Ai Research Fellowship in Canada

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Here is the updated summary for the Okta Device Access (ODA) and Okta Verify (OV) space, adapted to match the collaborative, ownership-focused, and candidate-centric tone of your PAM example: In this role, you will work as a trusted cross-functional partner on our Okta Device Access (ODA) and Okta Verify (OV) products, and have the opportunity to influence product and design decisions through your work. You will own the UX roadmap for ODA and OV, working closely with your design, product, and engineering partners to ensure that your work is aligned to the highest priority needs of the endpoint identity area, informing both long and near-term decisions. You’ll provide mentorship and coaching to more junior team members, helping raise the quality bar and impact of the team. ODA and OV’s goal is to develop products that enable Okta customers to secure their workforce right from physical device bootup, providing frictionless, phishing-resistant, and passwordless authentication. In this role, you’ll get to: Grow and develop a research practice aimed at understanding the needs of the OPA and OV teams, collaborate with stakeholders to craft research questions and execute research Scope, prioritize, organize, and manage research initiatives across these teams. Exercise flexibility in research methodology (as appropriate for the product space and timeline) by designing and utilizing generative studies or evaluative research, appropriately. Facilitate cross-dis

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Toronto, ON – Onsite 4 Days/Week (Mon–Thurs) Relocation required if not local – no relocation assistance provided The Team At Okta, we’re building the world’s identity platform — one that empowers people, protects data, and fuels digital innovation. Our customers (think: JetBlue, T-Mobile, Sonos, Zoom) trust us to help them stay secure, seamless, and scalable in a world where everything and everyone is connected. And behind the tech? People like you — curious, motivated, collaborative learners who want to do meaningful work alongside great teammates. The Opportunity: Where High Potential Meets High Impact Let’s be real: There are a lot of SDR roles out there. But at Okta, we do things differently. This isn’t just a stepping stone — it’s your launchpad into a long-term sales career in one of the most exciting industries in tech: cybersecurity and identity. We’re looking for driven, curious individuals who thrive in fast-paced environments, embrace feedback, and want to make a tangible impact every day. As an SDR at Okta, you'll do more than prospect — you’ll uncover real business challenges, collaborate cross-functionally, and set the foundation for meaningful customer relationships. What You'll Be Doing Research accounts and contacts to develop thoughtful outreach strategies using tools like Salesforce, Outreach, and LinkedIn Sales Navigator Collaborate with Marketing and Account Executives to plan and execute prospecting campaigns Enga

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Join the Okta Device Access (ODA) team as an outcome-driven and customer-focused Product Manager. Okta Device Access unifies access management from any device to all applications to minimize modern security risks and improve business efficiency. As a Product Manager for Okta Device Access, you will own key product areas and contribute to the continued evolution of ODA to meet customer and business needs. You will work closely with senior product leaders, engineering, and design to define how enterprise organizations secure and manage identity on Windows and macOS endpoints - from deploying the first device, to day two troubleshooting, to fleet level visibility. If you’re passionate about improving customer security and engaging with a vibrant community, we’re looking for you. Your primary responsibilities in these areas will include: Define and execute the roadmap for the Okta Device Access Experience & Lifecycle Own the administrator experience for fleets of devices with Okta Device Access across multiple platforms Drive the Okta-joined administrator experience end-to-end: from enrollment and provisioning to support troubleshooting to device lifecycle management. Collaborate with engineering, design and research teams to define and document user stories and use-cases to guide product development. Conduct research and analysis to identify customer needs and pain points, and use this information to inform innovation, product decisions and prioritiz

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are, too, let's talk. Device Identity and Access Organization The Device Identity and Access organization is at the forefront of Okta’s Zero Trust vision. As a foundational pillar within Okta Research and Development (ORD), our mission is to transform the device itself into a secure, trusted, and effortless identity factor. We are the teams responsible for ensuring users can seamlessly interact with their work from any endpoint, anywhere in the world. We engineer the end-to-end device experience—from our flagship FastPass , Okta Device Access (ODA), and Device Assurance . Our teams own the continuous authentication pipeline, device lifecycle management, and the sophisticated cloud services that analyze real-time trust and assurance signals to make frictionless, passwordless access a reality across Windows, macOS, iOS, Linux and Android. Our organization is composed of engineers who thrive at the intersection of deep client-side platform engineering and massive-s

