Software Engineer – AI/ML for Digital Pathology Image Management System

Role overview University Health Network seeks a Software Engineer specializing in AI and ML to support its Digital Pathology Image Management System in Toronto. This role focuses on building and enhancing technology that underpins diagnostic workflows and patient care. What you will do Develop and implement advanced algorithms for analyzing digital pathology images Work with a multidisciplinary team to design and deliver software solutions Use artificial intelligence and machine learning to improve diagnostic processes Work environment Join a group of experts from diverse backgrounds, contributing to projects that affect patient outcomes. The team values practical solutions and encourages innovation in healthcare technology.

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.

Join Cerebras Systems as an AI/ML Research Scientist and be part of a pioneering team at the forefront of advanced technology. In this role, you will leverage your expertise in artificial intelligence and machine learning to develop innovative solutions that will revolutionize the field. Collaborate with top-tier researchers and engineers to push the boundaries of what's possible.

Role overview The University Health Network in Toronto is hiring a Postdoctoral Researcher to advance artificial intelligence in computational pathology. This position centers on research that explores how AI can improve pathology practices and contribute to better healthcare outcomes. Key responsibilities Participate in research projects focused on applying AI to computational pathology challenges Work closely with a multidisciplinary team of experts Support studies aimed at driving innovation in pathology and healthcare Work environment Join a group of researchers and clinicians dedicated to pushing the boundaries of computational pathology. Projects emphasize new methods and solutions that use AI to address real-world problems in the field.

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.

About MagicalAt Magical, we are revolutionizing healthcare through our innovative agentic automation platform, which leverages cutting-edge AI technology to create functional AI agents for real-world applications.We are dedicated to developing 'AI employees' that effectively automate the tedious and time-intensive workflows that hinder productivity. Our primary focus is on the healthcare sector—a colossal $4 trillion industry burdened by administrative challenges—where we streamline processes such as claims processing, prior authorizations, and eligibility checks, allowing healthcare providers to prioritize patient care.Our Success StoryThe transition towards agentic automation in healthcare is not just a trend; it's a movement, and we are at the forefront:Rapid revenue growth as customers embrace new workflows ahead of contract renewal.7-day proof-of-concept deployments showcasing real value quickly, contrasting with the industry standard of several months.Self-healing automations that maintain production-level reliability at scale, where many competitors struggle to deliver.Unlike many AI firms that make lofty claims, we deliver dependable solutions that yield tangible results. We have secured $41M in funding from esteemed investors such as Greylock, Coatue, and Lightspeed. Our founder, Harpaul Sambhi, is a seasoned entrepreneur with a successful track record, having previously sold his first venture to LinkedIn.Position OverviewAs the Software Engineering Manager for our Autonomous team, you will guide and expand a talented group of engineers committed to shaping the future of AI agent development, while pushing the limits of artificial intelligence and backend systems.You are passionate about management and derive genuine satisfaction from facilitating the professional growth of engineers. You possess the technical savvy necessary to navigate intricate architectural discussions, translating complex technical obstacles into clear business strategies. In this role, you will be a crucial link between product vision and technical implementation.This position is hybrid, requiring presence in our Toronto office two days a week.

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.

About Us: Axiomatic AI is pioneering a new generation of AI systems that employ the scientific method's rigor. By integrating deep learning with formal logic and physics-based modeling, we develop AI systems that are both verifiable and interpretable. Our solutions work in tandem with human researchers, enhancing their capabilities in critical scientific and engineering workflows. Our Mission, 30×30, is to achieve a 30-fold improvement in the speed, accessibility, and affordability of semiconductor and photonic hardware development by the year 2030. We are on a mission to transform hardware design and simulation within these sectors and are assembling a passionate team of professionals dedicated to translating groundbreaking research into commercial products. Position Overview We are in search of a Measurement Software Engineer to design and implement AX-Measure, the core of our autonomous laboratory. Your role will involve developing robust software layers that convert high-level AI decisions into precise, low-level commands for hardware operations. Your programming will govern millions of dollars worth of equipment, manage terabytes of measurement data, and ensure our 'self-driving' lab operates seamlessly. Responsibilities Create unified APIs enabling our AI agents to interact with various instruments, including oscilloscopes, network analyzers, SMUs, signal generators, and lasers. Develop high-concurrency execution engines for coordinating parallel measurements across multiple wafer chucks or cryostats. Design data pipelines and storage solutions to efficiently ingest high-frequency data streams, making them readily accessible for AI model queries. Implement 'guardrail' logic to prevent AI from initiating unsafe operations and to verify AI outputs. Integrate measurement outcomes with data analysis and modeling frameworks to enable closed-loop semiconductor development. Requirements B.S. or M.S. in Electrical or Computer Engineering, or a related discipline. 2+ years of extensive experience in production-grade Python, including proficiency in packaging (Poetry/UV), type hinting, decorators, and context managers. 2+ years of experience in automating hardware through VISA, SCPI, TCP/IP, or gRPC. 2+ years of experience in designing SDKs or APIs. 2+ years of experience in developing structured scientific data formats (HDF5) and time-series databases. Preferred Qualifications Familiarity with Rust or C++ for performance-critical applications.

