Machine Learning Engineer II at Pinterest | Toronto, ON

At GPTZero, we're dedicated to restoring trust and transparency on the internet. As the foremost AI detection platform, we empower educators, students, journalists, marketers, and writers to adeptly navigate the constantly changing landscape of AI-generated content. With millions of users and institutions relying on our services, we're forging a trailblazing company that stands at the crossroads of AI and information integrity.Our team comprises individuals from high-performing engineering cultures, including Meta, Perplexity, AWS, and Affirm, as well as esteemed AI research labs such as Princeton, Caltech, and Vector Institute.What We Are Looking ForAt GPTZero, we are committed to ensuring that machine learning models are developed for the benefit of humanity. In this role, you will contribute to building a next-generation platform aimed at verifying the origin, quality, and factuality of global information. The ideal candidate will have a solid background in machine learning research, an exceptional product sense, and proficiency in software engineering. You will collaborate with a fast-paced team of dedicated innovators, creating industry-defining software that has garnered over 2 million users worldwide. Previous intern projects have been showcased to venture capitalists and state-level policy leaders.ResponsibilitiesDepending on the candidate's strengths, this role can focus more on machine learning engineering or research with an emphasis on publications.Design, train, and fine-tune cutting-edge large language models.Develop AI agents that integrate retrieval-augmented language models.Create efficient and scalable machine learning training and inference systems.Stay abreast of the latest literature and emerging technologies to address novel challenges.Collaborate closely with product and design teams to develop user-friendly applications that drive societal impact.QualificationsProficiency in Python and PyTorch.Experience in pushing the boundaries of machine learning implementation.Self-starter with a strong desire to learn.Highly motivated to contribute positively to society.Ability to adapt and take on multiple roles.Valid work visa for Canada or the US.Bonus:A robust open-source portfolio.Publications in prestigious machine learning venues.

At GPTZero, we are dedicated to fostering trust and transparency in the digital realm. As the premier AI detection platform, we empower educators, students, journalists, marketers, and writers to adeptly navigate the complex world of AI-generated content. With millions of users and institutions depending on us, we are building a category-defining company that sits at the crossroads of artificial intelligence and information integrity.Our team is composed of professionals from high-performing engineering backgrounds, including industry leaders like Meta, Perplexity, AWS, and Affirm, alongside top-tier AI research institutions such as Princeton, Caltech, and the Vector Institute.We are on the lookout for a skilled Product Data Scientist who can analyze user behavior and product performance, conduct experiments, and create insightful dashboards that illuminate customer interactions with our web, API, and machine learning-based products. Your contributions will aid teams in making informed product decisions, enhancing user engagement and retention, while ensuring our models provide tangible value in real-world applications.

At GPTZero, we are dedicated to enhancing trust and transparency across the internet. As a pioneer in AI detection technology, we equip educators, students, journalists, marketers, and writers with the tools needed to navigate the complex world of AI-generated content. With millions of users and institutions depending on our platform, we are committed to creating a company that defines the future of AI and information integrity.Our diverse team comprises professionals from top-tier engineering backgrounds, including Meta, Perplexity, AWS, Affirm, and renowned AI research institutions such as Princeton, Caltech, and the Vector Institute.Your RoleWe are seeking skilled Quality Assurance Analysts to enhance our platform's user experience for our vast user base. The ideal candidate will be meticulous, self-sufficient, and possess a keen understanding of product quality. You will play a vital role in a dynamic team that is passionate about promoting critical thinking for humanity.

