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About the job
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
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 …
Role overview Stripe is hiring a Machine Learning Engineer in Toronto to help improve the support experience for users. This role centers on applying advanced machine learning methods to make customer interactions smoother and support operations more efficient. What you will do Work with cross-functional teams to design and build solutions that strengthen Stripe’s user support systems. Apply machine learning to real-world support challenges, aiming to improve both customer satisfaction and operational efficiency. Contribute to Stripe’s broader goal of growing the GDP of the internet by making support more effective. Location This position is based in Toronto, Canada.
Role Overview Paytm is hiring a Staff AI Platform Engineer in Toronto, Canada, with a focus on Inference and Agentic Systems. This role centers on designing and improving AI-powered platforms that support intelligent, agent-like features for users and business applications. What You Will Do Work with a skilled team to build and refine AI solutions that support agentic behaviors and inference-driven capabilities. Apply experience in machine learning, software engineering, and system architecture to develop and scale reliable AI platforms. Contribute technical leadership and hands-on expertise to projects that advance Paytm’s AI offerings. Key Skills Deep knowledge of machine learning and inference methods Strong background in software engineering Experience designing and maintaining complex system architectures
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.
Full-time|CA$130K/yr - CA$165K/yr|Hybrid|Toronto, ON | Hybrid
NetBrain Technologies Inc., established in 2004, develops no-code network automation solutions. The company’s Next-Gen platform supports IT operations teams in managing complex hybrid multi-cloud networks. Features include automated troubleshooting, proactive outage prevention, and secure change management. Over 2,500 enterprises and managed service providers use NetBrain’s technology to improve network operations. Role overview The Senior AI Engineer will design and implement production-ready agent and Retrieval-Augmented Generation (RAG) systems for intelligent automation within the NetBrain platform. This position combines hands-on engineering with architectural planning, focusing on building scalable, observable, and reliable systems in a live environment. The work involves moving quickly from prototypes to deployed solutions, working through ambiguity, and maintaining high standards for quality and safety. Key responsibilities Design and develop core agent platform features, including orchestration patterns such as ReAct and Plan-and-Execute, tool execution layers, memory and context management, and safety controls. Build reusable agent skills and create a standardized tool ecosystem tailored to the platform’s needs. Location This role is based in Toronto, ON, with a hybrid work arrangement.
Full-time|CA$168K/yr - CA$231K/yr|On-site|Toronto, ON
About FaireFaire is a revolutionary online wholesale marketplace founded on the principle that the future belongs to local. Independent retailers across the globe generate more revenue than giants like Walmart and Amazon combined. However, they often struggle against these massive entities. At Faire, we harness the power of technology, data, and machine learning to connect this vibrant community of entrepreneurs worldwide. Think of your favorite local boutique; we empower them to discover exceptional products from around the globe to showcase in their stores. With the right insights and tools, we aim to level the playing field, enabling small businesses to compete effectively with larger e-commerce platforms.By fostering the growth of independent businesses, Faire is creating a positive economic ripple effect in local communities globally. We are in search of intelligent, resourceful, and passionate individuals to join us and champion the shop local movement. If you resonate with our commitment to community, we invite you to be part of ours.About this RoleAt Faire, we utilize cutting-edge machine learning and data insights to transform the wholesale sector, empowering local retailers to take on competitors like Amazon and big box stores. Our Data Science team is pivotal in designing and maintaining a diverse array of algorithms and models that drive our marketplace. We are focused on developing machine learning models that enable our customers to thrive.As a vital member of the Brand Data Science team dedicated to Listing Quality, your primary responsibility will be to enhance the quality of product listings, ensuring retailers can efficiently find and evaluate products on Faire. You will employ ML and AI to address significant challenges, including improving image and text quality, extracting structured product attributes, and accurately identifying duplicates and product variants. Utilizing deep learning, multi-modal LLMs, and human-in-the-loop training, you will create high-performance solutions. This is a rapidly evolving space, and you will be at the forefront of applying the latest technology to drive meaningful real-world impact. You will independently design and implement solutions while collaborating with the cross-functional Listing Quality pod, which includes product, design, engineering, analytics, and operations teams, to resolve challenges comprehensively.
