Senior Machine Learning Engineer

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 work 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 to deliver zero‑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 lead 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. Lead complex, 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. Our Machine Learning team uses a range of technologies to build and operate large‑scale ML systems. Our regular toolkit includes: Languages: Python, Golang, Scala, Ruby on Rails APIs & Integration: HTTP APIs, gRPC Key Responsibilities Lead 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. 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; Scala or Ruby also considered). Expertise in designing and architecting large‑scale ML pipelines and distributed systems. Deep experience with distributed data processing frameworks (Spark, Databricks, or similar). Strong cloud expertise (AWS, Azure, or GCP) and experience with deployment platforms (ECS, EKS, Lambda). Proven ability to optimize system performance and make 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. Nice 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‑source 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. Compensation In the United States, outside of California, the reasonably expected salary range is between $129,500 and $220,000. In California, it is between $157,500 and $230,000. In Canada, the range is between CAD 165,000 and CAD 218,000. The position is also eligible for competitive equity ownership and a comprehensive benefits package. Benefits and Perks 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 Quarterly stipend for Wellness, WiFi, etc. Mental Health support & resources Free subscription to the Scribd suite of products Vacation & Personal Days Paid Holidays (plus winter break) Flexible Sick Time Company‑wide Employee Resource Groups and programs that foster an inclusive and diverse workplace. Access to AI Tools: free access to best‑in‑class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation. Working at Scribd, Inc. 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 within a typical commuting distance: United States Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada Toronto Mexico New York City| … (list continues) Logistics Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Engineering and Information Technology Industries: Software Development Contact & Application Referrals increase your chances of interviewing at Scribd, Inc. by 2x. Sign in to set job alerts for “Machine Learning Engineer” roles. 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 about the need for adjustments at any point in the interview process. Equal Opportunity Statement 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. #J-18808-Ljbffr