Scribd
About The Company
At Scribd (pronounced scribbed), our mission is to spark human curiosity. We aim to create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise. Our team fosters a culture where boldness and authenticity are valued, and we prioritize customer needs. Through our flexible work benefit, Scribd Flex, employees can choose a work style that suits them while also engaging in occasional in-person collaborations. We are looking for individuals who embody GRIT—a blend of passion and perseverance towards long-term goals.
About the Team
Our Machine Learning team is responsible for developing the platform and product applications that power personalized discovery, recommendations, and generative AI features across Scribd and its offerings. We build and maintain the Orion ML Platform, which includes core ML infrastructure, feature store, model registry, and embedding-based retrieval (EBR). This team collaborates closely with product teams to integrate ML into user-facing features.
Role Overview
We are seeking a Machine Learning Engineer II to design, build, and optimize high-impact ML systems that cater to millions of users in real-time. You will enhance our core ML platform and seamlessly integrate models into our product experience.
Tech Stack
Our team leverages various technologies to operate large-scale ML systems, including:
Languages:
Python, Golang, Scala, Ruby on Rails Orchestration & Pipelines:
Airflow, Databricks, Spark ML & 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, gRPC Infrastructure & Cloud:
AWS (Lambda, ECS, EKS, SQS, ElastiCache, CloudWatch), Datadog, Terraform Key Responsibilities Design, build, and optimize ML pipelines for large-scale, real-time systems. Enhance core ML platform capabilities, including feature store and model registry. Work with product engineers to integrate ML models into user-facing features. Conduct model experimentation and performance analysis. Optimize existing systems for performance and scalability. Ensure data accuracy and integrity through automated validation. Participate in code reviews and uphold best engineering practices. Manage and maintain ML infrastructure in cloud environments. Requirements 3 years of experience as a professional software or machine learning engineer. Proficiency in one key programming language (preferably Python or Golang). Experience in building ML pipelines and working with distributed data processing frameworks. Familiarity with cloud environments (AWS, Azure, or GCP). Strong understanding of ML model trade-offs and performance optimization. Bachelor's in Computer Science or equivalent professional experience. Nice to Have Experience with embedding-based retrieval and recommendation systems. Familiarity with feature stores, model serving platforms, and experimentation systems. Understanding of large-scale system design for ML. Salary and Benefits Your base pay is part of a total compensation package. The salary range for this position varies by location, with competitive equity ownership and a generous benefits package.nin the state of California, the expected salary range is between $126,000 to $196,000. In the United States, outside of California, the expected salary range is between $103,500 to $186,500. In Canada, the expected salary range is between $131,500 CAD to $174,500 CAD. Working at Scribd We welcome applicants from various locations, provided that they reside in commuting distance to major cities such as San Francisco, New York City, or Toronto. Benefits, Perks, and Wellbeing We offer comprehensive healthcare coverage, generous parental leave, disability plans, and 401k/RSP matching. Additional benefits include a learning allowance, wellness stipends, mental health resources, and more. Join Us We are committed to equal employment opportunities and encourage applications from diverse backgrounds. Come help us build something meaningful!
Python, Golang, Scala, Ruby on Rails Orchestration & Pipelines:
Airflow, Databricks, Spark ML & 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, gRPC Infrastructure & Cloud:
AWS (Lambda, ECS, EKS, SQS, ElastiCache, CloudWatch), Datadog, Terraform Key Responsibilities Design, build, and optimize ML pipelines for large-scale, real-time systems. Enhance core ML platform capabilities, including feature store and model registry. Work with product engineers to integrate ML models into user-facing features. Conduct model experimentation and performance analysis. Optimize existing systems for performance and scalability. Ensure data accuracy and integrity through automated validation. Participate in code reviews and uphold best engineering practices. Manage and maintain ML infrastructure in cloud environments. Requirements 3 years of experience as a professional software or machine learning engineer. Proficiency in one key programming language (preferably Python or Golang). Experience in building ML pipelines and working with distributed data processing frameworks. Familiarity with cloud environments (AWS, Azure, or GCP). Strong understanding of ML model trade-offs and performance optimization. Bachelor's in Computer Science or equivalent professional experience. Nice to Have Experience with embedding-based retrieval and recommendation systems. Familiarity with feature stores, model serving platforms, and experimentation systems. Understanding of large-scale system design for ML. Salary and Benefits Your base pay is part of a total compensation package. The salary range for this position varies by location, with competitive equity ownership and a generous benefits package.nin the state of California, the expected salary range is between $126,000 to $196,000. In the United States, outside of California, the expected salary range is between $103,500 to $186,500. In Canada, the expected salary range is between $131,500 CAD to $174,500 CAD. Working at Scribd We welcome applicants from various locations, provided that they reside in commuting distance to major cities such as San Francisco, New York City, or Toronto. Benefits, Perks, and Wellbeing We offer comprehensive healthcare coverage, generous parental leave, disability plans, and 401k/RSP matching. Additional benefits include a learning allowance, wellness stipends, mental health resources, and more. Join Us We are committed to equal employment opportunities and encourage applications from diverse backgrounds. Come help us build something meaningful!