Join RAVL, a leading boutique technology advisory and engineering firm dedicated to transforming the financial services sector. Our mission is to empower clients by maximizing their technology investments and delivering measurable ROI. We are expanding our engineering team and seeking talented Machine Learning Platform Engineers to architect and implement scalable ML solutions for our diverse clientele. Your expertise will be vital in developing cloud-native ML infrastructures, enhancing MLOps capabilities, and facilitating comprehensive model lifecycle management in enterprise settings. This position addresses immediate project demands and anticipates future hiring needs, with an emphasis on constructing robust, production-ready ML systems at scale.
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.
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.
About MagicalMagical is an innovative automation platform that integrates cutting-edge AI technology into the healthcare sector, providing AI agents capable of functioning effectively in real-world settings.Our mission is to create 'AI employees' that streamline tedious and time-consuming processes, specifically in healthcare—a massive $4 trillion industry laden with administrative burdens. We focus on automating critical tasks such as claims processing, prior authorizations, and eligibility checks, allowing healthcare professionals to dedicate more time to patient care.Our AchievementsAs pioneers in the transition to agentic automation in healthcare, we have achieved significant traction:Dramatic revenue growth with clients expanding into new workflows ahead of contract renewals.Rapid proof-of-concepts completed in just 7 days, delivering tangible value in an industry where similar timelines typically span months.Self-repairing automations with production-level reliability at scale, outperforming competitors who struggle to launch functional solutions.Unlike many AI firms that make grand promises, we provide dependable solutions that yield measurable outcomes. Our backing includes notable investors such as Greylock, Coatue, and Lightspeed, with a total funding of $41M. Our founder, Harpaul Sambhi, is a seasoned entrepreneur who previously sold his first company to LinkedIn.Role OverviewIn your role as a Senior Backend Engineer on the Agent Platform team, you will develop the core systems that drive our AI agents—covering aspects from orchestration and state management to model integration and evaluation pipelines. This position is centered around platform engineering, focusing on building the infrastructure that empowers our team to deliver reliable, production-grade agentic automation.You will work at the forefront of multi-agent systems, designing collaborative strategies for agents to tackle complex healthcare workflows. You will take ownership of essential backend services, overseeing them from architecture to deployment while developing verification systems that ensure our agents perform accurately every time.This hybrid position requires you to be onsite in our Toronto office two days each week.
Overview: Join Guidepoint as a skilled Data/AI Engineer and become a vital part of our innovative AI team in Toronto. Our Technology Hub is at the forefront of developing a modern data infrastructure that empowers advanced analytics and promotes responsible AI practices. This strategic initiative is crucial to Guidepoint's vision of harnessing cutting-edge Generative AI and analytical capabilities to enhance our Next-Gen research enablement platform and data-driven products. This role requires remarkable leadership and technical expertise to propel the creation of next-generation research enablement platforms and AI-enhanced data solutions. You will be responsible for designing and scaling Generative AI systems, including large language model (LLM) applications and intelligent research agents, while integrating responsible AI principles and top-tier MLOps practices. As a Senior AI/ML Engineer, you will play a key role in building scalable AI/ML functionalities using Databricks and other advanced tools across Guidepoint’s suite of offerings. The Technology team at Guidepoint thrives on solving complex problems and enhancing user experiences. In alignment with our mission to make individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, our engineering team is tackling challenges to refine internal application architectures and develop new AI-enabled products that optimize our service delivery. This is a hybrid position based in Toronto.
Klue develops competitive intelligence tools that help organizations turn information into actionable insights. The team is expanding its Engineering group in Toronto, with a focus on practical AI applications that support insight generation. Role overview The AI Software Engineer will work on developing and refining large language model (LLM)-powered agents. This position centers on building systems for reasoning, planning, and workflow automation, as Klue advances its approach to generating insights. The work involves hands-on development with modern AI technologies, especially for those with strong backend and machine learning experience. Key responsibilities Design retrieval-augmented generation (RAG) systems to improve query understanding, document retrieval, and response synthesis using agentic workflows. Build and optimize retrieval pipelines, including BM25, dense retrieval, hybrid retrieval, and re-ranking methods. Create evaluation frameworks for retrieval and generation, focusing on offline metrics such as recall, MRR, nDCG, and human-in-the-loop assessments. Experiment with query rewriting, expansion, and classification to enhance retrieval relevance. Collaborate with Product teams to launch machine learning-powered search agents in production settings. Monitor, debug, and optimize latency, accuracy, and scalability for retrieval and generation components. Contribute to the design and implementation of data pipelines for training retrieval and ranking models, including dataset curation, augmentation, and labeling workflows. Stay current with new developments in LLMs, retrieval strategies, and agent architectures, and assess their relevance for Klue’s systems. Requirements Experience in software engineering. Familiarity with information retrieval systems, search relevance, and ranking models. Strong background in machine learning and backend technologies. Ability to work well within a team.
