Machine Learning Engineer

Scribd, Inc.

+1
+4
United States

+1
+4
United States

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Über

Join to apply for the Machine Learning Engineer role at Scribd, Inc.Role OverviewWe are seeking a Machine Learning Engineer II to help design, build, and optimize high-impact ML systems that serve millions of users in near real time. You will work on projects that span from improving our core ML platform to integrating models directly into the product experience.About The TeamOur Machine Learning team builds both the platform and product applications that power personalized discovery, recommendations, and generative AI features across Scribd, Slideshare, and Everand. The ML team works on the Orion ML Platform – providing core ML infrastructure, including a feature store, model registry, model inference systems, and embedding-based retrieval (EBR). The MLE team also works closely with Product teams – delivering zero-to-one integrations of ML into user-facing features like recommendations, near real-time personalization, and AskAI LLM-powered experiences.Tech StackOur 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 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 ResponsibilitiesDesign, build, and optimize ML pipelines, including data ingestion, feature engineering, training, and deployment for large-scale, real-time systems.Improve and extend core ML Platform capabilities such as the feature store, model registry, and embedding-based retrieval services.Collaborate with product software engineers to integrate ML models into user-facing features like recommendations, personalization, and AskAI.Conduct model experimentation, A/B testing, and performance analysis to guide production deployment.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 and uphold engineering best practices.Manage and maintain ML infrastructure in cloud environments, including deployment pipelines, security, and monitoring.RequirementsMust Have3+ years of experience as a professional software or machine learning engineer.Proficiency in at least one key programming language (preferably Python or Golang; Scala or Ruby also considered).Hands-on experience building ML pipelines and working with distributed data processing frameworks like Apache Spark, Databricks, or similar.Experience working with systems at scale and deploying to production environments.Cloud experience (AWS, Azure, or GCP), including building, deploying, and optimizing solutions with ECS, EKS, or AWS Lambda.Strong understanding of ML model trade-offs, scaling considerations, and performance optimization.Bachelor’s in Computer Science or equivalent professional experience.Nice to HaveExperience with embedding-based retrieval, recommendation systems, ranking models, or large language model integration.Experience with feature stores, model serving & monitoring platforms, and experimentation systems.Familiarity with large-scale system design for ML.CompensationAt 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 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 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.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, including 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: Ottawa, Toronto, Vancouver; Mexico: Mexico City.Benefits, Perks, And Wellbeing At ScribdBenefits/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 employees12 weeks paid parental leaveShort-term/long-term disability plans401k/RSP matchingOnboarding stipend for home office peripherals + accessoriesLearning & Development allowanceLearning & Development programsQuarterly stipend for Wellness, WiFi, etc.Mental Health support & resourcesFree subscription to the Scribd Inc. suite of productsReferral BonusesBook BenefitSabbaticalsCompany-wide eventsTeam engagement budgetsVacation & Personal DaysPaid Holidays (+ winter break)Flexible Sick TimeVolunteer DayCompany-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.linkedin.com/company/scribd/lifeWe 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.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionEngineering and Information TechnologyIndustriesSoftware DevelopmentWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Wünschenswerte Fähigkeiten

Python
Ruby on Rails
Scala
Spark

United States

Berufserfahrung

Machine Learning

Sprachkenntnisse

English

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