Machine Learning Research Intern in Reinforcement and Imitation Learning

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.

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.

Later is the leading platform in influencer marketing, empowering brands to craft unforgettable campaigns with confidence. By leveraging genuine creator relationships, reliable intelligence, and expert support, Later eliminates uncertainty from one of marketing's most visible investments.Our AI-driven platform, backed by over a decade of proprietary data—including billions of social interactions, impressions, and more than $2.4 billion in verified influencer-generated purchases—enables teams to predict campaign success before launch.By merging valuable insights with expert guidance, Later takes the guesswork out of influencer marketing, allowing brands to select the ideal creators, execute thoroughly managed campaigns, and achieve significant growth in awareness, engagement, and revenue. Trusted by major enterprise brands such as Nike, Wayfair, Unilever, and Southwest Airlines, Later harmonizes creativity with performance to ensure campaigns not only look impressive but also yield tangible results. Discover more at later.com.About this Position:We are seeking a Machine Learning Infrastructure Engineer to join our expanding Data & Platform team. In this pivotal role, you will establish the framework that drives our AI and machine learning capabilities across Later's product suite. As our inaugural dedicated ML Infrastructure Engineer, you will oversee the systems that facilitate model experimentation, training, deployment, and large-scale monitoring.This position is essential for accelerating our data science endeavors and fostering future AI innovations. You will design and maintain reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to deploy impactful models confidently. If you are passionate about creating robust ML systems in a dynamic environment and are eager to set the standard for ML Ops at Later, this is your chance.

Join Parallel Domain, where we are revolutionizing the field of autonomy, robotics, and computer vision with our cutting-edge simulation and digital twin technology. Our Replica product is at the forefront of creating expansive, photorealistic digital twins of real-world environments, essential for testing, validating, and developing autonomous systems. If you are passionate about machine learning and eager to contribute to the future of technology, we invite you to apply!

About this OpportunityJoin a global leader in networking that is transforming how businesses manage their networks. Our AI Core group is at the forefront, developing pioneering platforms across various domains such as Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and fine-tuning large language models. Here, innovation is not just welcomed; it is a core expectation.The RoleAs a pivotal AI ML Engineer, you will take on a leadership role in shaping our machine learning strategy. You'll be responsible for creating intelligent, high-performance multi-agent systems that can perceive, learn, and act in real-time.Key ResponsibilitiesDefine and lead the technical vision for machine learning solutions across our product portfolio.Manage the complete software development lifecycle, overseeing everything from design and code reviews to deployment and operational management.Architect robust, scalable microservices, including both synchronous and asynchronous web services.Develop real-time inference pipelines for complex models leveraging tools like Triton, TensorRT, and mixed-precision computing.Mentor fellow engineers, establish technical direction, and cultivate a strong team culture.Promote engineering excellence, system resilience, and continuous improvement in operations.

Machine Learning Innovator: At AlgaeCal, we don't just work with data; we transform it into actionable insights that shape our strategies, optimize efficiencies, and drive growth. As a Data Scientist Intern, your predictive models will play an integral role in advancing our mission to combat bone loss, impacting millions of lives.Our team thrives on uncovering hidden patterns and validating hypotheses. If you're passionate about integrating machine learning into real-world AI applications, we want to hear from you.Join us and be part of something meaningful. With an estimated 54 million people in the U.S. facing low bone density, your work here will provide hope through our clinically-backed natural solutions.

AlgaeCal Inc. is seeking a Data Scientist Intern for New Graduates in Vancouver, British Columbia. This internship focuses on transforming raw data into strategies that drive real business results. Interns will work closely with machine learning models, uncover patterns, and help embed AI applications into practical business solutions. AlgaeCal’s mission centers on eliminating the fear of bone loss, offering a clinically-backed natural solution for those with low bone density. The team values curiosity, initiative, and a drive to turn data into meaningful action. Role overview This internship is designed for individuals eager to apply data science skills to real-world challenges. The position involves building and refining machine learning models, optimizing data architectures, and supporting the company’s analytics efforts. Requirements Background in Data Science or a related field, with experience designing predictive models and optimizing AI applications. Strong programming skills in Python or R, with the ability to build and enhance machine learning models using statistical modeling and data science tools. Proficiency in SQL and relational databases, including writing efficient queries and optimizing data structures for large datasets. Understanding of machine learning algorithms such as regression, clustering, and neural networks. Experience with data warehouses like BigQuery, including designing and maintaining scalable data storage solutions. Ability to standardize and improve data models for efficiency, accuracy, and usability. Strong attention to detail for identifying trends, outliers, and opportunities in data. Entrepreneurial mindset, using data insights to generate business value. Those who are motivated by impactful work and want to contribute to a mission-driven company will find this internship rewarding. AlgaeCal welcomes candidates ready to turn data into action and support the company’s growth.

Join our dynamic team at aviso as a Temporary Learning & Development Specialist. In this role, you will play a crucial part in enhancing our workforce's skills and capabilities through innovative learning initiatives. You will collaborate with various departments to identify training needs and develop engaging training programs that drive employee growth and productivity.

