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Machine learning engineer Jobs in Ottawa, ON

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Machine learning engineer • ottawa on

Last updated: 5 days ago
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Machine Learning Engineer

Machine Learning Engineer

Scribd, Inc.Ottawa H2B, ON, Canada
Remote
Full-time
At Scribd (pronounced “scribbed”), our mission is to spark human curiosity.Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empowe...Show moreLast updated: 30+ days ago
Senior Applied Scientist, AI / ML

Senior Applied Scientist, AI / ML

KinaxisOttawa, ON, CA
Full-time
Senior Software Developer, AI / ML.Be among the first 25 applicants.Senior Software Developer, AI / ML.Get AI-powered advice on this job and more exclusive features. Elevate your career journey by embra...Show moreLast updated: 30+ days ago
AI / ML Engineer

AI / ML Engineer

Work in OttawaOttawa, Ontario, Canada
Full-time
Tech companies are hiring in Ottawa!.If you’re looking for your next opportunity in tech, Work in Ottawa can help you build a thriving career in the fast-growing technology industry in Canada’s cap...Show moreLast updated: 30+ days ago
Machine Operator

Machine Operator

CB CanadaOttawa, Ontario, Canada
Full-time
Setup and operation of SMT equipment.Conducts product inspection according to specific procedures.Assist in Mechanical Assembly, Packaging and other areas if required. Experience with Fuji and Unive...Show moreLast updated: 30+ days ago
Machine Learning Architect (AWS) - Canada

Machine Learning Architect (AWS) - Canada

Rackspace TechnologyOttawa, ON, CA
Full-time
Be among the first 25 applicants.This range is provided by Rackspace Technology.Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.We are expanding...Show moreLast updated: 30+ days ago
Développeur(euse) Big Data / Machine Learning

Développeur(euse) Big Data / Machine Learning

Triton DigitalOttawa, Canada
Remote
Full-time
Position at Triton Digital Canada Inc.Tu es passionné par les nouvelles technologies et tu as envie de rejoindre une équipe de développement logiciel qui mise sur l’innovation, dans un environnemen...Show moreLast updated: 30+ days ago
Software Engineer

Software Engineer

AfuvaOttawa, ON, CA
Full-time
Afuva is a pioneering technology company specializing in advanced AI solutions.We develop cutting-edge AI for smart devices, home automation, image and vision, and wearable technology, alongside ro...Show moreLast updated: 30+ days ago
Full-Stack ML Engineer : Cloud, APIs & ML Pipelines

Full-Stack ML Engineer : Cloud, APIs & ML Pipelines

ALSOttawa, ON, CA
Full-time
A global scientific testing firm in Ottawa is seeking a Full Stack ML Engineer to build and maintain robust web applications. This role involves developing user interfaces, designing APIs, and manag...Show moreLast updated: 30+ days ago
Part-Time Professor : Applied ML for Engineering

Part-Time Professor : Applied ML for Engineering

VictraysOttawa, ON, CA
Part-time
A renowned educational institution is seeking a Part Time Professor for the 2026 Winter session to teach Applied Machine Learning for Computer Engineering. Applicants must have a doctorate in a rela...Show moreLast updated: 5 days ago
Forward-Deployed Sensor Fusion Engineer (Edge AI)

Forward-Deployed Sensor Fusion Engineer (Edge AI)

Dominion DynamicsOttawa, ON, CA
Full-time
A modern defence technology company located in Ottawa is seeking an Information & Sensor Fusion Engineer.This role involves developing sensor-fusion and perception systems with a focus on real-time...Show moreLast updated: 30+ days ago
Senior Staff Machine Learning Engineer, (ML Underwriting)

Senior Staff Machine Learning Engineer, (ML Underwriting)

AffirmOttawa, ON, CA
Full-time
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without hidden fees or compounding interest. Senior Staff Machine Learning...Show moreLast updated: 20 days ago
Staff Machine Learning Engineer - Ads Targeting

Staff Machine Learning Engineer - Ads Targeting

redditRemote, Ontario, Canada
Remote
Full-time
Reddit is a community of communities.It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote...Show moreLast updated: 30+ days ago
Python and Kubernetes Software Engineer - Data, AI / ML & Analytics

Python and Kubernetes Software Engineer - Data, AI / ML & Analytics

CanonicalOttawa, ON, CA
Full-time
Python and Kubernetes Software Engineer - Data, AI / ML & Analytics.Python and Kubernetes Software Engineer - Data, AI / ML & Analytics. Continue with Google Continue with Google.Python and Kubernetes S...Show moreLast updated: 30+ days ago
AI Network Automation Engineer (Flexible)

AI Network Automation Engineer (Flexible)

CienaOttawa, ON, CA
Full-time
A leading connectivity technology firm is looking for a Machine Learning Engineer to design AI-driven applications within the Navigator Network Control Suite. In this role, you will develop solution...Show moreLast updated: 23 days ago
Data Analytics Engineer - Hybrid

Data Analytics Engineer - Hybrid

Ribbon CommunicationsOttawa, ON, CA
Full-time
JOB TITLE Data Analytics Engineer – Ribbon Analytics (Full Time).Ribbon Communications is a global leader in real-time communications, transforming networks to secure IP and cloud-based architec...Show moreLast updated: 30+ days ago
Senior Machine Learning Engineer, Ad Performance

Senior Machine Learning Engineer, Ad Performance

Launch PotatoOttawa, Ontario, Canada
Full-time
Launch Potato is a profitable digital media company that reaches over 30M monthly visitors through brands such as.As The Discovery and Conversion Company our mission is to connect consumers with th...Show moreLast updated: 30+ days ago
Intermediate Machine Learning Developer