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.
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 Palona as an AI Software Engineer and unleash your potential in a dynamic startup environment. We are looking for a talented individual with a strong background in developing comprehensive, end-to-end AI products from the ground up. In this role, you will have the opportunity to design, develop, and deploy autonomous AI systems, taking them from initial concept through to production. Ideal candidates are quick learners who thrive on challenges and have successfully delivered AI solutions independently in fast-paced, resource-constrained settings.Key Responsibilities Develop and ship sophisticated end-to-end AI products and intelligent agents from inception to deployment. Design autonomous systems and multi-agent frameworks that address intricate challenges. Focus on the reliability and performance of deployed AI agents. Rapidly prototype and refine AI solutions in an agile startup environment. Assume full ownership of projects and drive them to successful completion with minimal oversight. Integrate cutting-edge AI models (such as LLMs and computer vision technologies) into production-grade applications.
Rivian and Volkswagen Group Technologies brings together two major automotive leaders, working side by side to shape the future of mobility. The partnership focuses on advancing operating systems, zonal controllers, and cloud connectivity, all while addressing the unique challenges of electric vehicles. The goal is to push the boundaries of software-defined vehicles on a global scale. By combining expertise in connectivity, AI, and security, the team aims to create a more connected, intelligent, and sustainable future for drivers everywhere. Role overview The Lead AI Engineer / Technical Lead Manager will drive the technical strategy and execution for LLM and Agentic Systems projects. This work centers on merging cloud-based intelligence with embedded system performance. The role involves leading a skilled team of engineers and overseeing the development, improvement, and deployment of advanced AI models that fuel product innovation. As a 'player-coach', this leader will balance deep architectural work, such as optimizing models for edge hardware, with hands-on team management. The expectation is to deliver scalable, production-ready AI solutions that directly support core product goals.
OverviewThe Senior Solutions Engineer will be responsible for cultivating and managing technical relationships with potential sales prospects. This role focuses on promoting cutting-edge AI and machine learning operations and data infrastructure to a diverse audience, including C-level executives, individual contributors, and engineers.In collaboration with the sales team, you will provide technical support to customers, deliver engaging presentations, lead the design of integration architectures, and contribute to the development of new accounts.
About the Role Okta is building trusted identity infrastructure for the era of AI. As Senior Product Manager for AI Agents, based in Toronto, this role focuses on shaping how organizations manage identity, permissions, and auditability for AI-driven agents and workflows. What You Will Do Drive the vision and development of "Okta for AI Agents," a new product area at the intersection of Identity, Security, and Artificial Intelligence. Define authentication, authorization, and governance models for AI agents acting on behalf of people and organizations. Work with advanced technologies, including Agent-to-Agent connectivity, MCP servers, and autonomous agents. Collaborate across engineering, design, and go-to-market teams to deliver secure, scalable solutions for automated workflows. Contribute to a product that addresses real-world challenges in AI security and identity management. Who We’re Looking For Experience leading product initiatives in fast-moving environments. Strong interest in the convergence of identity, security, and artificial intelligence. Ability to solve complex problems with practical solutions. Comfort working hands-on and influencing cross-functional teams. Motivation to deliver high-quality results with real-world impact. Location This position is based in Toronto, Ontario, Canada.
Join Deep Genomics as a Senior MLOps Engineer, where you will play a pivotal role in deploying and optimizing machine learning models for groundbreaking applications in genomics. You'll collaborate with multidisciplinary teams to enhance our AI-driven platform, ensuring robust and scalable solutions in a fast-paced environment.
Join Cohere as a Senior Software Engineer, specializing in Agent Infrastructure. In this role, you will lead the design and implementation of robust software solutions that enhance our agent infrastructure capabilities. Collaborate with cross-functional teams to drive innovation and optimize our systems for performance and scalability.