About Dialpad Dialpad offers an AI-native business communications platform that brings together calling, messaging, meetings, and contact center features in one solution. The platform’s AI understands conversations as they happen, helping teams communicate more efficiently. More than 70,000 companies worldwide use Dialpad, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply. These organizations rely on Dialpad to build stronger customer relationships through actionable insights powered by AI. Dialpad has taken a lead in Agentic AI, developing intelligent agents that not only analyze conversations but also take actions to automate workflows, answer customer questions, and speed up revenue processes in real time. The DAART initiative (Dialpad Agentic AI in Real Time) continues to advance communication technology. Learn more at dialpad.com. Applied Scientist Role in Vancouver, Canada The Applied Scientist will join Dialpad’s AI team in Vancouver, contributing to research and development efforts that influence the direction of the platform.

impact.com is a leading partnership marketing platform that brings together affiliates, influencers, content publishers, and brand advocates to drive business growth. The platform helps more than 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics, manage over 350,000 partnerships. impact.com’s suite of products, Performance, Creator, and Advocate, integrates all partner types, supporting brands as they build authentic, performance-driven relationships throughout the customer journey. Role overview The Senior Data Scientist, Programmatic Algorithms, will join the Programmatic Experience Group as an embedded expert. This high-responsibility individual contributor role focuses on designing and implementing machine learning models that optimize yield, pricing, and inventory allocation at scale. The work sits at the intersection of data science, platform engineering, and marketplace economics. Key responsibilities Lead the design and implementation of machine learning models to optimize auction pricing, bid shading, floor price settings, and yield across impact.com’s programmatic inventory. Architect data pipelines to support model development and deployment. Engineer features that improve model performance. Deploy real-time inference systems that enable swift, data-driven decisions. Collaboration and impact This role works closely with Product, Data Science, and Programmatic Delivery Engine Engineering teams. While collaboration is essential, the position also offers significant autonomy. The Senior Data Scientist will influence how the programmatic marketplace balances advertiser performance with publisher monetization, making a measurable impact on the organization. What we look for Analytical rigor and practical instincts are essential. The ideal candidate brings deep experience in both data science and machine learning engineering, with a genuine enthusiasm for solving complex problems in both areas.

Join Huawei Canada as an Intern Researcher focused on AI Computing Systems in Vancouver! This 8 to 12 month internship offers a unique opportunity to work with cutting-edge technologies and contribute to innovative AI solutions.About Our Team:The Advanced Computing and Storage Lab is part of the Vancouver Research Centre, dedicated to pioneering adaptive computing architectures that tackle the challenges of variable application loads. Our focus on stability and quality ensures efficient training clusters and dynamic configuration strategies, with an emphasis on AI applications like large model training and inference using technologies such as low-precision training and reinforcement learning.Internship Overview:This internship will target critical AI application scenarios, enhancing performance and usability of AI systems on the Ascend platform through innovative techniques like low-precision training and multi-modal optimization.You will be responsible for designing and developing optimization solutions for AI training and inference systems, including FP8 optimization and RL-driven training agents.The role demands combining AI algorithm requirements with system-level optimizations in computing, I/O, scheduling, and precision control to boost performance.You will build robust AI training clusters utilizing dynamic configurations to ensure scalability and reliability.This internship includes the development of software frameworks, operator libraries, and system-level optimizations for NPU platforms aimed at accelerating large-model AI training.Drive groundbreaking advancements in large-model training and inference through low-precision training and parallel strategy tuning.

impact.com builds a platform for brands to manage and grow partnerships across the entire customer journey. Over 5,000 companies, including major names like Walmart, Uber, and Shopify, use impact.com to oversee a network of more than 350,000 partnerships. Role overview The Senior Data Scientist, Programmatic Algorithms, joins the Programmatic Experience Group as an individual contributor. This role centers on designing and deploying machine learning models to optimize yield, pricing, and inventory allocation at scale. The work blends data science, platform engineering, and marketplace economics, directly influencing impact.com’s programmatic marketplace by balancing advertiser results with publisher monetization. This position offers significant autonomy and responsibility across the full machine learning lifecycle. Projects range from building data pipelines and engineering features to deploying real-time inference systems that support rapid decision-making. Regular collaboration with Product, Data Science, and Programmatic Delivery Engine Engineering teams is expected. What you will do Yield optimization and pricing models: Design and implement machine learning models for auction pricing, bid shading, floor price setting, and yield management across programmatic inventory. Who succeeds in this role Success in this position requires strong analytical rigor, practical machine learning engineering skills, and a genuine interest in both data science and engineering challenges. The role is based in New York, Seattle, or Vancouver, BC.

