Staff Machine Learning Engineer - General AI, ML & Big Data

Join Xsolla as a Lead AI/ML Engineer where you will be pivotal in architecting and enhancing our data infrastructure for personalization, churn prediction, and recommendation systems across our global gaming commerce platform. You will spearhead the design and optimization of machine learning algorithms using Vertex AI, create scalable data pipelines from diverse sources, and implement best practices for data quality, governance, and performance. This role merges hands-on technical leadership with collaborative cross-functional efforts, mentoring engineers, and partnering closely with data science and backend teams to deploy ML features. Reporting directly to the Director of Data Platforms, you will translate business requirements into innovative technical solutions, significantly shaping our data mesh architecture while ensuring compliance, scalability, and operational excellence as we support game developers globally.

BPM is a company where compassion and community are woven into our DNA. We are committed to continuously improving ourselves and fostering innovation through inquiry. Joining BPM means leveraging your unique experiences, expanding your skill set, and achieving your fullest potential in both your professional and personal life while positively impacting clients, colleagues, and the community. Our entrepreneurial spirit encourages us to innovate and approach challenges from fresh perspectives. At BPM, we value people, ensuring everyone feels appreciated and part of a larger mission. Because People Matter.BPM actively welcomes applications from individuals with disabilities. Accommodations are readily available upon request for candidates participating in all aspects of the selection process. What We Offer:Comprehensive rewards package: Enjoy flexible work arrangements and competitive benefits that prioritize your health and well-being, including coverage for dependents.Well-being initiatives: Access an interactive wellness platform, employee assistance programs, mental health resources, and Colleague Resource Groups (CRGs) that create safe environments for colleagues to connect, share, and feel valued.Work-life balance and flexibility: Benefit from at least 14 Firm Holidays, including relevant provincial statutory holidays and 2 floating days, Flex PTO, supplemental top-up for eligible statutory leaves, a winter break, summer hours, and remote working options, allowing you to challenge yourself while taking care of your well-being.Professional growth opportunities: Experience a culture of learning with CPA exam resources and bonuses, support for professional memberships/certifications, a coaching program, and live classes, workshops, and seminars through BPM University. Who Thrives at BPM:· Caring individuals who prioritize the needs of others.· Self-motivated professionals who embody the entrepreneurial spirit of BPM.· Authentic voices with diverse perspectives.· Lifelong learners driven to achieve excellence.· Resilient individuals who meet challenges head-on.Position Overview:We are looking for an AI/ML Engineer to join BPM’s Enterprise Technology Solutions team. This role is ideal for a builder—someone who is not only experimenting with AI but is also instrumental in implementing it effectively within the firm at scale. You will harness AI tools...

Join Our Innovative TeamAdaptive ML is at the forefront of AI technology, crafting a state-of-the-art Reinforcement Learning Operations (RLOps) platform. Our mission is to empower enterprises to specialize and deploy large language models (LLMs) in production to achieve significant outcomes.We are the backbone for tuning, evaluating, and serving specialized models at scale, revolutionizing task-specific LLM development. Our infrastructure supports production-ready workflows that handle millions of requests efficiently while optimizing for performance and cost across distributed systems.Our cohesive team has previously contributed to the development of leading open-access large language models. Having secured a $20M seed funding from Index Ventures and ICONIQ in early 2024, we are already operational, serving clients such as Manulife, AT&T, and Deloitte in the travel and financial sectors, with more partnerships on the horizon.The Product Staff at Adaptive ML is dedicated to translating our advanced technology into exceptional products that address the challenges faced by companies in their generative AI deployments. We are committed to creating a high-quality, user-friendly, and resilient experience for our clients.Your RoleAs a DevOps Engineer within our Product Staff, you will play a crucial role in packaging our technology into exceptional products that enhance generative AI experiences through deeper personalization via reinforcement learning. It is essential that our technology remains transparent, addressing the real challenges faced by companies without imposing additional complexities.Your responsibilities will encompass all DevOps aspects, from systematic deployment to scaling production databases and supporting internal workloads. Expect to tackle challenges like coordinating complex GPU infrastructure and managing the storage of user interactions, which can reach trillions of records, all while ensuring robustness.We seek passionate individuals who are self-motivated and eager to contribute to a highly technical product that emphasizes robustness, accessibility, and responsiveness. Being an early member of our team means you'll have the opportunity to significantly influence our product as we expand.This position is ideally in-person at our offices in New York or Toronto, but we are also open to fully remote candidates.