About Us At Extreme Networks, we are dedicated to crafting seamless networking solutions that enable individuals and organizations to thrive in an increasingly connected world. We are on the lookout for a Director of AI Engineering to spearhead the design, development, and implementation of our cutting-edge AI-native systems.This pivotal role demands a dynamic leader who merges technical expertise with visionary thinking. You will set the strategic direction for AI initiatives, ensuring that innovative concepts transition from research to scalable, production-ready solutions. Your leadership will be crucial in launching enterprise-grade AI applications that revolutionize network design, optimization, security, and support.

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.

Join Opendoor Technologies Inc. as a Software Engineer focusing on Financial Systems, where you will play a pivotal role in enhancing our technology solutions to streamline financial processes. You will collaborate with cross-functional teams to develop and implement innovative software solutions that cater to our financial operations.

Kepler Communications is building real-time Internet connectivity for space-based assets. With 33 satellites launched, the company operates the first commercial optical data relay constellation. This network enables continuous communication in space, supporting advanced on-orbit computing and hosted payloads. The team includes experienced engineers and problem-solvers who push the boundaries of space technology. Kepler values diverse perspectives and fosters a culture focused on growth, leadership, and global impact. Those joining Kepler have the opportunity to contribute to the future of the space economy and help shape what comes next.

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.

Klue develops competitive intelligence solutions for businesses, with a growing engineering team in Toronto. The Senior Software Engineer, AI, will help shape the next generation of LLM-powered agents and advanced search systems. Role overview This position centers on designing and optimizing backend systems for agentic workflows. The work involves retrieval-augmented generation (RAG), dense retrieval, query understanding, and agentic reasoning. The goal is to deliver fast, accurate, and reliable search experiences for Klue's clients. What you will do Develop and deploy backend systems that support agentic workflows. Build retrieval pipelines, orchestration layers, and multi-step agent architectures to transform large volumes of competitive data, news, press releases, web updates, Slack, email, reviews, and CRM information, into actionable intelligence. Lead evaluation of agentic systems. Create and maintain automated, offline, and human-in-the-loop evaluation frameworks. Define success metrics and build infrastructure for continuous measurement of relevance, quality, latency, and task success. Design and refine retrieval and ranking systems. Work across hybrid retrieval, re-ranking, query rewriting, and post-retrieval synthesis. Balance trade-offs between BM25, dense retrieval, and hybrid methods to ensure agents provide timely and relevant information. Enhance LLM-powered workflows. Improve prompt design, retrieval strategies, caching, and latency to make agent responses faster, more accurate, and more reliable in production. Prioritize customer-centric development. Connect technical decisions to customer outcomes. Use insights from customer interactions to guide feature prioritization and improvements, adopting an iterative approach and measuring impact. Location This position is based in Toronto, Ontario. Learn more about Klue at klue.com.

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.