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company’s vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco headquarters. The Core Rider team is responsible for the Lyft consumer app you know and love. This team spans the entire consumer journey across the request and purchase flows, search, pickups and dropoffs, the post-match experience, and the in-trip experience. As a Staff Product Manager on the Core Rider team, you’ll lead a large cross-functional team to build the rider “journey” (anything that gets a rider from A to B.) This includes the home screen, request flow, pickup experience, in-ride experience, and rate & pay. You’ll also be responsible for how this “golden path” experience extends to serve AVs and segments of interest – owning targeted experiences like Lyft Silver for Seniors and Price Lock for commuters. This represents a large percentage of the core Lyft rider experience used by millions of people every day. Plus, the solutions you build need to work everywhere, from the simplest suburban home to JFK Airport, and all modes of transportation (rideshare, AVs, etc.). Responsibilities: Understand Lyft's strategic and competitive position. Set goals and success metrics that align with Lyft's mission and drive maximum impact based on data analysis, market research and usability studies Set an incredibly ambitious vision that motivates and i

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Team The Twitch UX Monetization team is responsible for helping streamers monetize on Twitch through viewer engagement across our product experiences. A Senior UX Designer on the Monetization Team is expected to lead design work at the program level, work with senior XFN partners, represent work to executive leadership, guide and mentor junior designers and will report directly to the Monetization Director of Design. About the Role Designers at Twitch are involved in development from project conception all the way through execution and iteration. You will have the opportunity to do hands-on research and collaborate closely with engineers. If you are a champion for designing for humans and create playful and caring software for your customers, you will flourish on this team. You Will: Collaborate with a cross functional development team of product managers, engineers, and designers Learn from streamers and viewers about the ways they use our services and their desires to accomplish more Think creatively about how to solve problems that will sustain streamers’ communities Give back to the design community at Twitch by using and improving existing patterns and approaches Combine qualitative and quantitative information to develop hypotheses about customer motivations and use that to improve

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Team The Twitch UX Monetization team is responsible for helping streamers monetize on Twitch through viewer engagement across our product experiences. A Senior UX Designer on the Monetization Team is expected to lead design work at the program level, work with senior XFN partners, represent work to executive leadership, guide and mentor junior designers and will report directly to the Monetization Director of Design. About the Role Designers at Twitch are involved in development from project conception all the way through execution and iteration. You will have the opportunity to do hands-on research and collaborate closely with engineers. If you are a champion for designing for humans and create playful and caring software for your customers, you will flourish on this team. You Will: Collaborate with a cross functional development team of product managers, engineers, and designers Learn from streamers and viewers about the ways they use our services and their desires to accomplish more Think creatively about how to solve problems that will sustain streamers’ communities Give back to the design community at Twitch by using and improving existing patterns and approaches Combine qualitative and quantitative information to develop hypotheses about customer motivations and use that to improve

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Support our team culture by working in the office 4 days a week (Monday - Thursday). This means you’ll have to live within commuting distance of the office you’ll be working in. Snowflake is seeking motivated people with a passion for technology and the drive to build an incredible career in SaaS sales. The Sales Development team plays a critical role in the growth of our organization. Our team works in collaboration with sales and marketing nurturing leads and setting qualified discovery calls that ultimately lead to new business and new revenue. IN THIS ROLE YOU GET TO: Build revenue pipeline by setting introductory meetings with target influencers and key decision makers Research and build new and existing accounts through rigorous outbound calling efforts and by creating/executing strategic email and social campaigns Perform analysis of inbound and outbound prospects’ business and engage with these prospects by phone and/or email Apply effective communication skills, collaborating directly with customers, sales and cross functional teams Work in a fast-pace environment, take the initiative to get stuff done, try new things and amplify your successes by sharing your findings with your team ON DAY ONE WE WILL EXPECT YOU TO HAVE: A passion for technology and software sales

