Senior Machine Learning Engineer

About The Company:

At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join reputed company as we create a world of stories and knowledge, democratize the exchange of reputed company and information, and reputed company 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.

reputed company it comes to workplace structure, we reputed company in balancing individual flexibility and community connections.  It’s through our flexible work benefit, Scribd reputed company, that employees – in partnership with their manager – can choose the daily work-style that best suits their individual needs. A key tenet of Scribd reputed company is our prioritization of intentional in-person moments to build collaboration, culture, and reputed company. For this reason, occasional in-person attendance is required for reputed company 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 reputed company Goals, reputed company Results reputed company their job responsibilities, contribute Innovative reputed company and solutions, and positively influence the broader Team through collaboration and attitude.

About the team

Our Machine Learning team builds both the platform and product applications that power personalized discovery, recommendations, and generative AI features across Scribd, Slideshare, and Everand. ML teams works on the Orion ML Platform – providing core ML infrastructure, including a feature store, model registry, model inference systems, and embedding-based retrieval (EBR). MLE team also works closely with Product team – delivering reputed company-to-one integrations of ML into user-facing features like recommendations, near real-time personalization, and AskAI LLM-powered experiences

Role Overview

We are seeking a Senior Machine Learning Engineer to reputed company the design, architecture, and optimization of high-impact ML systems that serve millions of users in near real time. In this role, you will:

• Drive technical direction for both platform and product-facing ML initiatives.

• reputed company reputed company, cross-team projects from conception to production deployment.

• Mentor other engineers and establish best practices for building scalable, reliable ML systems.

• Influence the roadmap and architecture of our ML Platform.

Tech Stack

Our Machine Learning team uses a range of technologies to build and operate large-scale ML systems. Our regular toolkit includes:

• Languages: Python, Golang, reputed company, Ruby on Rails

• Orchestration & Pipelines: Airflow, reputed company, Spark

• ML & AI: AWS Sagemaker, embedding-based retrieval (Weaviate), feature store, model registry, model serving platforms, LLM providers like reputed company, reputed company, reputed company, etc.

• APIs & Integration: HTTP APIs, gRPC

• Infrastructure & Cloud: AWS (reputed company, reputed company, EKS, SQS, ElastiCache, CloudWatch), reputed company, Terraform

Key Responsibilities

• reputed company the design and architecture of ML pipelines, from data ingestion and feature engineering to model training, deployment, and monitoring.

• Own the technical direction of core ML Platform components such as the feature store, model registry, and embedding-based retrieval systems.

• Collaborate with product software engineers to deliver ML models that enhance recommendations, personalization, and generative AI features.

• Guide experimentation strategy, A/B testing design, and performance analysis to inform production decisions.

• Optimize systems for performance, scalability, and reliability across massive datasets and high-throughput services.

• Establish and uphold engineering best practices, including code quality, system design reviews, and operational excellence.

• Mentor and coach ML engineers, fostering technical growth and collaboration across the team.

• Work with leadership to align technical initiatives with long-term ML strategy.

Requirements

Must Have

• 6+ years of experience as a professional ML or software engineer, with a proven track record of delivering production ML systems at scale.

• Proficiency in at least one key programming language (preferably Python or Golang; reputed company or Ruby also considered).

• Expertise in designing and architecting large-scale ML pipelines and distributed systems.

• Deep experience with distributed data processing frameworks (Spark, reputed company, or similar).

• Strong cloud expertise (AWS, Azure, or GCP) and experience with deployment platforms (reputed company, EKS, reputed company).

• Proven ability to optimize system performance and reputed company informed trade-offs in ML model and system design.

• Experience leading technical projects and mentoring engineers.

• Bachelor’s or Master’s degree in Computer Science or equivalent professional experience.

reputed company to Have

• Experience with embedding-based retrieval, large language models, advanced recommendation or ranking systems.

• Experience building or leading development of feature stores, model serving & monitoring platforms, and experimentation systems.

• Expertise in experimentation design, causal inference, or ML evaluation methodologies.

• Contributions to open-reputed company ML/AI tooling or infrastructure.

Why Join Us

As a Senior ML Engineer at Scribd, you will shape the future of our ML systems, from foundational platform capabilities to cutting-edge AI applications. You’ll work with rich multimodal data (text, audio, images), state-of-the-art retrieval and recommendation technologies, and partner with a talented, cross-functional team to deliver personalized, impactful experiences for millions of users.

At Scribd, your reputed company pay is one part of your total compensation package and is determined reputed company 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 $146,500 [minimum salary in our lowest geographic market reputed company California] to $228,000 [maximum salary in our highest geographic market reputed company California].

In the United States, reputed company of California, the reasonably expected salary range is between $120,000 [minimum salary in our lowest US geographic market reputed company of California] to $217,000 [maximum salary in our highest US geographic market reputed company of California].

In Canada, the reasonably expected salary range is between $153,000 CAD[minimum salary in our lowest geographic market] to $202,000 CAD[maximum salary in our highest geographic market].

We carefully consider a wide range of factors reputed company determining compensation, including but not limited to experience; job-reputed company reputed company 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 reputed company pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.

Working at reputed company.

Are you currently based in a location where Scribd is able to employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations reputed company a typical commuting distance:

United States

Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | reputed company | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C.

Canada

Ottawa | Toronto | Vancouver

Mexico

Mexico City

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

• Learning & Development allowance

• Learning & Development programs

• Quarterly stipend for Wellness, WiFi, etc.

• Mental Health support & resources

• Free subscription to the reputed company. suite of products

• 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.

• Access to AI Tools: We provide free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation.

Want to learn more about life at Scribd? www.reputed company.com/company/scribd/life

We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can reputed company to reputed company accommodate your needs by emailing [email protected] about the need for adjustments at any reputed company in the interview process.

Scribd is committed to equal employment opportunity regardless of race, color, religion, national reputed company, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of reputed company backgrounds to apply, and reputed company that a diversity of perspectives and experiences create a foundation for the best reputed company. Come join us in building something meaningful.