About The TeamOur 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 YouYou 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 robust at communicating and listening to customers to understand their needs.About the RoleScribd 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 ScribdMinimum RequirementsAn appetite to learn and grow professionallyStrong 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 backgroundExpertise in programming and software engineering. Ability to read and write code in one or more languages ideally Go, Python, Ruby, and/or Scala code. Strong understanding of software design principles.Expertise applying Devops principles and toolingProficiency with common software development processes such as Agile developmentAbility to lead technical design discussions within your team, and across partner teamsExperience working with infrastructure and a familiarity with Infrastructure best practicesMentoring skills:



experience with training and educating teammates or colleaguesDesired SkillsAn understanding of AWS platform servicesConcepts of Data EngineeringInfrastructure as code preferably TerraformExperience deploying Machine Learning models in productionExperience with Machine Learning concepts and fundamentalsCompensationIn 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 ScribdBenefits 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 employees12 weeks paid parental leaveShort‐term/long‐term disability plans401k/RSP matchingTuition ReimbursementLearning & Development programsQuarterly stipend for Wellness, Connectivity & ComfortMental Health support & resourcesFree subscription to Scribd + gift memberships for friends & familyReferral BonusesBook BenefitSabbaticalsCompany wide eventsTeam engagement budgetsVacation & Personal DaysPaid Holidays (+ winter break)Flexible Sick TimeVolunteer DayCompany-wide Diversity, Equity, & Inclusion programsWant to learn more about life at Scribd? www.Linkedin.Com/company/scribd/life #J-18808-Ljbffr

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