Associate Machine Learning Developer Internship (Fall 2026)

toloka-ai seeks a Freelance Machine Learning Developer for a contract position on its remote team. This role centers on building and improving AI systems for ongoing projects. Key responsibilities Collaborate with a distributed team to develop and enhance machine learning models Apply technical skills to projects that explore new AI methods Support the company’s machine learning work through hands-on development Location This position is fully remote and available to candidates residing in Manitoba, Canada.

Toloka AI seeks a Freelance Machine Learning Engineer for remote contract work based in Manitoba, Canada. This role centers on hands-on AI projects where results have a direct impact. The position allows for independent work from home while engaging with a variety of machine learning efforts. Key responsibilities Use machine learning methods to support ongoing projects Work with Toloka AI teams to develop practical AI solutions Apply technical knowledge to solve concrete, real-world problems Work location This is a remote position open to candidates living in Manitoba, Canada.

At Stay22, we are transforming the way users convert online. Our AI-powered affiliate platform assists publishers, ticketing platforms, and content creators in generating new revenue streams while enhancing their audience's experience.Join us at Stay22, where our partners not only earn more but also provide a superior experience. Be part of a company that is fundamentally reshaping the affiliate landscape.Job SummaryYou will join the Neuro Squad, a specialized team dedicated to centralizing ML and AI innovation at Stay22. Neuro provides the technical foundations that power our core engines, including Roam (our machine learning-based redirect engine) and Spark (our AI-driven affiliate logic engine).As a Senior ML/DL Developer within the Neuro Squad, your responsibilities will include designing and architecting the intelligence behind these products. This role encompasses the entire lifecycle of our ML platforms—from training pipeline design to real-time inference API optimization.You will work with cutting-edge technologies (including LLMs) and collaborate closely with the Data team and Forge Squad to ensure our AI solutions are scalable, secure, and production-ready.

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.

***English version below***Travel transcends destinations; it is woven from the memories created along the way. At Plusgrade, we are committed to redefining the future of travel by partnering with over 250 airlines, hotels, cruise lines, rail networks, and financial services to create meaningful new revenue streams through exceptional customer experiences. Grounded in our core values of ambition, innovation, and collaboration, we are continuously driven to push boundaries, exceed expectations, and harness the best of everyone. We cultivate a culture that believes our strength lies in our unity, working together to build an extraordinary future in the travel industry. Join us in transforming everyday journeys into truly remarkable experiences.ABOUT THE POSITIONAs a Machine Learning Engineer within the ML Applications team, you will be responsible for designing, developing, and deploying innovative machine learning platform solutions to tackle complex business challenges. This role requires a strong software development background, a keen interest in cutting-edge technologies, excellent problem-solving skills, and the ability to work both independently and collaboratively in a fast-paced environment.This position reports to the Director of ML Applications.YOUR RESPONSIBILITIES:• Collaborate within a small team passionate about scaling the use of ML applications across the organization.• Productionize, scale, and commercialize state-of-the-art machine learning solutions.• Design and develop scalable and robust ML pipelines to enable predictive data usage by downstream applications, enhancing key performance indicators (KPIs) such as member engagement and revenue.• Create and implement robust processes for monitoring production ML pipelines.• Support production systems to deliver batch and real-time model predictions to all applications.• Actively participate in solution design and modeling to ensure ML products are developed according to best practices, standards, and ML architecture principles.• Work closely with our product, engineering, and marketing teams to develop data and ML solutions that address critical business questions.

Who We AreWe are a dynamic technology company, thriving in agile development. At the heart of everything we do are our people; that is what truly matters to us. We genuinely care about our clients and their environments, as well as the grand dreams, aspirations, and professional growth of every member of our team.We firmly believe that unity is strength, which is why we are constantly seeking new ways to build connections with everyone around us.We value diversity in all its forms: backgrounds, personalities, career paths, languages... absolutely everything. This subject opens opportunities for concrete innovations as well as learning and exchanges. We want everyone to feel welcomed and at home in all that we do.Fun is also part of our mission. Every day, we rise with the motivation to make the world a more efficient and enjoyable place.Role OverviewAs a Senior Software Developer and Machine Learning Specialist, you are ready and eager to collaborate with and mentor both technical and non-technical teammates while planning, developing, and delivering enterprise AI software solutions for our clients. We expect you to take ownership of your tasks, excel in time management, and learn quickly, while also focusing on continuous personal improvement.The technologies listed below are indicative. Above all, we consider personal skills and growth potential during the selection process.

