Senior Machine Learning Engineer

Job description

Overview

We’re 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.

About The Company: Scribd (pronounced “scribbed”) aims to spark human curiosity by democratizing the exchange of ideas and information.

Our products include Everand, Scribd, and Slideshare.

Role Overview

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 Stack

We use a range of technologies to build and 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
• APIs & Integration: HTTP APIs, gRPC
• Infrastructure & Cloud: AWS (Lambda, ECS, EKS, SQS, ElastiCache, CloudWatch), Datadog, Terraform

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.
  
  

Requirements

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, 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.

Salary and benefits: Our pay ranges are based on local benchmarks and location.

This position is eligible for competitive equity and a comprehensive benefits package.

Salary ranges vary by region and level; see below for examples.

In the United States, California ranges: $146,500 to $228,000.

Outside California: $120,000 to $217,000.

Canada: CAD 153,000 to CAD 202,000.

We consider many factors when determining compensation, including experience, skills, education, and business needs.

Working at Scribd

Are you based in a location where Scribd can employ you?

Primary residence should be in or near listed cities in the United States, Canada, or Mexico as applicable.

Benefits, Perks, And Wellbeing

• Benefits/perks vary by location.
  
  
• 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
• Learning & Development allowance
• Wellness and connectivity stipends
• Mental Health resources
• Free Scribd product subscriptions
• Referral bonuses
• Sabbaticals and team engagement budgets
• Vacation, Personal Days and Paid Holidays
• Volunteer Day
• Inclusive workplace with ERGs and AI tool access for productivity

Equal Opportunity

We are 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.

For accessibility adjustments during the interview process, email

Locations and seniority:

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Software Development

Required Skill Profession

Redes Y Sistemas