Greetings, Future Homie!Join us at Homebase, where we are passionate about empowering small businesses to flourish. Our dynamic team is driven by empathy, urgency, and a bold approach that leads to meaningful outcomes. At Homebase, every team member contributes to elevating our standards, supporting each other, and celebrating our collective successes.We are not merely developing an application; we are fostering unstoppable teams. Are you ready to join us?Your Impact Begins HereAs a Platform Engineer, you will play a key role in designing and implementing components for our data and ML platforms. Your contributions will empower data engineering, data science, and product teams to create features driven by data and machine learning, ensuring that our systems are scalable, reliable, and seamlessly integrated.Architect, develop, and enhance the ingestion processes for large volumes of both structured and unstructured data from a variety of sources.Facilitate data architecture transformation initiatives on Databricks, promoting scalable and efficient systems.Lead the design and implementation of platform components for training, deploying, and monitoring machine learning models in production environments.Provide insights into industry best practices, tools, and technologies in the field of machine learning engineering.Champion continuous enhancements of data and ML workflows through automation and innovative solutions.Own projects end-to-end, ensuring successful delivery from planning to execution.Collaborate with cross-functional teams to gather business requirements and develop effective technical solutions. Key to Your Success - These experiences and strengths will position you for success:Over 5 years of experience in software development, with a focus on data and machine learning.Proficient in SQL, Python, and Databricks.Experience with Airflow, Kafka, and Redshift.Strong skills in data modeling and database design.Expertise in building and deploying machine learning models, including language models.Experience in creating model serving pipelines for batch, streaming, and real-time inference.Demonstrated ability to work collaboratively in a fast-paced environment.

“Transform every logistics journey into a remarkable experience”Company Overview:Established in 2014, Quincus is a pioneering B2B SaaS platform specializing in supply chain operations, with its headquarters in Singapore. Our mission is to tackle the pressing challenges of global supply chains through innovative technology. By leveraging AI and machine learning, we have revolutionized the logistics landscape, providing our clients with unparalleled transparency and efficiency in their supply chain operations.Founded by two visionary entrepreneurs with over a decade of tech experience, Quincus is led by Chief Product Officer Katherina-Olivia Lacey, who champions a tech revolution while promoting women's empowerment within the supply chain sector. CEO Jonathan E. Savoir, recognized in Forbes' 30 Under 30 Asia List in 2020, also contributes to several startup boards, driving innovation forward.Role Overview:Quincus Research is at the forefront of developing the next generation of intelligent systems for our suite of products. We are seeking a highly motivated and skilled Machine Learning Engineer to join our dynamic team. You will play a pivotal role in designing and deploying deep learning and reinforcement learning algorithms at scale. Your expertise will be essential in creating scalable systems for model serving, optimizing inference performance, and managing production workflows.Key Responsibilities:- Design and implement scalable systems for deploying deep learning and reinforcement learning models.- Optimize the inference performance of models through advanced techniques like quantization, pruning, and distillation.- Leverage GPU computing to enhance model training and inference efficiency.- Develop and manage production workflows for the training and deployment of machine learning models.- Collaborate cross-functionally with data scientists and software engineers to create effective machine learning systems.- Monitor and enhance the performance of machine learning models in production.- Stay abreast of the latest advancements in deep learning and reinforcement learning methodologies.

Cresta is dedicated to transforming customer interactions into a strategic edge by harnessing the full potential of contact centers. Our innovative platform merges advanced AI capabilities with human intelligence, enabling contact centers to uncover valuable customer insights, streamline conversations, automate inefficient processes, and empower team members to enhance productivity. Founded by visionary leaders from the esteemed Stanford AI lab, including Sebastian Thrun, known for his groundbreaking work with Google X and Waymo, Cresta's leadership also features Ping Wu, co-founder of Google Contact Center AI, and Tim Shi, an early member of OpenAI.Embark on an exhilarating journey with us to redefine the workplace through AI. The future of work is unfolding at Cresta.About the Role:The Knowledge Assist (KA) team at Cresta is at the forefront of developing AI solutions tailored for the contact center industry, with a primary focus on enhancing agent productivity by ensuring access to the right knowledge at the right moment.Current projects include:Generative Knowledge Assist (GenKA): Provides real-time, context-aware suggestions for contact center agents, integrating multiple knowledge bases to facilitate quick information retrieval and ensure accurate responses.Knowledge Search (KS): A custom search experience designed specifically for contact center agents, built on the GenKA infrastructure, with aspirations to evolve into a comprehensive enterprise search solution.Retrieval-Augmented Generation (RAG): A pivotal initiative supporting GenKA and KS, focusing on efficient retrieval of relevant knowledge and generating ready-to-use responses based on this knowledge.Our internships are set in a dynamic, fast-paced environment where collaboration with top researchers and engineers is encouraged. Interns will have the opportunity to contribute to significant AI research and implement innovative techniques at scale.This internship offers a rare chance to influence the future of AI at Cresta by tackling complex challenges and introducing groundbreaking AI advancements into real-world applications.

