Senior Lead Machine Learning Engineer, Agentic AI

Join Upwork Inc., a global leader in connecting businesses with AI-enabled talent, as a Senior Lead Machine Learning Engineer. In this pivotal role, you will architect and scale the future of agentic intelligence, leading the end-to-end development of AI agents and their underlying platform. From training and evaluating large language models to ensuring runt…

About Us Nubank stands as one of the largest digital financial platforms globally, serving over 127 million customers across Brazil, Mexico, and Colombia. With a mission to combat complexity and empower individuals, we are on a journey to redefine financial services in Latin America, and this is just the inception of the vibrant future we are constructing. As a publicly traded company on the New York Stock Exchange (NYSE: NU), we leverage proprietary technology, advanced data intelligence, and a streamlined operating model to provide financial products that are straightforward, accessible, and human-centric. Our contributions to the financial sector have garnered recognition from esteemed global rankings such as Time's 100 Companies, Fast Company's Most Innovative Companies, and Forbes' World’s Best Bank. Explore more about our team and opportunities at Careers at Nubank. About the Role Data forms the cornerstone of Nubank’s AI and machine learning models, allowing millions of customers to access equitable financial products. As a Lead Machine Learning Engineer within the AI Core Data Intelligence team, you will engage in a diverse range of activities—from constructing scalable data infrastructures and feature pipelines that support our cutting-edge foundation models to designing, training, and deploying transaction classification models that enhance crucial customer experiences throughout the organization. Your role will be pivotal at the convergence of data and applied machine learning, contributing to various phases of the ML lifecycle: acquiring and labeling data, training and assessing models, and assisting in deployment and production monitoring through rigorous quality controls. Collaboration with product, compliance, and ML teams will be essential to ensure that models are auditable, respect privacy, and yield measurable business value. Joining our team means being part of the data engineering backbone of AI Core, where you will ensure data is accessible, healthy, and accurately tracked across our entire ML ecosystem. Here, you will merge your skills in building scalable data systems with your enthusiasm for machine learning, crafting solutions that enable our models to learn from richer, higher-quality data. Learn more about our work in the AI Core team on our blog: Understanding Our Customers' Finances Through Foundation Models.

Join Mistplay, the leading loyalty app for mobile gamers, as a Senior Machine Learning Platform / Infrastructure Engineer II. At Mistplay, our vibrant community of millions of mobile gamers engages with our platform to discover new games and earn valuable rewards. Players are compensated for their time and investment in gaming, redeeming these rewards for gift cards. Our mission is to enhance the mobile gaming experience for everyone, everywhere! Download Mistplay on the Google Play Store here and connect with us on Instagram, Twitter and Facebook.Important Note: In Canada , Mistplay operates under a hybrid model, requiring 2 days per week in-office presence in Toronto (400 University Ave) & Montreal (1001 Blvd. Robert-Bourassa).

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.

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 dedicated Machine Learning Engineers with a passion for developing innovative systems utilizing large language models (LLMs) and real-world data. In this dynamic role, you will collaborate with clients and team members to design, prototype, and implement scalable machine learning solutions that drive results.Join our high-performing, collaborative team that prioritizes clear communication, practical execution, and continual learning. If you excel in fast-paced environments, enjoy solving complex problems, and are committed to the quality and impact of your work, we would love to hear from you.

Role Overview The University Health Network in Toronto is seeking a Postdoctoral Researcher to advance machine learning research in multimodal healthcare AI. This position centers on developing new approaches to improve healthcare outcomes by applying advanced AI methods to complex data. What You Will Do Develop and implement machine learning algorithms for healthcare applications Analyze large, multimodal datasets from clinical and research sources Collaborate with a multidisciplinary team, including clinical experts and researchers Translate research findings into insights that support clinical decision-making Collaboration and Impact This role works closely with professionals from diverse backgrounds. The research aims to create practical solutions that can be applied in real healthcare settings, contributing to better patient care and outcomes.

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.

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.