Grafana Labs stands as a beacon of innovation in the realm of open-source software, proudly boasting over 20 million users globally. Our flagship product, the Grafana visualization tool, empowers individuals and organizations to monitor a diverse array of systems, from ecological phenomena to advanced technological infrastructures. Our visually striking dashboards have gained recognition in prestigious venues such as NASA, Minecraft HQ, Wimbledon, and the Tour de France. We proudly serve over 3,000 organizations, including industry giants like Bloomberg, JPMorgan Chase, and eBay, in managing their observability strategies through our Grafana LGTM Stack, which can be utilized either fully managed through Grafana Cloud or self-managed with the Grafana Enterprise Stack, both incorporating scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).As we scale rapidly, we remain committed to our core values: a legacy of open-source development, a culture that fosters global collaboration, and a dedication to impactful work. Our team flourishes in an environment driven by transparency, autonomy, and trust.If you find this role intriguing despite not meeting every qualification, we encourage you to apply and explore what could be a career-defining opportunity.This is a remote position, and we are currently considering applicants from Canada time zones only.

Join Grafana Labs, a leading remote-first, open-source innovator with over 20 million users worldwide leveraging our visualization tool to monitor everything from beehives to climate change. Our distinctive dashboards have been showcased at major events, from NASA launches to the Tour de France. Serving over 3,000 companies, including Bloomberg, JPMorgan Chase, and eBay, we empower them to manage observability strategies through the Grafana LGTM Stack, which can be fully managed via Grafana Cloud or self-managed using the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).As we rapidly scale, we remain committed to our core values: an open-source legacy, a collaborative global culture, and a passion for impactful work. Our team flourishes in an innovation-driven environment where transparency, autonomy, and trust are paramount.If you're excited about this role, don't hesitate to apply even if you don't meet every requirement—this could be a transformative step in your career.This position is remote, and we are currently considering applicants from Canada time zones only.Staff AI EngineerThe Opportunity:At Grafana, we develop observability tools that enable users to understand, respond to, and enhance their systems, irrespective of scale or complexity. The Grafana AI teams are integral to this mission, utilizing AI-driven features to help users interpret complex observability data. These capabilities minimize toil, lower the domain expertise barrier, and highlight significant signals in noisy environments.What sets our team apart is our unique approach: we emphasize autonomy and ownership at both individual and team levels. Engineers are encouraged to make decisions, rapidly prototype, and validate ideas early, all within a highly collaborative culture that values curiosity, constructive feedback, and cross-functional collaboration.We seek an AI Software Engineer with a robust software engineering background, a mindset geared towards quick iterations, and a passion for experimentation. This should be complemented by a focus on delivering and scaling impactful features that bring real value to our users.

Senior AI/ML EngineerLocation: Ottawa, ON | Hybrid Department: EngineeringReports To: Eugenia Kondratova, Senior Technical Manager, AIType: Full-Time | PermanentVacancy Status: This is an active role and we are currently hiring for this position.About SolinkAt Solink, we are dedicated to protecting what matters most. Our mission is to empower businesses with real-time operational insights by transforming video security. Our innovative cloud-based platform seamlessly integrates with existing camera systems, turning them into intelligent sensors that detect and interpret critical moments. This enables teams to make informed, data-driven decisions, thereby enhancing security and operational efficiency.With over 30,000 locations in more than 32 countries, including well-known brands such as McDonald's and JYSK, Solink provides clarity when it is most needed. Our solutions assist businesses in minimizing shrinkage, optimizing their operations, and proactively addressing emerging threats.We are experiencing rapid growth and have received accolades from Deloitte’s Fast 50™ and Fast 500™ and recognition as one of Ottawa’s Best Places to Work. We are just getting started!The RoleAs a Senior AI/ML Engineer at Solink, you will be responsible for designing, building, and deploying comprehensive machine learning solutions that drive our next generation of video analytics and operational intelligence. Your work will span research, model development, software engineering, and production integration, where you will own features that deliver significant value to our customers in both cloud and edge environments.This position is perfect for individuals who excel in fast-paced environments, relish tackling complex technical challenges, and are driven by the opportunity to deliver reliable, scalable ML-powered features used in high-demand, real-world applications.What You’ll DoDesign, develop, train, and deploy ML models—including computer vision, LLMs/VLMs, and multimodal models—across cloud and edge/embedded environments.Own ML-driven features end-to-end: from proof of concept and experimentation to integration, deployment, instrumentation, and continuous improvement.Evaluate and integrate third-party AI/LLM/VLM services, balancing cost, performance, and scalability.