At d-Matrix, we are pioneering the potential of generative AI to transform the technology landscape. Positioned at the cutting edge of both software and hardware innovation, we continuously strive to expand the horizons of what can be achieved in this dynamic field. Our workplace culture is built on the principles of respect and collaboration.We emphasize the importance of humility and open communication. Our inclusive team thrives on diverse perspectives, which lead to innovative solutions. We are on the lookout for motivated individuals who are passionate about overcoming challenges and are driven by tangible outcomes. Are you ready to explore your playground? Together, we can unlock the infinite possibilities of AI.Job Title: Software Engineering Intern - KernelsLocation: Toronto, CanadaProgram Duration: 12 weeks: June 1st - August 21st or June 22nd - September 11thProject Overview:As a Software Engineering Intern on our Kernels team, you will have a significant impact on the development of high-performance kernels that are crucial for accelerating machine learning models. Your role will encompass creating reference implementations for accuracy verification, defining unit tests for the implemented operators, optimizing performance, conducting scalability analysis across varying problem sizes, and packaging and shipping the final implementations. You will also gather performance metrics and identify bottlenecks to enhance core functionality.What You Will Do:Implement high-performance kernels using low-level languages (Assembly/ISA experience is a plus).Develop, test, and optimize kernels for machine learning models and performance.Automate the creation of reference implementations and unit tests.Analyze scalability and performance, collect metrics, and troubleshoot bottlenecks.Package and share implementations with partner teams.

This internship requires in-office work at OpenTable’s downtown Toronto office two days per week. The program runs for 12 weeks. OpenTable, part of Booking Holdings, Inc. (NASDAQ: BKNG), connects millions of diners with over 60,000 restaurant partners worldwide. With more than 25 years in the industry, OpenTable provides technology that helps restaurants focus on hospitality and helps guests find the right spot for any occasion. Role overview The People Operations Intern joins a global team that values hospitality and care. This position focuses on improving the HR document management system, emphasizing accuracy, privacy, and compliance. The internship is based in Toronto and follows a hybrid schedule. What you will do Lead the transition of employee documents from various formats into Workday Develop and maintain a centralized, well-organized record-keeping system Ensure employee files are secure, searchable, and compliant with privacy standards Handle high-volume data organization while upholding data integrity Collaborate with HR and IT teams to integrate digital files into daily operations Report to the People Operations Team Lead Requirements Strong attention to detail and organizational skills, with an interest in HR information systems Comfortable managing complex data and documentation Commitment to data privacy and operational efficiency

Tiger Analytics is a leading analytics consulting firm that partners with several Fortune 100 companies, empowering them to derive significant business insights from their data. Our team consists of highly skilled consultants with extensive knowledge in Data Science, Machine Learning, and Artificial Intelligence. We have received recognition from renowned market research firms such as Forrester and Gartner for our innovative approaches and leadership in the analytics space.We are seeking passionate and driven Machine Learning Engineers to join our dynamic team.In this role, you will:Develop and implement solutions for deploying, executing, validating, monitoring, and enhancing data science initiatives.Design scalable and high-performance machine learning systems.Create reusable data pipelines for the seamless integration of machine learning models.Produce high-quality production code and libraries that can be containerized for deployment.

