Machine Learning Engineer Jobs in Toronto, USA

Amazon Customer Service is transforming how we deliver exceptional experiences to millions of customers worldwide, and we're seeking a Machine Learning Engineer to help build the next generation of intelligent solutions. In this role, you'll design and implement features within scalable systems that empower team managers and associates to deliver their best work every day. You'll work with generative AI and modern cloud technologies to build solutions that help thousands of team managers provide meaningful, data-driven coaching while giving associates clear visibility into their personal impact on customer experience.<br/><br/>This is an opportunity to work on systems that operate at Amazon scale, processing vast amounts of data and translating complex signals into actionable information for stakeholders ranging from frontline associates to senior leadership. You'll build components that balance sophisticated analytics with intuitive user experiences, ensuring that insights are accessible and actionable for users with varying technical backgrounds. Your work will directly influence how we develop talent, recognize excellence, and continuously raise the bar for customer service quality across the organization.<br/><br/>Key job responsibilities<br/>- Design and deliver features end-to-end, from technical design through production deployment and operational support<br/>- Build components within scalable architectures that process customer interaction data, applying generative AI techniques to surface meaningful patterns and personalized insights<br/>- Contribute to architectural decisions that balance innovation with operational excellence<br/>- Participate actively in code reviews, raising the quality bar for yourself and your teammates<br/>- Write clear technical documents including design proposals, operational runbooks, and post-incident reviews<br/>- Integrate emerging technologies, particularly generative AI and large language models, into production systems with guidance from senior engineers<br/>- Design and implement APIs and data models that support extensibility and long-term growth<br/>- Build monitoring and alerting to ensure the reliability of the systems you own<br/>- Collaborate with product managers, UX designers, and business stakeholders to translate requirements into well-scoped technical solutions<br/>- Identify and drive improvements to engineering processes, tooling, and operational practices within the team<br/><br/>A day in the life<br/>Throughout the day, you'll focus on hands-on development of features and systems that shape how associates and managers understand their personal impact on customer satisfaction, while giving leadership insights into the quality of customer service we provide each day.<br/><br/>Your morning might start with a quick win, like prototyping a GenAI agent to gather immediate feedback on a proposed solution. You'll discuss your approach with teammates and your tech lead to validate the design. In the afternoon, you attend a Lunch and Learn to stay on top of new emerging technology, before tackling a challenging problem with your peers.<br/><br/>About the team<br/>Engineers are empowered to build. Our team values a collaborative atmosphere that celebrates rapid innovation and meaningful impact. You'll find a culture of psychological safety where asking questions is encouraged, experimentation is valued, and learning from failures drives continuous improvement. We are deeply invested in your personal growth through peer collaboration and regular career development discussions. Mentorship flows in all directions, where senior engineers guide technical decisions while learning fresh perspectives from newer team members. You will have the ability to make an impact on the associates and managers who use our tools and the millions of customers they support.

“Make every logistics journey your best one yet” The Company. Founded in 2014, Quincus is a B2B supply chain operating SaaS platform headquartered in Singapore. We solve today's global supply chain challenges with groundbreaking technology. Using AI and machine learning, we have digitized and optimized the logistics process while giving customers full transparency into their supply chain.    Quincus was founded by two visionary entrepreneurs who possess more than a decade of experience in tech. Chief Product Officer Katherina-Olivia Lacey is leading a tech revolution in this space while empowering women in the supply chain industry. Jonathan E. Savoir, Chief Executive Officer, appeared on Forbes' 30 Under 30 Asia List in 2020, and also serves on the boards of several startups.   Overview. Quincus Research is building the next generation of intelligent systems for all Quincus products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Quincus Research teams collaborate closely with other teams across Quincus, maintaining the flexibility and versatility required to adapt new projects and focuses that meet the demands of the world's fast-paced business needs.  Job Overview.  We are looking for a highly motivated and experienced machine learning engineer to join our team and help us develop and deploy deep learning and reinforcement learning algorithms at scale. As a machine learning engineer, you will be responsible for designing and implementing scalable systems for serving models, optimizing inference performance, and managing production workflows.  Responsibilities:  - Design and implement scalable systems for serving deep learning and reinforcement learning models. - Optimize inference performance of deep learning and reinforcement learning models using techniques such as quantization, pruning, and distillation. - Utilize GPU computing to accelerate model training and inference. - Develop and deploy production workflows for training and serving machine learning models. - Collaborate with data scientists and software engineers to design and implement machine learning systems. - Monitor and improve the performance of machine learning models in production. - Stay up-to-date with the latest research and techniques in deep learning and reinforcement learning.  Qualifications: - Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. - 3+ years of experience in software engineering or machine learning engineering. - Strong programming skills in Python (C++ or Java a plus) - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Experience with GPU programming using CUDA, OpenCL, or similar libraries. - Experience with distributed systems and cloud computing platforms such as Kubernetes, Docker, GCP, and AWS.  Preferred Qualifications:  - Ph.D. in Computer Science, Electrical Engineering, or a related field. - 5+ years of experience in software engineering or machine learning engineering. - Experience with reinforcement learning algorithms and frameworks. - Experience with production deployment of machine learning models and implementation of APIs for big data. - Strong understanding of computer architecture and performance optimization. - Strong communication and collaboration skills.  If you are passionate about developing and deploying machine learning algorithms at scale, and want to join a dynamic team working on cutting-edge technology, we encourage you to apply for this position.

About Boson AI: At Boson AI, we are not just building AI solutions; we are pioneering the future of enterprise AI. Driven by a passion for cutting-edge AI research, particularly in the transformative areas of large language models and agentic systems, our mission is to tackle the most complex real-world problems for businesses and unlock significant value. We are a dynamic and collaborative team of researchers and engineers who thrive on pushing the boundaries of what's possible, dedicated to delivering high-quality, reliable products that seamlessly integrate into the fabric of enterprise workflows and set new industry standards.   About the Role: We are seeking a skilled, detail-oriented, and passionate Machine Learning Engineer to join our enterprise team. In this pivotal role, you will be at the forefront of developing and deploying groundbreaking AI solutions. This involves integrating advanced language/voice/vision models, mastering fine-tuning techniques, building sophisticated workflows and platforms, and pioneering innovative agentic approaches. You will immerse yourself in challenging problems that demand a deep understanding of model behavior, meticulous implementation, and an unwavering commitment to quality and reliability in enterprise environments. A key and exciting aspect of this role is contributing to the architecture and implementation of intelligent systems where AI agents can perform complex tasks autonomously, interacting with diverse data sources and tools, as we collectively move towards building truly cohesive and powerful AI capabilities for our clients.