Join our innovative team at Eleks as an AI/ML Architect, where you will pioneer cutting-edge machine learning solutions. In this role, you will leverage your expertise in artificial intelligence and machine learning to design and implement robust architectures that drive our projects forward. You will collaborate with cross-functional teams to identify and solve complex problems, ensuring that our AI systems meet the highest standards of performance and reliability.

About Our TeamAdaptive ML is an innovative AI startup specializing in the development of a Reinforcement Learning Operations (RLOps) platform designed to empower enterprises to tailor large language models for their specific needs, ensuring reliable deployment into production workflows with quantifiable results.Our Success team plays a pivotal role within our Technical Staff. While the Technical Staff focuses on developing the core technology that drives Adaptive ML, the Success team is dedicated to helping our enterprise clients maximize the value of these technologies, particularly through our Adaptive Engine product. Adaptive Engine enables businesses to construct, evaluate, and deploy the most effective models tailored to their unique requirements. Our founding team has previously collaborated on creating state-of-the-art open large language models. Following a successful $20M seed funding round led by Index Ventures and ICONIQ in early 2024, we are actively working with our first enterprise customers, including Manulife, AT&T, Deloitte, and more to be announced soon.About the RoleAs an AI Engineer (Pre-Sales) at Adaptive ML, you will serve as the technical liaison for our sales team, assisting potential clients in understanding how the Adaptive Engine can address their most challenging issues. Your role will involve crafting and presenting impactful demonstrations, guiding customers through proof of concepts, and creating technical proposals that underscore the unique advantages of our platform and reinforcement learning capabilities.This role is distinctly technical, offering you the chance to engage hands-on with the Adaptive Engine—developing demos, fine-tuning large language models, and initiating pilots that transition prospects into clients. Additionally, you will contribute to shaping the product roadmap by identifying and articulating customer needs and insights.Please note: This is an in-person position based in our Toronto or New York offices.Your ResponsibilitiesCollaborate with the sales team to engage prospects, identifying business challenges and aligning them with Adaptive ML solutions.Design and present engaging technical demonstrations tailored to the specific use cases of customers.Lead and oversee proof-of-concept (POC) initiatives and pilots, ensuring technical success and achieving clear business objectives.Create prototype pipelines and fine-tuned large language models using the Adaptive Engine to illustrate production-ready solutions.

Join SurveyMonkey, the leading platform for surveys and forms, designed for businesses and cherished by users. Our innovative technology merges intuitive design with robust functionalities, catering to diverse applications from customer satisfaction assessments to employee feedback, market analysis, and event registrations. With integrated research expertise and AI-enhanced capabilities, it’s like having a team of expert analysts at your disposal.Renowned for our reliability, SurveyMonkey empowers millions—from startups to Fortune 500 companies—to harness insights that fuel informed decision-making, foster engaging experiences, and propel business success. Explore more at surveymonkey.com.What We Are Looking ForSurveyMonkey is transforming the way insights are gathered by integrating AI into the survey process. This pivotal role will significantly impact building the platform and product features that facilitate AI-driven functionalities. Your leadership will directly shape user interactions with our product and open up new avenues for organizations to collect and utilize feedback. In this position, you will report to the Senior Director of Product Management and collaborate closely with engineering, AI/ML, design, and data science teams to realize this vision.Key ResponsibilitiesCollaborate with product leadership to define AI and agentic features that enhance the product.Take ownership of the roadmap for essential components of the AI platform, including orchestration layers, tool/action frameworks, context management, and evaluation pipelines.Work in tandem with AI/ML, platform engineering, design, and data science teams to deliver scalable solutions that incorporate LLMs, internal APIs, and product workflows.Establish evaluation frameworks and success metrics for AI and agentic functionalities.Define guidelines, reliability standards, and secure execution methods to ensure AI operates predictably within the SurveyMonkey environment.Facilitate alignment across engineering, design, data, GTM, and leadership to launch innovative AI capabilities at scale.We Are Excited to Hear From Candidates Who Have5+ years of product management experience in developing and launching SaaS products.2+ years of experience in launching AI-driven products, particularly those involving generative AI and conversational interfaces.3+ years of defining ML platform capabilities, including model development, integration, evaluation, and deployment.