Wisedocs is an innovative and rapidly expanding AI platform that revolutionizes the way insurance companies evaluate claims. With approximately $20 million USD in funding, over 100 team members worldwide, and more than 90 clients across North America and Australia, we are experiencing remarkable growth, doubling our revenue year after year.Founded by industry experts who have firsthand experience with the claims process, Wisedocs merges extensive domain expertise with cutting-edge AI, trained on over 100 million documents. Our platform simplifies complex medical records into clear, structured insights, supported by expert human oversight.Join our mission-driven team dedicated to developing intelligent products that simplify complexity, expedite decision-making, and create a significant impact when it matters most.Role OverviewWe are on the lookout for a Senior Machine Learning Engineer to spearhead the scaling and innovation of machine learning initiatives across the organization. In this pivotal role, you will enhance our inference and training pipelines to accommodate a higher volume of customers while refining extraction and summarization techniques across various modalities. You will foster a customer-centric approach and collaborate with fellow senior engineers to seamlessly integrate the ML system into the broader Wisedocs platform.Our Current ML EcosystemWe have three primary types of ML systems operational in production: an entity classification system, a custom reports generator, and a series of summarization models. Our entity classification has been functioning for four years and currently processes data asynchronously using a combination of models. Discover more about our initiatives at our tech blog.Recent Projects by Our ML Team:Reconstructing our inference pipeline to achieve 100x scalingDeveloping consistent parsing methods for 50,000-page PDFsDeploying our pipeline within an isolated government client environmentYour ResponsibilitiesDesigning and implementing machine learning models to analyze and interpret large sets of medical and insurance documentsCreating robust, scalable APIs using PythonCollaborating with technical stakeholders and leaders to contribute to system design and implementationEnsuring the reliability and scalability of ML systems while enforcing best practices in data engineering and model lifecycle managementWorking closely with our expert-in-the-loop teams to develop industry-leading evaluationsAdditional responsibilities will evolve as projects progress and change

We are seeking innovative and driven Data Scientists with a strong passion for tackling real-world challenges. You will thrive in environments that require working with both structured and unstructured data and will be motivated to develop and deploy scalable machine learning models. This role demands exceptional critical thinking and problem-solving abilities.

Join bree as a Machine Learning Engineer, where you will be at the forefront of cutting-edge technology, developing algorithms and models that drive innovation. Collaborate with a dynamic team to enhance machine learning frameworks and contribute to impactful projects that transform data into actionable insights.

At Plusgrade, we believe travel is about the journey, not just the destination. Our mission is to redefine the future of travel by partnering with over 250 leading companies in the airline, hospitality, cruise, passenger rail, and financial services sectors. We focus on creating significant revenue opportunities through exceptional customer experiences. Emphasizing our core values of ambition, innovation, and collaboration, we are committed to exceeding expectations and fostering a culture of excellence. Join us as we turn ordinary travel into extraordinary experiences.ROLE OVERVIEW:As a Backend Developer specializing in Machine Learning within our ML Applications team, you will play a pivotal role in designing, developing, and deploying advanced machine learning solutions to tackle complex business challenges. This position demands a robust background in software development, a keen interest in innovative technologies, outstanding problem-solving abilities, and the capacity to thrive both independently and as part of a dynamic team.This position reports directly to the Director of ML Applications.KEY RESPONSIBILITIES:• Collaborate in a dedicated team focused on enabling machine learning applications across the organization.• Develop, scale, and operationalize state-of-the-art machine learning solutions.• Create scalable and resilient ML pipelines for predictive analytics, enhancing key performance indicators such as member engagement and revenue.• Implement robust monitoring processes for production ML pipelines.• Support production systems to deliver batch and real-time streaming model predictions.• Engage actively in solution design and modeling, ensuring adherence to best practices and ML architectural principles.• Partner closely with Product, Engineering, and Marketing teams to develop data-driven ML solutions addressing critical business questions.• Deploy models, assess their performance, and continuously refine them.• Oversee model retraining, drift monitoring, pipeline automation, quality control, and governance of production models.• Collaborate with the Operations team to ensure effective production support.CANDIDATE PROFILE:• Minimum of 4 years of experience in ML pipelines and ML-focused Python development.• Strong understanding of software engineering principles and practices.• Proficient in RESTful APIs.• Experienced in building ML and LLM-based recommendation systems.• Proven track record in designing and developing backend components optimized for low-latency and high-performance applications.