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 …
Role overview Stripe is hiring a Machine Learning Engineer in Toronto to help improve the support experience for users. This role centers on applying advanced machine learning methods to make customer interactions smoother and support operations more efficient. What you will do Work with cross-functional teams to design and build solutions that strengthen Stripe’s user support systems. Apply machine learning to real-world support challenges, aiming to improve both customer satisfaction and operational efficiency. Contribute to Stripe’s broader goal of growing the GDP of the internet by making support more effective. Location This position is based in Toronto, Canada.
Role Overview Paytm is hiring a Staff AI Platform Engineer in Toronto, Canada, with a focus on Inference and Agentic Systems. This role centers on designing and improving AI-powered platforms that support intelligent, agent-like features for users and business applications. What You Will Do Work with a skilled team to build and refine AI solutions that support agentic behaviors and inference-driven capabilities. Apply experience in machine learning, software engineering, and system architecture to develop and scale reliable AI platforms. Contribute technical leadership and hands-on expertise to projects that advance Paytm’s AI offerings. Key Skills Deep knowledge of machine learning and inference methods Strong background in software engineering Experience designing and maintaining complex system architectures
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.
Full-time|CA$130K/yr - CA$165K/yr|Hybrid|Toronto, ON | Hybrid
NetBrain Technologies Inc., established in 2004, develops no-code network automation solutions. The company’s Next-Gen platform supports IT operations teams in managing complex hybrid multi-cloud networks. Features include automated troubleshooting, proactive outage prevention, and secure change management. Over 2,500 enterprises and managed service providers use NetBrain’s technology to improve network operations. Role overview The Senior AI Engineer will design and implement production-ready agent and Retrieval-Augmented Generation (RAG) systems for intelligent automation within the NetBrain platform. This position combines hands-on engineering with architectural planning, focusing on building scalable, observable, and reliable systems in a live environment. The work involves moving quickly from prototypes to deployed solutions, working through ambiguity, and maintaining high standards for quality and safety. Key responsibilities Design and develop core agent platform features, including orchestration patterns such as ReAct and Plan-and-Execute, tool execution layers, memory and context management, and safety controls. Build reusable agent skills and create a standardized tool ecosystem tailored to the platform’s needs. Location This role is based in Toronto, ON, with a hybrid work arrangement.
Full-time|CA$168K/yr - CA$231K/yr|On-site|Toronto, ON
About FaireFaire is a revolutionary online wholesale marketplace founded on the principle that the future belongs to local. Independent retailers across the globe generate more revenue than giants like Walmart and Amazon combined. However, they often struggle against these massive entities. At Faire, we harness the power of technology, data, and machine learning to connect this vibrant community of entrepreneurs worldwide. Think of your favorite local boutique; we empower them to discover exceptional products from around the globe to showcase in their stores. With the right insights and tools, we aim to level the playing field, enabling small businesses to compete effectively with larger e-commerce platforms.By fostering the growth of independent businesses, Faire is creating a positive economic ripple effect in local communities globally. We are in search of intelligent, resourceful, and passionate individuals to join us and champion the shop local movement. If you resonate with our commitment to community, we invite you to be part of ours.About this RoleAt Faire, we utilize cutting-edge machine learning and data insights to transform the wholesale sector, empowering local retailers to take on competitors like Amazon and big box stores. Our Data Science team is pivotal in designing and maintaining a diverse array of algorithms and models that drive our marketplace. We are focused on developing machine learning models that enable our customers to thrive.As a vital member of the Brand Data Science team dedicated to Listing Quality, your primary responsibility will be to enhance the quality of product listings, ensuring retailers can efficiently find and evaluate products on Faire. You will employ ML and AI to address significant challenges, including improving image and text quality, extracting structured product attributes, and accurately identifying duplicates and product variants. Utilizing deep learning, multi-modal LLMs, and human-in-the-loop training, you will create high-performance solutions. This is a rapidly evolving space, and you will be at the forefront of applying the latest technology to drive meaningful real-world impact. You will independently design and implement solutions while collaborating with the cross-functional Listing Quality pod, which includes product, design, engineering, analytics, and operations teams, to resolve challenges comprehensively.
