Senior Machine Learning Engineer

OverviewJoin to apply for the Senior Machine Learning Engineer role at Scribd, Inc.About The CompanyAt 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.Role OverviewWe 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.Tech StackLanguages: Python, Golang, Scala, Ruby on RailsOrchestration & Pipelines: Airflow, Databricks, SparkML & AI: AWS Sagemaker, embedding-based retrieval (Weaviate), feature store, model registry, model serving platforms, LLM providers like OpenAI, Anthropic, Gemini, etc.APIs & Integration: HTTP APIs, gRPCInfrastructure & Cloud: AWS (Lambda, ECS, EKS, SQS, ElastiCache, CloudWatch), Datadog, TerraformKey ResponsibilitiesLead 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.RequirementsMust Have6+ 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 HaveExperience 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 UsAs 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.Equal Employment Opportunity: 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.Additional InformationAre you currently based in a location where Scribd is able to employ you? Primary residence must be in or near listed U.S. or international cities. See original posting for posting-specific location requirements and benefits. #J-18808-Ljbffr