Join Fullscript as a Senior Machine Learning EngineerAt Fullscript, we’re revolutionizing health technology with a commitment to enhancing patient care. Established in 2011, our mission is straightforward: to empower practitioners with easy access to trusted products, enabling them to provide superior care.Our platform has evolved to support over 125,000 practitioners, offering clinical insights, lab interpretations, patient analytics, and access to premium supplements. More than 10 million patients depend on Fullscript to maintain their care plans and achieve their health goals.We develop innovative tools designed to simplify healthcare, making it smarter and more personal. By consolidating everything practitioners need in one place, we enable them to concentrate on what truly matters: helping people get better.Your Opportunity Awaits.Bring your creativity, dedication, and compassion to our team. Join us in shaping the future of healthcare.We're on the lookout for a Senior Machine Learning Engineer to join our dynamic AI team. In this role, you will spearhead the development of cutting-edge AI features that enhance clinicians' services and empower patients to achieve better health outcomes.

Join Stripe as a Machine Learning Engineer focused on supportability. In this role, you will leverage machine learning techniques to enhance product support and improve user experience. You will work collaboratively with cross-functional teams to develop innovative solutions that address customer needs.

LOCATION: This position can be based anywhere in Canada, with a preference for candidates situated in the eastern or central time zones to facilitate collaboration with our teams in the US, Europe, and India.ABOUT THE ROLEWiser Solutions is on the lookout for a Principal Machine Learning Engineer to lead and implement our AI and data science strategy. This senior technical leadership position requires an individual with profound expertise in machine learning, data science, and production engineering, complemented by the business insight needed to translate complex capabilities into customer value.As the technical authority for AI at Wiser, you will set architectural direction, communicate our capabilities to customers and partners, and deliver production systems that yield measurable business outcomes. This role demands proficiency in both strategic planning and hands-on implementation, allowing you to present to executives while also debugging production pipelines in the same week.We are cultivating an AI-native engineering culture at Wiser, where AI tools and techniques are integral to our workflows, not just the products we develop. We need a Principal AI Engineer who not only delivers AI products but also exemplifies AI-enhanced work methodologies and aids the broader engineering team in their adoption. If you are passionate about the transformative potential of AI in software development and implement that transformation in your daily activities, we want to hear from you.What You Will DoStrategic LeadershipDefine and enhance Wiser's AI and data science technical strategy in collaboration with product and business leadership.Articulate Wiser's AI capabilities to customers, partners, and advisors—clarifying our approach, roadmap, and unique offerings.Identify high-impact opportunities where AI can solve customer challenges or provide a competitive edge.Develop technical standards, patterns, and best practices that shape engineering decisions across the organization.Technical ExecutionArchitect and build production AI systems, including LLM applications, RAG pipelines, semantic search, and traditional ML models.Create rigorous evaluation frameworks, experimentation methodologies, and monitoring systems that ensure AI solutions yield reliable, measurable results.Integrate classical data science methods (statistical modeling, experimentation design, feature engineering) with modern generative AI approaches.Oversee technical quality for AI systems across the board: from data pipelines to model deployment and production observability.Cross-Functional ImpactCollaborate with product management to convert business requirements into technical solutions and validate these solutions against customer needs.Mentor and elevate the AI/data science team (3-5 engineers), enhancing the technical capabilities of the team.