Join RAVL, a leading boutique technology advisory and engineering firm dedicated to transforming the financial services sector. Our mission is to empower clients by maximizing their technology investments and delivering measurable ROI. We are expanding our engineering team and seeking talented Machine Learning Platform Engineers to architect and implement scalable ML solutions for our diverse clientele. Your expertise will be vital in developing cloud-native ML infrastructures, enhancing MLOps capabilities, and facilitating comprehensive model lifecycle management in enterprise settings. This position addresses immediate project demands and anticipates future hiring needs, with an emphasis on constructing robust, production-ready ML systems at scale.
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.
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.
About MagicalMagical is an innovative automation platform that integrates cutting-edge AI technology into the healthcare sector, providing AI agents capable of functioning effectively in real-world settings.Our mission is to create 'AI employees' that streamline tedious and time-consuming processes, specifically in healthcare—a massive $4 trillion industry laden with administrative burdens. We focus on automating critical tasks such as claims processing, prior authorizations, and eligibility checks, allowing healthcare professionals to dedicate more time to patient care.Our AchievementsAs pioneers in the transition to agentic automation in healthcare, we have achieved significant traction:Dramatic revenue growth with clients expanding into new workflows ahead of contract renewals.Rapid proof-of-concepts completed in just 7 days, delivering tangible value in an industry where similar timelines typically span months.Self-repairing automations with production-level reliability at scale, outperforming competitors who struggle to launch functional solutions.Unlike many AI firms that make grand promises, we provide dependable solutions that yield measurable outcomes. Our backing includes notable investors such as Greylock, Coatue, and Lightspeed, with a total funding of $41M. Our founder, Harpaul Sambhi, is a seasoned entrepreneur who previously sold his first company to LinkedIn.Role OverviewIn your role as a Senior Backend Engineer on the Agent Platform team, you will develop the core systems that drive our AI agents—covering aspects from orchestration and state management to model integration and evaluation pipelines. This position is centered around platform engineering, focusing on building the infrastructure that empowers our team to deliver reliable, production-grade agentic automation.You will work at the forefront of multi-agent systems, designing collaborative strategies for agents to tackle complex healthcare workflows. You will take ownership of essential backend services, overseeing them from architecture to deployment while developing verification systems that ensure our agents perform accurately every time.This hybrid position requires you to be onsite in our Toronto office two days each week.
Overview: Join Guidepoint as a skilled Data/AI Engineer and become a vital part of our innovative AI team in Toronto. Our Technology Hub is at the forefront of developing a modern data infrastructure that empowers advanced analytics and promotes responsible AI practices. This strategic initiative is crucial to Guidepoint's vision of harnessing cutting-edge Generative AI and analytical capabilities to enhance our Next-Gen research enablement platform and data-driven products. This role requires remarkable leadership and technical expertise to propel the creation of next-generation research enablement platforms and AI-enhanced data solutions. You will be responsible for designing and scaling Generative AI systems, including large language model (LLM) applications and intelligent research agents, while integrating responsible AI principles and top-tier MLOps practices. As a Senior AI/ML Engineer, you will play a key role in building scalable AI/ML functionalities using Databricks and other advanced tools across Guidepoint’s suite of offerings. The Technology team at Guidepoint thrives on solving complex problems and enhancing user experiences. In alignment with our mission to make individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, our engineering team is tackling challenges to refine internal application architectures and develop new AI-enabled products that optimize our service delivery. This is a hybrid position based in Toronto.
Klue develops competitive intelligence tools that help organizations turn information into actionable insights. The team is expanding its Engineering group in Toronto, with a focus on practical AI applications that support insight generation. Role overview The AI Software Engineer will work on developing and refining large language model (LLM)-powered agents. This position centers on building systems for reasoning, planning, and workflow automation, as Klue advances its approach to generating insights. The work involves hands-on development with modern AI technologies, especially for those with strong backend and machine learning experience. Key responsibilities Design retrieval-augmented generation (RAG) systems to improve query understanding, document retrieval, and response synthesis using agentic workflows. Build and optimize retrieval pipelines, including BM25, dense retrieval, hybrid retrieval, and re-ranking methods. Create evaluation frameworks for retrieval and generation, focusing on offline metrics such as recall, MRR, nDCG, and human-in-the-loop assessments. Experiment with query rewriting, expansion, and classification to enhance retrieval relevance. Collaborate with Product teams to launch machine learning-powered search agents in production settings. Monitor, debug, and optimize latency, accuracy, and scalability for retrieval and generation components. Contribute to the design and implementation of data pipelines for training retrieval and ranking models, including dataset curation, augmentation, and labeling workflows. Stay current with new developments in LLMs, retrieval strategies, and agent architectures, and assess their relevance for Klue’s systems. Requirements Experience in software engineering. Familiarity with information retrieval systems, search relevance, and ranking models. Strong background in machine learning and backend technologies. Ability to work well within a team.