About the TeamAdaptive ML is an innovative AI startup focused on developing a cutting-edge Reinforcement Learning Operations (RLOps) platform that empowers enterprises to customize and implement large language models (LLMs) in production, yielding measurable results.We deliver essential infrastructure that facilitates the tuning, evaluation, and deployment of specialized models at scale — leading the way in task-specific LLM development and managing production-ready workflows capable of handling millions of requests while optimizing for cost and performance across distributed systems.Our close-knit team has previously contributed to the development of state-of-the-art open-access large language models. In early 2024, we secured a $20M seed round led by Index Ventures and ICONIQ, and we are already operational with clients including Manulife, AT&T, and Deloitte, spanning across travel and financial services — with more partnerships to be announced soon.At Adaptive ML, our Success Team is an integral part of our Technical Staff. The Technical Staff is responsible for developing the foundational technology that drives Adaptive ML, while the Success Team ensures our enterprise clients fully utilize these technologies — particularly through our Adaptive Engine product — to extract maximum value.About the RoleAs a Forward Deployed AI Engineer at Adaptive ML, you will assist our customers in creating scalable production applications utilizing the Adaptive Engine. Our clientele ranges from dynamic scale-ups to established global enterprises, and your mission will be to guide them in maximizing business value while expediting the production timeline. We emphasize bridging the gap from proof-of-concept to production, as numerous generative AI initiatives fall short in delivering clear ROI.By harnessing advanced reinforcement learning technologies, you will aid in the customization of large language models for production readiness. Your responsibilities will include constructing synthetic data pipelines to launch models into production and identifying useful signals for ongoing model refinement utilizing real-world feedback. We seek self-motivated, business-savvy, and driven individuals eager to support the deployment of a highly technical product. As this is an early-stage role, you will have the opportunity to influence our research initiatives and product development as we expand.This is an in-person role located at our Toronto or New York office.

About Torc RoboticsAt Torc Robotics, we are at the forefront of revolutionizing transportation with our autonomous vehicle technology. Since our inception in 2007, we have partnered with leading organizations to commercialize our solutions. Now a proud member of the Daimler family, we focus on developing cutting-edge software for automated trucks, aiming to transform freight movement globally.Join us at Torc Robotics and elevate your career with a pioneering company in autonomous technology, recognized as the first AV software firm to collaborate directly with truck manufacturers.Meet The Team:Our dedicated team empowers machine learning developers across Torc to create advanced autonomous vehicle solutions on a large scale. We oversee the entire ML experimentation lifecycle, from concept creation to model validation and performance comparison, ultimately converting the most effective models into operational truck formats. As we leverage AWS along with Lightning and Ray for distributed ML tasks, we seek a talented Senior ML Engineer to help shape the future of autonomous freight.

About Solink Solink helps businesses turn video security into actionable insights. Our cloud platform connects with existing systems to deliver intelligent detection and interpretation of key events, supporting teams in making decisions that improve security and operations. Solink’s solutions are trusted at more than 30,000 locations in over 32 countries, including well-known brands such as McDonald’s and JYSK. We help customers reduce shrinkage, increase performance, and address threats before they escalate. Recognized by Deloitte’s Fast 50™ and Fast 500™, Solink continues to grow and has been named one of Ottawa’s Best Places to Work. Our team is scaling with purpose as we build on this momentum. Role Overview This Intermediate AI/ML Engineer position is based in our Ottawa office (hybrid model). Reporting to Eugenia Kondratova, Senior Technical Manager AI, this is a permanent, full-time role within the AI department. The role focuses on designing, building, and deploying machine learning solutions that power Solink’s video analytics and operational intelligence products. This is a hands-on, product-driven engineering position: expect to work on research, model development, software engineering, and integrating features into production systems for both cloud and edge deployments. The work spans backend and frontend components, ensuring that advanced ML features reach real users at scale. Solink values engineers who are comfortable in ambiguous situations, enjoy solving technical challenges, and want to see their work deployed in real-world, high-volume environments. What You Will Do Design, develop, train, and deploy machine learning models, covering areas such as computer vision, large language models (LLMs), vision-language models (VLMs), and multimodal models for both cloud and embedded systems. Assess and recommend tools, techniques, and methodologies to strengthen Solink’s AI capabilities.