About PalonaAt Palona, we are innovating operational systems for the restaurant industry with a mission to empower restaurateurs to manage their establishments with unparalleled efficiency. We specialize in creating real-world AI systems that function continuously in a production environment. Our focus is on developing AI agents capable of perceiving, reasoning, remembering, and taking action within complex physical settings.Restaurants present intricate physical environments that our AI must navigate. We are dedicated to research that stands up to real-world challenges, assisting us in understanding and acting effectively.Join Us in TorontoToronto boasts one of the most dynamic culinary scenes in North America, home to nearly 10,000 restaurants. Our proximity to clients enhances our ability to deliver tailored solutions. The city continually attracts top AI talent, excelling in both foundational AI research and practical applications. Palona is eager to broaden our engineering and research footprint in Toronto, and we invite you to be part of our Toronto office.Who is a Good Fit for Palona?You consider yourself an advanced AI software engineer, always exploring the latest AI tools and technologies.You believe your productivity exceeds that of your peers by at least tenfold.You are passionate about delivering exceptional products to your customers.You want to create innovative and exciting products.You value collaboration and care for your teammates.Who May Not Be a Good Fit for Us?You have yet to experience a transformative moment in AI.You have not been concerned about the costs associated with AI model tokens.You do not prioritize good software design principles.You are not focused on customer satisfaction.Job DescriptionWe are looking for an AI Software Engineer with a strong track record in developing comprehensive end-to-end AI products from the ground up in startup settings. You will design, develop, and deploy autonomous AI systems from inception to production. We seek quick learners who thrive on challenges and have experience delivering AI products independently in fast-paced, resource-limited environments. This role necessitates in-person commitment in Downtown Toronto.Key ResponsibilitiesDesign and deploy complete end-to-end AI products and intelligent agents from concept to production.Create autonomous systems and multi-agent architectures to address complex challenges.Launch AI agents into production with a strong emphasis on reliability and performance, utilizing cutting-edge AI models (LLMs, VLMs).Rapidly prototype and refine AI solutions in an agile startup atmosphere.Take full ownership of projects, delivering the most impactful results for our customers.

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

Role overview Harvey seeks a Staff Software Engineer in Toronto to drive the evolution of its AI Platform. The focus is on designing and building scalable systems that can adapt to business needs and deliver reliable performance. Key responsibilities Architect and develop essential components for the AI Platform, prioritizing both performance and scalability. Collaborate with engineers and data scientists to address complex technical challenges. Enhance the platform’s stability, speed, and overall functionality. Collaboration and impact This role works alongside a talented group in engineering and data science. Contributions will have a direct effect on the platform’s capabilities and support Harvey’s business outcomes.

Join our dynamic team at Harvey as a Software Engineer, where you will play a pivotal role in shaping our cutting-edge AI platform. This is an exciting opportunity to work with innovative technologies and contribute to projects that push the boundaries of artificial intelligence.As a Software Engineer, you will collaborate with cross-functional teams to design, develop, and implement software solutions that enhance our AI capabilities. Your work will directly impact the efficiency and effectiveness of our platform, helping to drive our mission forward.

Are you passionate about uniting technology, strategy, and people to create transformative software solutions?If so, Jobber is the ideal place for you! We are on the lookout for a Director of Software Engineering to lead our AI Workflow & Ecosystem teams. If you have a strong commitment to using technology to make a meaningful impact within an organization, we would love to hear from you!At Jobber, our mission is to empower small businesses to thrive. We work alongside local home service providers, such as plumbers, painters, and landscapers, to revolutionize service delivery through our advanced technology solutions. With Jobber, these businesses can easily quote, schedule, invoice, and accept payments, all while delivering a seamless and professional customer experience. The landscape of small business operations has evolved; service delivery and consumer expectations are changing rapidly, and we provide the tools to help our clients manage their businesses with flexibility and control.Our culture, which prioritizes transparency, inclusivity, collaboration, and innovation, has earned us accolades including Great Place to Work and recognition as one of Canada’s Most Admired Corporate Cultures. Jobber has also been featured in the Globe and Mail’s list of Canada’s Top Growing Companies, as well as Deloitte Canada’s Technology Fast 50™, Enterprise Fast 15, and Technology Fast 500™ lists. Guided by an Executive team with over thirty years of industry experience, we have made significant strides since our inception in 2011, and we are just beginning to unlock our potential for our customers.We are committed to the professional growth of our employees, offering a wealth of onboarding resources, tutorials, hackathons, and mentorship opportunities. Our team comprises individuals with varying levels of experience, fostering a rich environment for mentorship and collaboration. At Jobber, our leaders prioritize empathy and support, helping employees maintain a healthy work-life balance. Bring your passion and dedication to this role and realize your goals with us.The Team:At Jobber, we do more than just build products; we solve real challenges that enable small businesses to succeed. Our company values—humility, supportiveness, and genuine care—are not just words; they are deeply embedded in our culture. We thrive in a collaborative environment where teams have the autonomy to make decisions and shape the company’s future. We release products quickly and iteratively while dedicating time to addressing technical debt, ensuring we receive immediate feedback from our customers to enhance their experiences.