership with their manager, to choose the daily work-style that best suits their individual needs. • As an organization, we prioritize collaboration and intentional in-person moments to build culture and connection. • For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location. • 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. • 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. • Our team uses various technologies: Python, Scala, Ruby on Rails, Airflow, Databricks, Spark, HTTP APIs, AWS (Lambda, ECS, SQS, ElastiCache, Sagemaker, Cloudwatch, Datadog) and Terraform.

🎯 Requirements

• 3+ years of experience as a professional software engineer. • Proficient in one or more programming languages, such as Python, Ruby, Scala, or similar. • Hands-on experience with data processing frameworks like Apache Spark, Databricks, or similar tools for large-scale data processing. • Experience working with systems at scale. • Experience working with a 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.

🏖️ Benefits

• Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees • 12 weeks paid parental leave • Short-term/long-term disability plans • 401k/RSP matching • 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 Diversity, Equity, & Inclusion programs