Who are we?At Cohere, our mission is to elevate intelligence for the benefit of humanity. We are dedicated to training and deploying cutting-edge models for developers and enterprises, enabling them to create extraordinary experiences like content generation, semantic search, retrieval-augmented generation (RAG), and advanced AI agents. We believe our efforts are pivotal for the broader acceptance of AI technologies.Our team is passionate about our creations, with each member playing a vital role in enhancing the capabilities of our models and the value they provide to our clients. We thrive on hard work and agility, always prioritizing our customers' best interests.Cohere comprises a diverse group of researchers, engineers, designers, and other professionals, each excelling in their respective fields. Our belief is that a rich variety of perspectives is essential for developing exceptional products.Join us in shaping the future!Cohere Labs serves as our dedicated research division, pushing the boundaries of machine learning through collaborative research and hands-on experimentation. We tackle frontier challenges in natural language processing (NLP) and AI, while fostering an environment where researchers and engineers from various backgrounds can learn, contribute, and grow.We prioritize building thoughtful and practical solutions, ranging from innovative methods and datasets to tools that enhance research accessibility. Our core values include curiosity, ownership, and tangible impact over mere buzz.Why join Cohere Labs?Cohere Labs unites researchers and engineers in the pursuit of bold ideas, translating them into functional systems. We are committed to advancing machine learning while enhancing access to applied research training and fostering global collaboration.We realize this mission through two main avenues:Fostering open, collaborative research environments where engineers and researchers tackle ambitious ML challenges together.Broadening access to applied research training, supporting early-career engineers in becoming strong contributors to research.About the roleWe are in search of Research Engineers who are eager to engage in practical work: conducting experiments, debugging models, scaling training pipelines, and transforming research concepts into operational systems.This role is highly hands-on. You will collaborate closely with scientists and fellow engineers to apply new methodologies, execute large-scale experiments, and help develop the infrastructure that underpins our research initiatives.

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.

At Lyft, we are dedicated to connecting people and enhancing their lives through innovative transportation solutions. We foster an inclusive workplace that encourages every team member to thrive and contribute to our mission.With over 500 million rides completed, Lyft is at the forefront of solving complex problems in a data-rich environment, spanning various domains such as Marketplace, Mapping, Fraud Prevention, Trust & Safety, Growth, and more. Our goal is to revolutionize transportation by leveraging cutting-edge machine learning techniques on massive datasets, enabling us to create impactful, cost-effective transportation solutions. Our dynamic team of motivated Machine Learning Engineers tackles these challenges head-on, crafting solutions that significantly influence our core business operations.If you are a critical thinker with a robust background in machine learning workflows and a passion for utilizing data to solve real-world business problems, we want to hear from you!As a Machine Learning Engineer at Lyft, you will be instrumental in developing and deploying algorithms that power our platform's essential services and products. The range of problems we address is exceptionally diverse, encompassing transportation, economics, forecasting, mapping, safety, personalization, and adaptive control. We seek passionate experts in these fields who thrive in a fast-paced, innovative, and collaborative environment.

About IdeogramAt Ideogram, we are on a mission to democratize world-class design, enhancing human creativity through innovative solutions. Our proprietary generative media models and AI-driven creative workflows address previously unsolved problems in graphic design. Our team is composed of pioneers with proven success in technology breakthroughs, including foundational research in Diffusion Models and the development of Google’s Imagen and Imagen Video. We prioritize design, aesthetics, and craftsmanship, alongside rigorous research and engineering, delivering experiences that resonate with creatives.With nearly $100 million raised from leading investors like Andreessen Horowitz and Index Ventures, Ideogram is headquartered in Toronto and expanding rapidly, aiming to triple our team this year. We foster a flat organizational structure, encouraging a culture of ownership, collaboration, and mentorship.Discover more about our innovations by exploring Ideogram 3.0, Canvas, and Character. Experience Ideogram at ideogram.ai.About The RoleWe are searching for a talented Software Engineer specializing in ML Data Infrastructure to join our innovative team. You will collaborate with a group of skilled engineers to create cutting-edge AI design experiences that engage millions of users.You will thrive in this role if you are passionate about:Collaborating on complex technical challenges, from scaling distributed systems to enabling novel generative media experiences.Constructing robust data infrastructure capable of supporting foundation models at petabyte scale, ensuring reliability and performance across multi-modal training pipelines.Optimizing data processing workflows for high throughput, engaging directly with distributed systems, TPU infrastructure, and large-scale storage solutions.Partnering with research scientists to grasp data requirements and translating them into production-grade systems that expedite model development cycles.What We’re Looking ForTechnical Excellence2-5 years of experience in developing and deploying large-scale distributed systems, showcasing the ability to manage complexity through thoughtful abstractions and scalable design.Strong grasp of data structures, algorithms, and system design principles.