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Summary We are seeking a motivated engineer to join the DRAM Systems Engineering team, focusing on the development, evaluation, and optimization of next-generation memory systems for AI accelerators. This role emphasizes research and development across hardware architecture, operating systems, and performance analysis to support Agentic AI inference workloads. If you are ambitious and eager to make an impact in the exciting world of AI and memory systems, this is the perfect opportunity for you! Responsibilities Characterize AI inference workloads and examine memory behavior Build and evaluate tiered memory hierarchies for AI accelerators Study KV cache lifecycles, MoE models, and data placement strategies Compare and optimize explicit versus hardware-assisted data movement Develop, test, debug, and detail system-level and OS components Prototype and evaluate agentic AI systems by building agents and multi-agent workflows using modern frameworks and orchestration patterns (planning, tool use, memory, and context management). Apply these technologies both as workloads under study and as accelerators for internal engineering workflows <h2 style="color:!importan

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.&n

About the Team DoorDash is building the world’s most reliable on-demand logistics engine for delivery! We’re looking for machine learning engineer interns to join our fast-growing engineering team to help us develop a 24x7 global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role As a Machine Learning Engineer intern at Doordash, you’ll work on tackling new challenges in machine learning and artificial intelligence. You’ll conduct research that can be applied across Doordash engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: Auction, Game theory, Recommender systems, Ranking, AdTech, Computer Vision, Causal Inference, and Big data analytics. We offer a 12-week summer internship program in our San Francisco, Sunnyvale, New York, or Seattle offices. You’re excited about this opportunity because you will… Use cutting-edge research in ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, Graph analysis to solve real-world problems across discovery, ads,forecasting, fulfillment and search experiences at Doordash. Contribute and execute on research ideas that can be applied and used to improve product experience at Doordash. Collect, analyze, and synthesize findings from data and use these insights to build relevant ML models. Write clean, efficient, and sustainable code We’re excited about you because you… Are working towards a Masters degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field and are graduating between Fall 2027 & Summer 2028 Have a mastery of at least one systems languages (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow) Have experience in research and in solving analytical problems Are a strong communicator and team player. Have a passion for applied ML and the Doordash product Ideally have

About the Team DoorDash is building the world’s most reliable on-demand logistics engine for delivery! We’re looking for machine learning engineer interns to join our fast-growing engineering team to help us develop a 24x7 global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role As a Machine Learning Engineer intern at Doordash, you’ll work on tackling new challenges in machine learning and artificial intelligence. You’ll conduct research that can be applied across Doordash engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: Auction, Game theory, Recommender systems, Ranking, AdTech, Computer Vision, Causal Inference, and Big data analytics. We offer a 12-week summer internship program in our San Francisco, Sunnyvale, New York, or Seattle offices. You’re excited about this opportunity because you will… Use cutting-edge research in ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, Graph analysis to solve real-world problems across discovery, ads,forecasting, fulfillment and search experiences at Doordash. Contribute and execute on research ideas that can be applied and used to improve product experience at Doordash. Collect, analyze, and synthesize findings from data and use these insights to build relevant ML models. Write clean, efficient, and sustainable code We’re excited about you because you… Are working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field and are graduating between Fall 2027 & Summer 2028 Have a mastery of at least one systems languages (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow) Have experience in research and in solving analytical problems Are a strong communicator and team player. Have a passion for applied ML and the Doordash product Ideally have work