ShyftLabs delivers data-driven digital products for Fortune 500 clients, working across industries to create measurable business results. Since 2020, the company has grown teams in Canada, the U.S., and India, and values people who turn ambitious ideas into practical solutions. Role overview The Senior AI Engineer position is based in Toronto and focuses on building and deploying AI-powered features in production environments. This is a hands-on engineering role, working closely with Product, Architecture, and other engineering teams to deliver intelligent capabilities for ShyftLabs’ data-centric platforms. The role also involves contributing to the backend infrastructure that supports these products, with an emphasis on scalability and reliability. What you will do Design, build, and deploy AI and machine learning features directly into production systems Work with cross-functional teams to integrate intelligent functionality into new platforms Help develop backend platforms, focusing on scalability and resilience Requirements Significant experience in AI or machine learning engineering Strong skills in backend development Experience with fine-tuning large language model integrations Ability to design resilient APIs or event-driven services

Join Thumbtack as a Software Engineer specializing in AI/ML Infrastructure. In this role, you will contribute to the development and enhancement of innovative AI and machine learning solutions that empower our platform. We are looking for a proactive and collaborative team member who is passionate about technology and eager to tackle complex challenges.

Huawei Canada is seeking a Senior Principal Technical Planning Manager to join our dynamic team.About the Team:The Computing Data Application Acceleration Lab is dedicated to building a premier global data analytics platform through three specialized teams utilizing groundbreaking programming technologies. Our focus is on full-stack innovations, including software-hardware co-design and optimizing data efficiency across storage and runtime layers. We also spearhead the development of next-gen GPU architectures for gaming, cloud rendering, VR/AR, and Metaverse applications. Our mission is to enhance algorithm performance and training efficiency across various industries, ensuring long-term competitiveness.Job Responsibilities:Keep abreast of the latest technology trends and research advancements in AI/ML, producing insightful technology reports.Lead the evaluation and adoption of innovative AI/ML technologies and methodologies.Collaborate with stakeholders to create strategic technical plans and guide cross-functional teams in executing AI/ML projects.Identify and understand pain points and mid-to-long-term requirements, promoting partnerships with local university professors and industry resources for collaborative projects.Spot new investment opportunities and advocate for the expansion of technology teams and increased funding.Cultivate a culture of innovation and continuous improvement within the AI/ML team.

Torc Robotics is seeking an ML Engineer II to support App Engine projects. This position is available in Montreal, Canada, and Ann Arbor, MI. French language proficiency is required for this role. Key responsibilities Design and develop machine learning applications that enhance App Engine features. Collaborate with engineers and other team members to build and improve technical solutions. Apply machine learning expertise to practical challenges in a team environment. Requirements Fluent in French, both spoken and written. Experience building or deploying machine learning models. Comfortable working as part of a technical team. Locations Montreal, Canada Ann Arbor, MI

