About The Team
Our Machine Learning Platform sits at the heart of an ecosystem with over 200 million pieces of content, more than 200 million unique visitors each month, and empowering 2 million paying subscribers across the globe. With content available in over 20 languages, our platform presents unparalleled opportunities and challenges for AI innovation. This curated developer environment is designed not just to enable, but to accelerate AI projects, fueling an extraordinary Scribd user experience. Our platform supports a wide array of machine learning applications, from sophisticated classifications and personalized recommendations to cutting‑edge Large Language Models (LLMs). The ML Platform team is tasked with navigating the complexities of deploying state‑of‑the‑art ML solutions rapidly and cost efficiently. By constructing, delivering, and maintaining a robust platform, we ensure the seamless flow of the entire machine learning workflow — from initial experimentation to final production deployment.

The team is remote-first and is spread across time zones across North America and Europe. We use tools that emphasize asynchronous communication but also pair program or use online meetings when those are the best approaches. Regardless of the medium, excellent communication skills are a must. We operate with autonomy (developers closest to the code will make the most well-informed decisions) while holding ourselves and each other accountable.

About You
You are an experienced engineer looking for a new challenge and embrace learning new things. You have a passion for DevOps and Machine Learning. Solving challenging problems excites you and you don’t mind diving deep but you also know when to reach out to colleagues for help. You are strong at communicating and listening to customers to understand their needs.

About the Role





Scribd is searching for an Engineer to join the Machine Learning Platform team, you will be a part of designing, implementing and supporting services, tools and infrastructure that makes up the machine learning platform.

We recognize that everyone has a unique set of work and life experiences, and believe that a broader set of perspectives will produce better results for all. We continually strive for inclusivity and strongly value diversity. We support others' growth and celebrate our collective achievements.

You will influence the future and direction of Machine Learning at Scribd

Minimum Requirements

An appetite to learn and grow professionally

Strong written and verbal communication skills (we're a remote team!)

You will be communicating directly with the data scientists and engineers using the platform to understand requirements and providing remote support.

Software development background

Expertise in programming and software engineering. Ability to read and write code in one or more languages ideally Go, Python, Ruby, and/or Scala code. Solid understanding of software design principles.

Expertise applying Devops principles and tooling

Proficiency with common software development processes such as Agile development

Ability to lead technical design discussions within your team, and across partner teams

Experience working with infrastructure and a familiarity with Infrastructure best practices

Mentoring skills: experience with training and educating teammates or colleagues

Desired Skills





An understanding of AWS platform services

Concepts of Data Engineering

Infrastructure as code preferably Terraform

Experience deploying Machine Learning models in production

Experience with Machine Learning concepts and fundamentals

Compensation
In the United States, outside of California, the reasonably expected salary range is between $117,500 and $219,500. In the state of California, the reasonably expected salary range is between $143,000 and $231,000. In Canada, the reasonably expected salary range is between $147,000 CAD and $217,750 CAD. The salary range listed is for the level at which this job has been scoped. 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.

Benefits, Perks, and Wellbeing at Scribd
Benefits and 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 employees

12 weeks paid parental leave

Short‑term/long‑term disability plans

401k/RSP matching

Tuition Reimbursement

Learning & Development programs

Quarterly stipend for Wellness, Connectivity & Comfort

Mental Health support & resources

Free subscription to Scribd + gift memberships for friends & family

Referral Bonuses

Book Benefit

Sabbaticals

Company wide events

Team engagement budgets

Vacation & Personal Days

Paid Holidays (+ winter break)

Flexible Sick Time

Volunteer Day

Company-wide Diversity, Equity, & Inclusion programs

Want to learn more about life at Scribd? www.linkedin.com/company/scribd/life

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📌 Senior Machine Learning Platform Engineer (Manitoba)
🏢 Scribd
📍 Manitoba