The Opportunity This is a critical and exciting time at Enigma. Our customers consistently tell us that our data products create tremendous value and are deeply aligned with their most important workflows. As demand grows, we have an urgent opportunity to improve both the intelligence of our data and the systems through which customers access it. We are looking for an experienced Senior/Staff Machine Learning Engineer to join our Match Team and help shape the next generation of Enigma’s customer-facing data products. In this role, you will combine advanced statistical and machine learning research with the engineering systems required to power fast, relevant, and reliable search experiences at scale. This is a uniquely high-impact role sitting at the intersection of information retrieval, ranking systems, semantic search, distributed systems, and customer data delivery. The Role At the core of Enigma’s product is our data, which makes both data science and delivery systems central to what we build. As a Senior/Staff ML Engineer on the Match Team, you will lead efforts that improve the relevance, latency, and scalability of our customer-facing data products. You’ll work across the full lifecycle: framing retrieval and ranking problems, developing models and experimentation strategies, evaluating results using real-world signals, and implementing high-throughput search and retrieval systems. This role is ideal for someone who is excited by both hard ranking/search problems and the systems challenges of turning those solutions into low-latency, production-grade retrieval systems. What You'll Do Develop innovative solutions to complex problems in information retrieval, ranking, semantic search, query understanding, and recommendation systems Build and optimize low-latency, high-throughput search APIs, indexing pipelines, and retrieval systems using Python, Typesense, and AWS Evaluate and evolve our search technology stack, driving technical design decisions across index

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying autonomous technologies in a service used by millions of people, then we want to talk to you! About the Role As an Industrial Designer on our team, you will own the design of physical products and help elevate our brand’s experience through form, function and manufacturability. You’ll be responsible for leading concept ideation, CAD modelling and prototyping, working across mechanical, electronics and user-experience domains. You’ll collaborate closely with engineering, manufacturing, sourcing, user-research and marketing, and participate in decision-making around product direction. This role offers ownership across the design lifecycle — from early sketches through production launch. You're excited about this opportunity because... Lead end-to-end design projects: develop concept sketches, CAD/3D models, renderings and physical prototypes. Conduct research into user needs, market trends, materials, manufacturing processes (injection moulding, thermoforming, additive manufacturing) and competitive products. Translate design intent into detailed specifications: materials, geometry, finishes, ergonomics, manufacturing constraints. Collaborate cross-functionally with engineering, manufacturing and product to ensure feasibility, cost-effectiveness and alignment with brand and product vision. Build and iterate prototypes (3D prints, machined models, mock-ups), validate usability, aesthetics, functionality and manufacturability. Present design concepts, flows and prototypes to stakeholders, incorporate feedback and drive decisions. Contribute to design language, visual identity and brand consistency across products. Why You’ll Love This Role You’ll shape real, tangible products that users will interact with and rely on. You’ll work in a small, high-impact team where your contributions

About the Team At DoorDash, design shapes how millions of people connect with their local economy and we put our customers at the center of our product strategy. Our design team crafts thoughtful experiences across the ecosystem, from consumers ordering their favorite meals to merchants growing their businesses and Dashers delivering with care. About the Role Design is changing faster than at any point in the last decade, and we’re building the team that defines what comes next. As a Product Design Intern, you’ll get to work on real projects that impact our customers, merchants, and Dashers. You’ll collaborate with product, research, data, and engineering to prototype your concepts, test with real users, and ship improvements to millions of users. You will have the opportunity to join one of our core teams: Consumer, Merchant, Dasher, Ads & Promos, or Customer Experience & Integrity. Based on your skills, interests, and business priorities you’ll be paired with a dedicated manager and supported by a community of designers passionate about learning and helping each other grow. This will be a 12-week summer internship program hosted onsite at our San Francisco or New York City offices. There will be relocation support as needed. You're excited about this opportunity because you will… Drive a real project from early explorations to polished, shipped work that reaches millions of users. Use AI throughout your process — exploring divergent directions, building high-fidelity prototypes, and pressure-testing ideas — while helping shape how our product becomes smarter, more intuitive, and more human. Collaborate closely with designers, engineers, PMs, and researchers to identify opportunities and ensure high-quality implementation. Learn from a dedicated manager and a community of peers in a fast-paced, mission-driven environment that values curiosity, craft, and collaboration. We're excited about you because… You’re currently pursuing a degree in de