About UsWe are a rapidly growing technology company specializing in agile development. At the heart of everything we do are our people; they are what matters most to us. We genuinely care about our clients and their environments, and we are dedicated to the big dreams, aspirations, and professional advancement of every member of our team.We firmly believe that collaboration is key, which is why we are always seeking new ways to build connections with everyone around us.We value diversity in all its forms: backgrounds, personalities, career paths, languages... absolutely everything. This is an opportunity for us to foster concrete innovations as well as learning and exchanges. We want everyone to feel welcomed and at home in everything we do.Fun is also part of our mission. Every day, we rise with the motivation to make the world a more efficient and enjoyable place.Role OverviewAs a Senior Software Developer and Machine Learning Specialist, you are eager and excited to collaborate with and mentor both technical and non-technical teammates while planning, developing, and delivering enterprise AI software solutions for our clients. We expect you to take responsibility for your tasks, excel in time management, and learn quickly, all while focusing on continuous personal improvement.

About UsAt osedea, we are a dynamic and innovative technology development company that places people at the core of our mission. Our commitment extends beyond delivering exceptional services to our clients; we genuinely care about our team members' aspirations, dreams, and professional growth.We believe in the strength of community, actively seeking to forge meaningful connections with everyone we encounter.Diversity is celebrated in all its forms here. We value different backgrounds, perspectives, and experiences, fostering an environment where every individual feels welcomed and included.With a focus on collaboration and enjoyment, we approach each day with enthusiasm as we strive to create a more efficient and enjoyable world.

Unity Technologies is shaping an ad-tech ecosystem that links billions of users with creators and their experiences. The Advertiser Growth team leads this work, delivering intelligent tools, dependable infrastructure, and a platform that encourages experimentation as the marketplace grows. Key responsibilities Design and build GenAI systems to create high-impact creative assets for advertisers Develop pacing algorithms that manage and optimize advertising budgets worth millions Maintain and improve billing pipelines to ensure accuracy and efficiency at large scale Create experimentation infrastructure to advance marketplace science and support data-driven growth Strategic focus for 2026 The team’s roadmap centers on three pillars: Foundation, Smart, and Intelligence. This position operates where financial execution, creative development, and marketplace science meet. Technical leadership in this role directly influences Unity’s financial accuracy and the long-term stability of the ad marketplace. Location This is a remote position based in Ontario, Canada.

Wisedocs is an innovative and rapidly expanding AI platform that revolutionizes the way insurance companies evaluate claims. With approximately $20 million USD in funding, over 100 team members worldwide, and more than 90 clients across North America and Australia, we are experiencing remarkable growth, doubling our revenue year after year.Founded by industry experts who have firsthand experience with the claims process, Wisedocs merges extensive domain expertise with cutting-edge AI, trained on over 100 million documents. Our platform simplifies complex medical records into clear, structured insights, supported by expert human oversight.Join our mission-driven team dedicated to developing intelligent products that simplify complexity, expedite decision-making, and create a significant impact when it matters most.Role OverviewWe are on the lookout for a Senior Machine Learning Engineer to spearhead the scaling and innovation of machine learning initiatives across the organization. In this pivotal role, you will enhance our inference and training pipelines to accommodate a higher volume of customers while refining extraction and summarization techniques across various modalities. You will foster a customer-centric approach and collaborate with fellow senior engineers to seamlessly integrate the ML system into the broader Wisedocs platform.Our Current ML EcosystemWe have three primary types of ML systems operational in production: an entity classification system, a custom reports generator, and a series of summarization models. Our entity classification has been functioning for four years and currently processes data asynchronously using a combination of models. Discover more about our initiatives at our tech blog.Recent Projects by Our ML Team:Reconstructing our inference pipeline to achieve 100x scalingDeveloping consistent parsing methods for 50,000-page PDFsDeploying our pipeline within an isolated government client environmentYour ResponsibilitiesDesigning and implementing machine learning models to analyze and interpret large sets of medical and insurance documentsCreating robust, scalable APIs using PythonCollaborating with technical stakeholders and leaders to contribute to system design and implementationEnsuring the reliability and scalability of ML systems while enforcing best practices in data engineering and model lifecycle managementWorking closely with our expert-in-the-loop teams to develop industry-leading evaluationsAdditional responsibilities will evolve as projects progress and change