Klue helps businesses transform scattered competitive data into clear, actionable insights. The Vancouver team is expanding and seeking a Senior Software Engineer with a focus on AI agent development. Role overview This position centers on designing and operating large language model (LLM)-powered agents at scale. Responsibilities span multi-agent orchestration, sub-agent design, and building evaluation frameworks to ensure outputs are both reliable and measurable. The work covers the full stack, including optimizing inference costs, improving retrieval and query performance, and creating feedback loops for ongoing system improvement. In addition to technical execution, this engineer will help shape the product roadmap by offering technical guidance and collaborating closely with product leadership. The role involves guiding projects from early architecture through experimentation and into production, always with an eye on production readiness and measurable results. What you will do Develop and deploy backend systems for agentic workflows. Design retrieval pipelines, orchestration layers, and agent architectures that process large volumes of competitive data, such as news, press releases, website updates, Slack messages, emails, reviews, and CRM data, into actionable intelligence for clients. Enhance LLM-powered workflows end-to-end. Work on prompt design, retrieval strategies, caching, and latency optimization to make agent responses fast, accurate, and reliable in production. Lead evaluations of agent systems at scale. Build and manage evaluation frameworks (automated, offline, and human-in-the-loop) to assess relevance, quality, latency, and overall task success. Define excellence metrics and set up infrastructure for ongoing measurement. Design and implement human-in-the-loop systems. Collaborate with product and design teams to propose and prototype feedback mechanisms, review workflows, and correction loops that help keep AI agents accurate and trustworthy over time. Location This role is based in Vancouver, British Columbia. Learn more about Klue at klue.com.

Asana seeks a Staff Data Scientist in Vancouver, BC. This role centers on advanced analytics and machine learning to help guide decisions across the company. Role overview Work will span both product development and operational improvements. The goal is to generate insights that help shape Asana’s products and make them more effective for users. What you will do Apply machine learning and analytics to company data Support teams with insights that influence product direction Contribute to operational improvements using data-driven findings Location This position is based in Asana’s Vancouver, BC office.

We are seeking an enthusiastic and detail-oriented Market Research Assistant Intern to join our dynamic team at Odonit Solutions in Vancouver. In this role, you will be responsible for conducting comprehensive market studies, including analyzing market statistics, conducting sales and rental comparable surveys, and gathering valuable market intelligence.You will assess regional and national economic conditions to understand their impact on our clients and their business needs. Your support will extend to various projects that involve writing, editing, researching, and reporting.Key responsibilities include:• Conducting in-depth research on market trends and relevant industry insights.• Assisting in business development initiatives and special projects.• Performing miscellaneous administrative tasks as required.• Offering support to our Research and Data Team.• Utilizing various techniques for interpreting results, from data aggregation to data mining.• Coordinating the maintenance of our database.

Join Cerebras Systems as an R&D Engineer specializing in Advanced Technology, focusing on Artificial Intelligence (AI) and Machine Learning (ML) within High-Performance Computing (HPC). In this pivotal role, you will contribute to cutting-edge projects that drive innovation in AI and ML technologies.As part of our dynamic team, you will collaborate with top-tier engineers and researchers to develop revolutionary solutions that enhance computing capabilities. Your expertise will be instrumental in shaping the future of AI and HPC technologies.

Join PSI as a Senior Clinical Research Associate (CRA) and immerse yourself in a dynamic role where you will execute a variety of monitoring tasks across diverse clinical studies. With a commitment to maintaining the highest quality standards in the industry, you will play a crucial part in advancing medical research.Your responsibilities will include:Conducting and reporting Site Initiation Visits (SIV), Routine Monitoring Visits (RMV), and Closeout Visits (COV) on-site.Performing Case Report Form (CRF) reviews, source document verification, and query resolution.Managing site communications and fostering strong relationships with study sites.Serving as a key point of contact for in-house support services and vendors.Collaborating with internal project teams to provide updates on study progress.Engaging in feasibility research to assess potential study sites.Assisting the regulatory team in preparing documentation for study submissions.Preparing for and participating in audits and inspections to ensure compliance and quality assurance.

As a Clinical Research Coordinator at Abcellera, you will play a pivotal role in managing and facilitating clinical trials. Your responsibilities will include coordinating day-to-day operations, ensuring compliance with regulatory requirements, and working closely with cross-functional teams to support the development of innovative therapeutic solutions.

Huawei Canada is excited to announce a permanent opening for an AI Security Researcher.About Our Team:At the forefront of technology, the AnShi Lab is dedicated to pioneering next-generation gateway software architecture with an emphasis on file security and innovative software development. Our team engages in mid- to long-term research aimed at generating high-value patents and directing the evolution of datacom gateways. Our mission is to set industry benchmarks through advanced, cloud-based intelligent software engineering, while nurturing local talent and building a dynamic team of technical experts to enhance both organizational performance and individual capabilities.Position Overview: Collaborate with malware analysts and security stakeholders to delineate problem scopes, establish labeling strategies, and devise evaluation methodologies.Conduct thorough industry and academic research, producing succinct surveys and technical reports.Design and implement advanced machine learning methods (LLM/GNN/ML) for malware and threat classification (e.g., family/behavior classification, malicious vs. benign).Develop scalable data pipelines for effective data ingestion, preprocessing, deduplication, and dataset management.Drive the end-to-end experimentation process: model training, calibration, benchmarking, error analysis, and iterative improvements.Contribute to patents and publications; optional travel for conferences may be required.The target annual compensation for this role ranges from $106,000 to $156,000, depending on educational background, experience, and demonstrated expertise.

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.