About Boson AI: At Boson AI, we are at the forefront of innovative AI solutions, shaping the future of enterprise AI. Our dedication to advanced AI research, especially in the realms of large language models and agentic systems, empowers us to address intricate real-world challenges for businesses and generate substantial value. Our vibrant and collaborative team of researchers and engineers is committed to pushing the limits of possibility, ensuring that we deliver high-quality, reliable products that integrate seamlessly into enterprise workflows and establish new benchmarks in the industry.About the Role: We are looking for a talented, detail-oriented, and driven Machine Learning Engineer to join our enterprise team. In this crucial position, you will spearhead the development and deployment of innovative AI solutions. This role entails integrating sophisticated language, voice, and vision models, mastering fine-tuning methodologies, constructing advanced workflows and platforms, and pioneering novel agentic strategies. You will engage with challenging problems that require a profound understanding of model behavior, precise implementation, and an unwavering dedication to quality and reliability in enterprise settings. A thrilling aspect of this role is your contribution to the architecture and implementation of intelligent systems where AI agents autonomously execute intricate tasks, interfacing with various data sources and tools, as we collectively strive to build truly integrated and powerful AI capabilities for our clients.

LOCATION: This position can be based anywhere in Canada, with a preference for candidates in the Eastern or Central time zones who can collaborate effectively with our teams across the US, Europe, and India.ABOUT THE ROLEWiser Solutions is on the lookout for a dynamic Principal Machine Learning Engineer to lead and execute our AI and data science strategies. This senior-level technical leadership role demands an individual with profound knowledge in machine learning, data science, and production engineering paired with the business insight required to turn complex capabilities into tangible customer value.As the technical authority for AI at Wiser, you will guide architectural direction, represent our capabilities to clients and partners, and oversee the delivery of production systems that yield measurable business benefits. This role necessitates the ability to seamlessly transition from strategic planning to hands-on implementation, capable of presenting to executives while also troubleshooting production pipelines within the same week.At Wiser, we are cultivating an AI-native engineering culture where AI tools and techniques are integrated into our daily operations, not just the products we create. We seek a Principal AI Engineer who not only delivers AI solutions but also exemplifies AI-enhanced methodologies, supporting the broader engineering team in their adoption. If you believe in the transformative power of AI in software development and embody that transformation in your work, we want to hear from you.What You Will DoStrategic LeadershipDefine and evolve Wiser's AI and data science technical strategy in collaboration with product and business leadership.Articulate Wiser's AI capabilities to customers, partners, and advisors, outlining our approach, roadmap, and unique selling points.Identify significant opportunities where AI can address customer challenges or provide a competitive edge.Establish technical standards and best practices that guide engineering decisions across the organization.Technical ExecutionArchitect and develop production AI systems, including LLM applications, RAG pipelines, semantic search, and traditional machine learning models.Create robust evaluation frameworks, experimentation methodologies, and monitoring systems to ensure AI solutions deliver reliable and measurable outcomes.Integrate classical data science techniques (statistical modeling, experimentation design, feature engineering) with contemporary generative AI methodologies.Oversee the technical quality of AI systems from data pipelines through to model deployment and production observability.Cross-Functional ImpactCollaborate with product management to translate business requirements into technical solutions, validating them against customer needs.Mentor and uplift the AI/data science team (3-5 engineers), raising the technical standards across the board.

Role overview Aerovect is looking for a Machine Learning Operations Software Engineer to join the team in Toronto. The position centers on building and deploying machine learning models that support the company’s products. The main focus is on refining workflows, maintaining model reliability, and contributing to the team’s results. What you will do Develop and maintain systems that handle the deployment of machine learning models Collaborate with engineers and data scientists to improve and streamline machine learning processes Help ensure the performance and reliability of Aerovect’s product offerings Location This role is based in Toronto.

About the Role Movable Ink is hiring a Senior Platform Engineer with a focus on Machine Learning for its Toronto office. This role centers on building and improving machine learning features within our marketing technology platform. What You Will Do Work closely with colleagues from different teams to design and implement machine learning solutions that strengthen the platform. Develop and maintain systems that help clients deliver personalized experiences to their audiences at scale. Apply engineering expertise to create reliable, maintainable, and scalable ML infrastructure. Location This position is based in Toronto at Movable Ink.