Machine Learning Engineer senior (H/F)

and where every employee is empowered to take action as we prioritize the customer.

When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It’s through our flexible work benefit, Scribd Flex, that employees – in partnership with their manager – can choose the daily work-style that best suits their individual needs. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. We operate at the intersection of large-scale data, cutting-edge machine learning, and product innovation — collaborating across brands and platforms to enhance user experiences in reading, listening, and learning.

Our Team Is a Blend Of Frontend, Backend, And ML Engineers Who Partner Closely With Product Managers, Data Scientists, And Analysts. Build and maintain end-to-end, production-grade ML systems for recommendations, search, and generative AI features.

Develop and operate services in Go, Python, and Ruby that power high-traffic recommendation and personalization pipelines.

Explore and implement generative AI for conversational recommendations, document understanding, and advanced search capabilities.

We’re looking for a Machine Learning Engineer who will design, build, and optimize ML systems that scale to millions of users. You’ll work across the entire lifecycle — from data ingestion to model training, deployment, and monitoring — with a focus on creating fast, reliable, and cost-efficient pipelines. You’ll also play a key role in delivering next-generation AI features like doc-chat and ask-AI that expand how users interact with Scribd’s content.

Data Pipelines – Collaborate with engineering and analytics teams to build large-scale ingestion, transformation, and validation pipelines on Databricks.

Model Development & Deployment – Train, evaluate, and deploy ML models (including generative models) to production using Scribd’s internal platform and industry-standard frameworks.

Cross-Functional Collaboration – Partner with product managers, data scientists, and analysts to identify opportunities, define requirements, and deliver solutions that solve real user problems.

4+ 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.

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

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

High-Impact Environment: Your contributions will power recommendations, search, and next-generation AI features used by millions of readers, learners, and listeners worldwide.

Cutting-Edge Projects: Tackle challenging ML and AI problems with a forward-thinking team, building novel generative features on top of Scribd’s massive and unique dataset.

Flexible Workplace: Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. In Canada, the reasonably expected salary range is between $165,000 CAD[minimum salary in our lowest geographic market] to $218,000 CAD[maximum salary in our highest geographic market].

relevant education or training; In the event that 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.

Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees

• 12 weeks paid parental leave
• Short-term/long-term disability plans
• Onboarding stipend for home office peripherals + accessories
• Referral Bonuses
• Vacation & Personal Days
• Paid Holidays (+ winter break)
• Flexible Sick Time
• 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.

Scribd Inc. 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.