Intermediate Machine Learning Developer

TrellisOttawa, ON, CA
Full-time
Intermediate Machine Learning Developer.We are a fast-growing B2B SaaS company that provides an AI-powered software platform for eCommerce merchants to generate more demand for their products.Our p...Show moreLast updated: 30+ days ago
Machine Learning Engineer

Machine Learning Engineer

FullscriptOttawa, Ontario, Canada
Full-time
Were an industry-leading health technology company on a mission to help people get better.We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust ...Show moreLast updated: 12 days ago
Data Pipeline Engineer - Hybrid

Data Pipeline Engineer - Hybrid

Ribbon Communications Inc.Ottawa, ON, CA
Full-time
Data Pipeline Engineer - Hybrid page is loaded## Data Pipeline Engineer - Hybridlocations : Canada, Ontario, Ottawatime type : Full timeposted on : Posted Todayjob requisition id : REQ-2025-273...Show moreLast updated: 30+ days ago
People also ask
Machine Learning Engineer

Machine Learning Engineer

Scribd, Inc.Ottawa H2B, ON, Canada
30+ days ago
Job type
  • Full-time
  • Remote
Job description

Join to apply for the Machine Learning Engineer role at Scribd, Inc.

Join to apply for the Machine Learning Engineer role at Scribd, Inc.

About The Company

At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products : Everand, Scribd, and Slideshare.

About The Company

At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products : Everand, Scribd, and Slideshare.

We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; 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. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection. For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location.

So what are we looking for in new team members? Well, we hire for “GRIT”. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd, we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to. Here’s what that means for you : we’re looking for someone who showcases the ability to set and achieve G oals, achieve R esults within their job responsibilities, contribute I nnovative ideas and solutions, and positively influence the broader T eam through collaboration and attitude.

About The Team

Our Machine Learning team builds both the platform and product applications that power personalized discovery, recommendations, and generative AI features across Scribd, Slideshare, and Everand. ML teams works on the Orion ML Platform – providing core ML infrastructure, including a feature store, model registry, model inference systems, and embedding-based retrieval (EBR). MLE team also works closely with Product team – delivering zero-to-one integrations of ML into user-facing features like recommendations, near real-time personalization, and AskAI LLM-powered experiences

Role Overview

We are seeking a Machine Learning Engineer II to help design, build, and optimize high-impact ML systems that serve millions of users in near real time. You will work on projects that span from improving our core ML platform to integrating models directly into the product experience.

Tech Stack

Our Machine Learning team uses a range of technologies to build and operate large-scale ML systems. Our regular toolkit includes :

  • 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, including data ingestion, feature engineering, training, and deployment for large-scale, real-time systems.
  • Improve and extend core ML Platform capabilities such as the feature store, model registry, and embedding-based retrieval services.
  • Collaborate with product software engineers to integrate ML models into user-facing features like recommendations, personalization, and AskAI.
  • Conduct model experimentation, A / B testing, and performance analysis to guide production deployment.
  • Optimize and refactor existing systems for performance, scalability, and reliability.
  • Ensure data accuracy, integrity, and quality through automated validation and monitoring.
  • Participate in code reviews and uphold engineering best practices.
  • Manage and maintain ML infrastructure in cloud environments, including deployment pipelines, security, and monitoring.
  • Requirements

    Must Have

  • 3+ years of experience as a professional software or machine learning engineer.
  • Proficiency in at least one key programming language (preferably Python or Golang; Scala or Ruby also considered).
  • Hands-on experience building ML pipelines and working with distributed data processing frameworks like Apache Spark, Databricks, or similar.
  • Experience working with systems at scale and deploying to production environments.
  • Cloud experience (AWS, Azure, or GCP), including building, deploying, and optimizing solutions with ECS, EKS, or AWS Lambda.
  • Strong understanding of ML model trade-offs, scaling considerations, and performance optimization.
  • Bachelor’s in Computer Science or equivalent professional experience.
  • Nice to Have

  • Experience with embedding-based retrieval, recommendation systems, ranking models, or large language model integration.
  • Experience with feature stores, model serving & monitoring platforms, and experimentation systems.
  • Familiarity with large-scale system design for ML.
  • At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $126,000 [minimum salary in our lowest geographic market within California] to $196,000 [maximum salary in our highest geographic market within California].

    In the United States, outside of California, the reasonably expected salary range is between $T103,500 [minimum salary in our lowest US geographic market outside of California] to $186,500 [maximum salary in our highest US geographic market outside of California].

    In Canada, the reasonably expected salary range is between $131,500 CAD[minimum salary in our lowest geographic market] to $174,500 CAD[maximum salary in our highest geographic market].

    We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. 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.

    Working at Scribd, inc.

    Are you currently based in a location where Scribd is able to employ you?

    Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance :

    United States

    Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C.

    Canada

    Ottawa | Toronto | Vancouver

    Mexico

    Mexico City

    Benefits, Perks, And Wellbeing At Scribd

  • Benefits / 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
  • Onboarding stipend for home office peripherals + accessories
  • Learning & Development allowance
  • Learning & Development programs
  • Quarterly stipend for Wellness, WiFi, etc.
  • Mental Health support & resources
  • Free subscription to the Scribd Inc. suite of products
  • 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 Employee Resource Groups and programs that foster an inclusive and diverse workplace.
  • 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.
  • Want to learn more about life at Scribd? www.linkedin.com / company / scribd / life

    We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process.

    Scribd 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.

    Seniority level

    Seniority level

    Mid-Senior level

    Employment type

    Employment type

    Full-time

    Job function

    Job function

    Engineering and Information Technology

    Industries

    Software Development

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