intermediate machine learning engineer jobs in Toronto

Embrace the role of a Machine Learning Engineer II at Pinterest to drive innovation with ML technologies. Your expertise will help shape uniquely personalized experiences for users globally. At Pinterest, this role requires your 2+ years of industry experience in various machine learning domains, including user modeling and recommender systems. Collaborate...

Yelp is seeking a Staff ML Engineer on the Content Contributor Intelligence team. You’ll build end-to-end ML systems, from training to production, spanning text, images, and videos with NN, LLM, and embedding techniques. You’ll mentor engineers, handle large datasets, and deploy models for offline and online services, collaborating across teams to...

This hybrid role requires working in the office two days per week. With millions of diners, 70,000+ restaurant partners and 25+ years of experience, OpenTable, part of Booking Holdings, Inc. (BKNG), is an industry leader with a passion for helping restaurants thrive. Our world-class technology empowers restaurants to focus on what matters most – their...

At eBay, we’re more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass,...

As a Machine Learning Engineer, you will be building a platform that accelerates drug discovery with machine learning for a wide variety of use cases with respect to data modality, model architecture, and model size. By leveraging your experience in machine learning, software engineering, infrastructure, and data, you will: Build our machine learning...

**Secure Every Identity, from AI to Human** Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who...

Senior Software Engineer, Machine Learning Chorus · Toronto, OntarioLocation: Toronto, Ontario, in office ~4 days/week (68 Claremont Street, near Ossington and Queen St. West)Compensation: 150,000–170,000 CAD + equityReports to: Technical CEO, working directly with our Founding Engineer and Founding Data ScientistAbout ChorusChorus is marketing...

About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work...

We are a Silicon Valley Series C startup, spun out of the Stanford AI lab and are co-founded by Sebastian Thrun, co-founder and CEO of Google-X, Waymo, Udacity, Kitty Hawk, and more. Cresta launched in 2020. Since then, we’ve grown revenue and our team by 300% and became officially a Unicorn. We’ve assembled a world-class team of AI and ML experts,...

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Machine Learning is at the heart of Lyft's products and decision-making. Machine Learning Engineers at Lyft operate in dynamic environments, moving quickly to build the world's best...

About Kinaxis Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might...

S'more about the team The position is part of the Growth Alliance, which has the mission to empower the HelloFresh business to convince more customers to try, recommend, or return to our products. Within Growth, the Customer Value Optimization Tribe maximizes long-term customer value by optimizing pricing, personalizing benefits, forecasting customer value...

Who we are About the team Financial Connections is Stripe's open banking platform, enabling businesses to securely access consumer-permissioned financial data. Our platform connects to thousands of financial institutions, powering use cases from account verification to risk assessment to personal financial management. Across the Financial Connections...

About The Role What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Toronto to evaluate AI-generated machine learning solutions - catching errors, improving quality, and helping frontier AI models get genuinely better at one...

Culture at Scribd, Inc.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.We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers...

Mistplay is the #1 loyalty app for mobile gamers. Our community of millions of engaged mobile gamers come to Mistplay to discover new games to play and earn rewards. Gamers are rewarded for their time and money spent within the games and can redeem those rewards for gift cards. Mistplay is on a mission to be the best way to play mobile games for everyone...

About Kinaxis Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might...

Become a Lead Machine Learning Engineer at SELLIT9, focusing on advanced pricing models and computer vision technologies. Your work will enhance how we appraise used devices effectively. In this key role, you will direct the creation of predictive models based on extensive market research and condition evaluations via computer vision. Using PostgreSQL and...

Lead cutting-edge ML initiatives at Recursion as a Machine Learning Engineer in Toronto or Salt Lake City. Focus on developing a platform that transforms drug discovery through innovative technologies. As a senior engineer, you will design a machine learning platform that addresses complex data modalities in drug discovery applications. Your strong...

Director/ Senior Machine Learning Engineer in Medical Imaging TORONTO: RESEARCH AND DEVELOPMENT - FULL TIME Job Description Oncoustics is revolutionizing the use of point of care ultrasound in liver care through advanced AI. We are supported by high-profile institutional investors and have deep partnerships in place with several major ultrasound and...