c-serv is forming an AI Red Team to improve the security of enterprise AI products. As an Adversarial Machine Learning Engineer, the focus will be on identifying vulnerabilities in large language model (LLM) systems and testing their defenses before they reach enterprise clients. This hands-on position addresses practical security challenges in real-world AI deployments. Main responsibilities Perform adversarial assessments targeting LLMs and other AI systems Simulate real-world attack scenarios, including: Prompt injection Jailbreaking and bypassing model guardrails Data exfiltration Model inversion and evasion Manipulation of retrieval-augmented generation (RAG) pipelines Develop scripts and tools to automate attack scenarios Evaluate model behavior and performance under adversarial conditions Identify weaknesses in technical components, such as: APIs Embedding pipelines Vector databases Fine-tuned model deployments Collaborate with engineering teams to verify fixes and improvements Document findings clearly and thoroughly Location This position is based in Calgary, Alberta, Canada. Impact The work in this role directly supports the reliability and security of AI systems before they are deployed at scale for enterprise use.

About UsEli Health is at the forefront of continuous hormone monitoring, empowering users to enhance their daily and long-term health. Forget the long waits to track essential biomarkers—now you can receive actionable results in just minutes. Our flagship product, the Hormometer™, is the pioneering instant hormone monitoring platform that delivers results from saliva directly to your mobile app—anytime, anywhere.After six years of dedicated R&D, over 2,000 product iterations, and supported by numerous patent-pending innovations, Eli’s award-winning platform transforms hormones into quantifiable signals that users can track and improve. Just as thermometers and glucometers have revolutionized health management for millions, Eli’s platform is set to lead the next major advancement in monitoring changes in stress, endurance, sleep, and more.About the RoleWe are seeking a skilled Machine Learning Scientist to take the lead on enhancing our model training and deployment pipeline utilizing Data Version Control (DVC) and Google Cloud Platform (GCP) with our Python data science SDK. This position is not solely research-focused; you will play a critical role in ensuring that models train reproducibly, deploy securely, perform effectively in production, and evolve as new data and insights become available.You will work with real-world biological data, where noise, variability, and fluctuating conditions are common. In addition to managing the pipeline, you will actively engage in ongoing analyses, including calibrations, pilot studies, error analyses, and model performance evaluations, translating findings into tangible improvements.This role bridges the gap between machine learning and software engineering. You will contribute to enhancing the standards, tools, and monitoring practices necessary to ensure Eli's models are robust, traceable, and operationally reliable. Collaborating closely with technical and domain experts, you will drive improvements in model quality, proactively identify issues, and build a solid foundation for rapid, safe iterations.About YouYour commitment to technical excellence and delivering high-quality products is unwavering. You possess the judgment and ownership to exceed expectations when it truly matters.Bachelor's degree in Engineering, Computer Science, Data Science, Mathematics, or a related discipline.Minimum of 5 years of experience in building, deploying, and maintaining machine learning systems in production environments.Adept at taking full ownership and responsibility for projects.

Join Our Innovative TeamSanctuary AI, a pioneering force in developing dexterity-driven Physical AI for versatile robots, is on the lookout for a talented and enthusiastic Machine Learning Research Intern to join our dynamic ML team. You will play a crucial role in engineering and innovating advanced robotic manipulation tasks.As an intern reporting directly to the RL Lead, you will engage with diverse challenges related to perception, planning, and motion systems within humanoid general-purpose robots. This experience will provide you with invaluable insights into the design, architecture, and implementation of the simulation platforms and machine learning systems that drive our robots.We offer flexibility regarding the internship start date and duration, tailoring it to suit your academic commitments.

