deep learning engineer

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes...

We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist’s consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That...

About Blue J Blue J is the leading generative AI solution for tax professionals and one of Canada's fastest-growing AI companies. Headquartered in Toronto, we’re a high-growth B2B SaaS company building industry-leading tax research software that helps accountants find accurate answers to complex tax questions with greater speed and confidence. Backed by a...

The Impact You’ll MakeAs 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...

Toronto, ON Full-time CA$142,400 - CA$190,100 / year eBay is hiring a Machine Learning Engineer for Depop, its peer-to-peer circular fashion marketplace. The team develops and productionizes machine learning and AI solutions using large-scale marketplace data. What you'll do Develop and deploy AI and machine learning models for marketplace and customer...

Build machine learning compilers and performance models at Qualcomm in Markham, using C++ and Python for efficient Qualcomm hardware mappings. As a Machine Learning Engineer on Qualcomm’s ML Systems Team, you will develop production and exploratory compiler solutions. Your work connects PyTorch frameworks with Qualcomm ML/AI compiler flows while analyzing...

Toronto, ON Full-time CA$142,400 - CA$190,100 / year eBay is hiring a Machine Learning Engineer for Depop, its peer-to-peer circular fashion marketplace. The team develops and productionizes machine learning and AI solutions using large-scale marketplace data. What you'll do Develop and deploy AI and machine learning models for marketplace and customer...

Scientific Games: Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers...

Autodesk makes software for people who make things. If you've ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched great science fiction films, chances are you've experienced what millions of Autodesk customers are doing with our software. Autodesk's Emerging Media and Entertainment Technology team is hiring...

About the RoleAs a Senior Machine Learning Engineer, you will:Be part of the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business, product, and recommender system objectives.Create machine learning solutions that are scalable, dependable, and secure.Craft and sustain technical...

About Saris AI We're a San Francisco, Montreal and Toronto based applied AI startup that’s building the future of work in the banking industry. We are tackling a $100 billion/yr problem, doubling every quarter and pushing the boundaries of what’s possible with multi-turn AI agentic systems Our goal is to tackle the type of automation problems that...

Where you will have an impact We are seeking an experienced Machine Learning Engineer to join our foundational Vancouver office and help lead engineering efforts within our Science team. In this role, you will collaborate closely in our research team to develop, integrate, test, and scale cutting‑edge algorithms, tools, and machine learning solutions for...

About The Role The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled...

Join an AI Innovation team in Toronto, ON that is building next-generation machine learning platforms and intelligent automation solutions for a global financial information and analytics organization. This full-time opportunity is ideal for an experienced Machine Learning Engineer looking to work with Python, large language models (LLMs), generative AI,...

The Impact You’ll Make 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...

For this role you’ll bring a functional knowledge of build systems, code coverage, test automation, and security scanning to automate the deployment of our general-purpose robots’ control stack. The ideal candidate for this role will be a versatile, creative engineer with excellent communication skills and a firm grasp of modern practices in data and...

Where you will have an impact We are seeking an experienced Machine Learning Engineer to join our dynamic team. In this role, you will collaborate closely with our research team to develop, integrate, test, and scale cutting-edge algorithms, tools, and machine learning solutions for autonomous driving. Your work will directly contribute to enhancing the...

About the Role SELLIT9 runs on one number: what a used device is worth. Two models decide whether we get that number right, and you'll own both. The first is pricing . We're building an append-only, point-in-time-correct dataset of competitor payouts, retail prices, and resale comps, built specifically to be trained on. The deterministic version ships...

Build the models and agents that read a plant's records and connect them, so scientists and engineers get answers they can check against the sources.Katalyze reads the records a medicine is made from: batch records, certificates of analysis, deviation records and the data around them. Much of it arrives as scanned pages, forms and tables. The models you...

NBCUniversal is seeking a Senior Reinforcement Learning Engineer with a background in developing virtual training environments. Focus on simulating environments and enhancing agent performance in real-world conditions. In this pivotal role, you will design and optimize high-fidelity simulation environments for training autonomous agents. Your experience in...