At Cerebras Systems, we are revolutionizing AI technology with the world's largest AI chip, which is 56 times larger than traditional GPUs. Our innovative wafer-scale architecture equips users with the computational prowess of multiple GPUs on a single chip, simplifying programming tasks. This groundbreaking approach enables unparalleled training and inference speeds, allowing machine learning practitioners to seamlessly operate extensive ML applications without the complexities of managing numerous GPUs or TPUs. Cerebras proudly serves an impressive clientele, ranging from leading model laboratories to major global enterprises and pioneering AI startups. A testament to our capabilities, OpenAI has recently forged a multi-year partnership with Cerebras, aimed at delivering 750 megawatts of scale and transforming critical workloads through ultra-fast inference. Our state-of-the-art wafer-scale architecture empowers Cerebras Inference to provide the fastest Generative AI inference solution globally, boasting speeds over ten times faster than GPU-based hyperscale cloud inference services. This extraordinary increase in speed is redefining user experiences with AI applications, enabling real-time iterations and enhancing intelligence through additional agentic computation.About the RoleWe are on the lookout for a dynamic and seasoned engineer to join our Inference Core Model Bringup team. This team is tasked with the rapid deployment of advanced open-source models (such as LLaMA, Qwen, etc.) or proprietary models provided by customers on our Cerebras CSX systems. Success in this role necessitates a systems-oriented generalist who flourishes in fast-paced environments and is adept at navigating the entire Cerebras software stack. Your contributions will be instrumental in achieving unprecedented performance, efficiency, and scalability for AI applications.

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

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.

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.

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.

About NationGraphAt NationGraph, we are transforming public sector data into actionable insights for businesses engaging with cities, counties, state agencies, educational institutions, and special districts. Our robust data and intelligence engine, established in 2024, extracts buying signals from millions of public sector sources, ensuring that public data is genuinely accessible. Discover more at nationgraph.comJoin a Dynamic Team That:Has a proven track record of building, scaling, and successfully selling companies.Developed software infrastructure capable of processing billions of dollars in transactions.Is supported by leading venture capitalists and experienced partners who have played pivotal roles in iconic companies.Your Role:Take full ownership of a significant project from conception to delivery, allowing you to showcase impactful results from your internship.Engage with cutting-edge AI technologies and leverage the rapid advancements in AI capabilities.Accelerate your learning by tackling complex challenges alongside a high-caliber team.Collaborate in a design-driven culture that prioritizes product elegance and user experience.Regularly partner with design, sales, and marketing teams to create comprehensive product narratives.

About IdeogramAt Ideogram, we believe in democratizing world-class design, amplifying human creativity through cutting-edge technology. Our proprietary generative media models and AI-driven creative workflows address the most pressing challenges faced in graphic design today. Our team is composed of seasoned innovators with a history of breakthroughs in technology, including pioneering research in Diffusion Models, Google’s Imagen, and Imagen Video. We prioritize design, taste, and craftsmanship alongside research and engineering, delivering experiences that creatives truly cherish.Having secured nearly $100M in funding from prominent investors like Andreessen Horowitz and Index Ventures, our headquarters are located in Toronto, with a rapidly expanding team in New York City. We are on an aggressive scaling trajectory, aiming to triple our workforce in the upcoming year. Our culture is characterized by a flat hierarchy, fostering high ownership, collaboration, and mentorship.Discover more about our innovative features in Ideogram 3.0, Canvas, and Character. Experience Ideogram at ideogram.ai.The OpportunityAs a Research Engineer / Research Scientist, you will spearhead the development of our end-to-end post-training pipeline for text-to-image foundation models. Your role will encompass everything from data strategy to deployment, pushing forward techniques such as Reinforcement Learning from Human Feedback (RLHF), Reinforcement Learning from AI Feedback (RLAIF), and enhancing personalization/customization. You will play a pivotal role in post-training research that yields measurable advancements while implementing and maintaining high-throughput fine-tuning and evaluation pipelines. Join a dynamic team of engineers and researchers dedicated to shaping the future of the creative economy.