“Transform every logistics journey into a remarkable experience”Company Overview:Established in 2014, Quincus is a pioneering B2B SaaS platform specializing in supply chain operations, with its headquarters in Singapore. Our mission is to tackle the pressing challenges of global supply chains through innovative technology. By leveraging AI and machine learning, we have revolutionized the logistics landscape, providing our clients with unparalleled transparency and efficiency in their supply chain operations.Founded by two visionary entrepreneurs with over a decade of tech experience, Quincus is led by Chief Product Officer Katherina-Olivia Lacey, who champions a tech revolution while promoting women's empowerment within the supply chain sector. CEO Jonathan E. Savoir, recognized in Forbes' 30 Under 30 Asia List in 2020, also contributes to several startup boards, driving innovation forward.Role Overview:Quincus Research is at the forefront of developing the next generation of intelligent systems for our suite of products. We are seeking a highly motivated and skilled Machine Learning Engineer to join our dynamic team. You will play a pivotal role in designing and deploying deep learning and reinforcement learning algorithms at scale. Your expertise will be essential in creating scalable systems for model serving, optimizing inference performance, and managing production workflows.Key Responsibilities:- Design and implement scalable systems for deploying deep learning and reinforcement learning models.- Optimize the inference performance of models through advanced techniques like quantization, pruning, and distillation.- Leverage GPU computing to enhance model training and inference efficiency.- Develop and manage production workflows for the training and deployment of machine learning models.- Collaborate cross-functionally with data scientists and software engineers to create effective machine learning systems.- Monitor and enhance the performance of machine learning models in production.- Stay abreast of the latest advancements in deep learning and reinforcement learning methodologies.

Join Mistplay as a Staff Machine Learning Engineer, leading the development of cutting-edge AI solutions in the mobile gaming sector. Mistplay is recognized as the foremost loyalty application for mobile gamers, empowering millions to explore new games while earning rewards for their time and investment. Our mission is to enhance the mobile gaming experience for users globally. Download Mistplay on the Google Play Store here and connect with us on Instagram, Twitter, and Facebook. Please Note: In Canada , Mistplay follows a hybrid model of 2 days per week in-office at our locations in Toronto (400 University Ave) and Montreal (1001 Blvd. Robert-Bourassa).

CD PROJEKT RED’s Montreal studio is seeking a Machine Learning & Game Technology Architect to join the engineering team. This role centers on designing and building advanced machine learning algorithms and game technologies to enhance player experiences and support the studio’s future titles. Key Responsibilities Lead the design and implementation of machine learning solutions for game development projects. Work closely with teams across the studio to ensure new technology integrates smoothly with existing game engines. Set and uphold technical direction for projects, focusing on quality and performance. Requirements The ideal candidate brings a strong background in both machine learning and game technology. Experience collaborating with multidisciplinary teams and providing technical leadership is essential for shaping project outcomes.

CD PROJEKT RED, the studio behind The Witcher and Cyberpunk 2077, is searching for a Machine Learning & Game Technology Architect to join the Montreal team. This role centers on integrating advanced machine learning approaches into game development, aiming to create fresh and memorable experiences for players. Key Responsibilities Introduce machine learning solutions to active game development projects Collaborate with designers, artists, and engineers to develop tools and systems that enhance gameplay Contribute to technology that deepens immersion and player engagement Requirements Solid experience with machine learning Strong interest in gaming and technology Ability to work effectively with diverse teams This position is based in Montreal. CD PROJEKT RED welcomes candidates who are eager to shape the future of interactive entertainment through technology.

Join Our Innovative TeamSanctuary AI is at the forefront of developing dexterity-driven Physical AI for versatile robots. We are on the lookout for talented Machine Learning Engineers to become part of our dynamic team of engineers, researchers, and scientists. Together, we are committed to overcoming significant challenges in robotic perception, dexterous manipulation, planning, and reasoning.In this role, you will concentrate on creating robust systems to train and implement machine learning policies in robotic platforms. You will collaborate closely with researchers to introduce and execute cutting-edge ML techniques in production environments. Utilizing our state-of-the-art in-house robotic systems, you will design, test, and enhance software that connects advanced methodologies to practical outcomes. This role presents a unique opportunity to contribute to both the engineering foundations and the applied ML capabilities that propel our robots into the future.Note: Your role may require occasional travel (typically one to two weeks at a time, several times a year) to work closely with partners and teams on essential projects.

Join bree as a Machine Learning Engineer, where you will be at the forefront of cutting-edge technology, developing algorithms and models that drive innovation. Collaborate with a dynamic team to enhance machine learning frameworks and contribute to impactful projects that transform data into actionable insights.