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.
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 Palona as an AI Software Engineer and unleash your potential in a dynamic startup environment. We are looking for a talented individual with a strong background in developing comprehensive, end-to-end AI products from the ground up. In this role, you will have the opportunity to design, develop, and deploy autonomous AI systems, taking them from initial concept through to production. Ideal candidates are quick learners who thrive on challenges and have successfully delivered AI solutions independently in fast-paced, resource-constrained settings.Key Responsibilities Develop and ship sophisticated end-to-end AI products and intelligent agents from inception to deployment. Design autonomous systems and multi-agent frameworks that address intricate challenges. Focus on the reliability and performance of deployed AI agents. Rapidly prototype and refine AI solutions in an agile startup environment. Assume full ownership of projects and drive them to successful completion with minimal oversight. Integrate cutting-edge AI models (such as LLMs and computer vision technologies) into production-grade applications.
Rivian and Volkswagen Group Technologies brings together two major automotive leaders, working side by side to shape the future of mobility. The partnership focuses on advancing operating systems, zonal controllers, and cloud connectivity, all while addressing the unique challenges of electric vehicles. The goal is to push the boundaries of software-defined vehicles on a global scale. By combining expertise in connectivity, AI, and security, the team aims to create a more connected, intelligent, and sustainable future for drivers everywhere. Role overview The Lead AI Engineer / Technical Lead Manager will drive the technical strategy and execution for LLM and Agentic Systems projects. This work centers on merging cloud-based intelligence with embedded system performance. The role involves leading a skilled team of engineers and overseeing the development, improvement, and deployment of advanced AI models that fuel product innovation. As a 'player-coach', this leader will balance deep architectural work, such as optimizing models for edge hardware, with hands-on team management. The expectation is to deliver scalable, production-ready AI solutions that directly support core product goals.
OverviewThe Senior Solutions Engineer will be responsible for cultivating and managing technical relationships with potential sales prospects. This role focuses on promoting cutting-edge AI and machine learning operations and data infrastructure to a diverse audience, including C-level executives, individual contributors, and engineers.In collaboration with the sales team, you will provide technical support to customers, deliver engaging presentations, lead the design of integration architectures, and contribute to the development of new accounts.
About the Role Okta is building trusted identity infrastructure for the era of AI. As Senior Product Manager for AI Agents, based in Toronto, this role focuses on shaping how organizations manage identity, permissions, and auditability for AI-driven agents and workflows. What You Will Do Drive the vision and development of "Okta for AI Agents," a new product area at the intersection of Identity, Security, and Artificial Intelligence. Define authentication, authorization, and governance models for AI agents acting on behalf of people and organizations. Work with advanced technologies, including Agent-to-Agent connectivity, MCP servers, and autonomous agents. Collaborate across engineering, design, and go-to-market teams to deliver secure, scalable solutions for automated workflows. Contribute to a product that addresses real-world challenges in AI security and identity management. Who We’re Looking For Experience leading product initiatives in fast-moving environments. Strong interest in the convergence of identity, security, and artificial intelligence. Ability to solve complex problems with practical solutions. Comfort working hands-on and influencing cross-functional teams. Motivation to deliver high-quality results with real-world impact. Location This position is based in Toronto, Ontario, Canada.
Join Deep Genomics as a Senior MLOps Engineer, where you will play a pivotal role in deploying and optimizing machine learning models for groundbreaking applications in genomics. You'll collaborate with multidisciplinary teams to enhance our AI-driven platform, ensuring robust and scalable solutions in a fast-paced environment.
Join Cohere as a Senior Software Engineer, specializing in Agent Infrastructure. In this role, you will lead the design and implementation of robust software solutions that enhance our agent infrastructure capabilities. Collaborate with cross-functional teams to drive innovation and optimize our systems for performance and scalability.