Please submit your CV in English and include your English proficiency level. This freelance, project-based role focuses on evaluating AI coding agents for Mindrift, in partnership with toloka-ai. The position is open to remote candidates based in Manitoba, Canada. It is not a permanent job, but rather a contract opportunity for skilled professionals interested in shaping how AI systems perform in real-world software development scenarios. Role overview The main responsibility is to help build a dataset that tests AI coding agents in situations modeled after authentic developer workflows. This involves designing complex tasks, setting up evaluation standards, and working within simulated environments that closely resemble actual software development settings. Key responsibilities Construct virtual companies using high-level plans, including realistic codebases, infrastructure, and supporting context such as documentation, conversations, and tickets to create a believable development history. Design and calibrate tasks from different stages of the virtual company, developing prompts and evaluation criteria to ensure tasks are solvable and fairly assessed. Create tasks within isolated environments that simulate a developer's workstation, featuring a Linux system, development tools (terminal, CLI), MCP servers (repository, task tracker, messenger, documentation), and a real web application codebase. Develop tests that accurately distinguish between correct and incorrect solutions, avoiding both overly strict and overly lenient standards. Collaborate with AI agents to verify that tests identify genuine issues, do not miss flawed solutions, and do not fail on valid ones. Review code generated by AI agents, analyze solution outcomes, and design edge cases and adversarial scenarios to strengthen evaluation. Incorporate feedback from expert QA reviewers who assess your work against established quality benchmarks. What this role does not include Data labeling Prompt engineering Writing code from scratch (the AI agent generates most code; your focus is on guidance and evaluation) This position involves frequent collaboration with advanced AI systems. Creating challenging tasks for modern models means staying close to the latest developments in AI technology.

At PointClickCare, our mission is straightforward: to empower healthcare providers in delivering outstanding care. This endeavor begins with our exceptional team. As a premier health technology firm, led by its founder and privately owned, we encourage our employees to challenge norms, innovate, and influence the future of healthcare.With the most extensive long-term and post-acute care dataset and a marketplace of over 400 integrated partners, our platform supports more than 30,000 provider organizations, positively impacting millions of lives. A significant portion of our revenue is reinvested in research and development, equipping our team with the necessary resources to innovate and create lasting change. Recognized by Forbes as a leading private cloud company and celebrated as one of Canada's Most Admired Corporate Cultures, we provide flexibility, opportunities for growth, and meaningful work.At PointClickCare, we enable our team members to be the designers of a smarter healthcare future—one that prioritizes human experiences and is enhanced by AI to foster meaningful and enduring change. Our employees leverage AI as a driving force for creativity, productivity, and informed decision-making. By seamlessly integrating AI tools into our workflows, collaboration is enriched, outcomes are enhanced, and every team member is empowered to maximize their impact. This commitment begins with our hiring process, where we seek AI expertise that aligns with our mission, and continues through our investment in ongoing training and development to foster innovation at every stage of the employee journey.Join us in transforming healthcare to ensure it not only survives but thrives. To learn more about life at PointClickCare, visit Life at PointClickCare and connect with us on Glassdoor and LinkedIn.

Join Our TeamAt Adaptive ML, we are at the forefront of developing a reinforcement learning platform that fine-tunes, evaluates, and serves specialized language models. Our mission is to lead the way in creating task-specific LLMs through synthetic data, establishing the essential tools and products that allow models to self-assess and evolve based on straightforward guidelines. Our Adaptive Engine empowers businesses to forge and deploy the most effective LLMs tailored to their unique needs. With our founders’ expertise in crafting state-of-the-art open LLMs, we proudly secured a $20M seed investment from Index & ICONIQ in early 2024 and are currently engaged with our first enterprise clients, including AT&T and Manulife.Your RoleAs a Business Development Representative (BDR) at Adaptive ML, you will be instrumental in propelling our company’s growth by connecting with potential customers. Acting as the initial point of contact for a diverse range of leads, from innovative startups to major global enterprises, your mission will be to ignite interest, uncover challenges, and lay the groundwork for fruitful partnerships.You will collaborate closely with our Commercial Team to convey the value of Adaptive Engine and demonstrate how our innovative reinforcement learning technology can enhance generative AI adoption and drive tangible business outcomes. Your efforts will be crucial in guiding prospects from initial interest to pilot discussions and beyond.We seek motivated, inquisitive, and resourceful individuals who thrive on the challenge of introducing complex technical products to new markets. As an early member of our go-to-market team, you will have the chance to influence our sales strategy and play a key role in our company’s expansion. This position is based in-person at our offices in Toronto or New York.Key ResponsibilitiesLead top-of-funnel outreach to cultivate new qualified leads through cold emails, phone calls, and LinkedIn interactions;Conduct research to identify ideal customer profiles (ICPs) and target accounts across strategic sectors;Work closely with founders and GTM leadership to enhance messaging, outreach tactics, and campaign effectiveness;Utilize tools, automation, and processes to scale and optimize outbound lead generation;Monitor outreach metrics and provide insights to refine strategy and iterate on successful approaches;