Data Analytics Engineer in Canada

We are seeking an experienced and detail-oriented US Payroll Specialist to oversee our end-to-end multi-state payroll operations. In this role, you will ensure accurate, timely, and compliant payroll processing for all US-based employees while managing internal payroll initiatives. The ideal candidate is a strategic problem-solver with deep expertise in US labor laws, taxation, and ADP+Workday payroll systems. You will: Full-Cycle Payroll Processing: Oversee the accurate and timely processing of multi-state bi-weekly and semi-monthly payrolls for over a thousand exempt and non-exempt employees across most of the USA. Compliance & Taxation: Ensure strict adherence to federal, state, and local tax laws, as well as FLSA regulations. Monitor regulatory changes and update internal systems accordingly. Year-End Processing: Manage year-end payroll activities, including W-2 and W-2c generation, fringe benefit reporting, and annual tax reconciliations. Cross-Functional Collaboration: Partner closely with HR to ensure accurate data flow for onboarding, offboarding, benefits deductions, and compensation changes. Ability to work with Accounting to ensure accurate general ledger mapping, month-end close procedures, and payroll account reconciliations. System Administration & Optimization: Act as the primary subject matter expert for our payroll system (e.g., Workday, ADP). Identify bottlenecks, recommend process improvements, and lead system upgrades or implementations. Issue Resolution, Continuous Improvement & Auditing: Conduct regular audits of payroll data to identify and resolve discrepancies. Serve as the ultimate point of continuous improvement with AI and other methodologies to ensure Scale’s payroll processes are best in class. Ideally you'd have: 5+ years of payroll experience. Strong organizational skills; the ability to get all priority tasks completed by the end of each day. Confidentiality and integrity. Accuracy under pressure and extreme attention to

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 Airports team is part of a mission-critical endeavor that keeps travelers moving smoothly. As an engineer on our team, your role will be essential in making sure drivers and riders enjoy a dependable experience at airports. You'll work hand in hand with various teams across Lyft, fostering collaboration and driving innovation to tackle the unique challenges of the travel and airports industry. Your responsibilities will also involve managing real-time communication with airports, ensuring our technology integrates seamlessly into their operations. Your skills will be the driving force behind enhancing the airport journey for millions. Responsibilities: Drive high-impact projects and innovate new solutions to provide the best user experience. Lead large features from idea to positive execution and launch Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge Participate in our teams on call rotation. Identify, triage, debug and resolve issues/bugs across our various applications and platforms Have the ability to explain the various trade offs made in decisions Manage project priorities, deadlines, and deliverables. Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience 2-5+ years of software engineering/production infrastructure industry experience Experience with Python, Go Proficiency in object-oriented programming Experience working with data structures or algorithms Ability to work with a low-ego, highly collaborative, and cross-functional team Bonus points: experience pursuing side projects or open-source project Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled M

About the Role: We're seeking a Director of Product Support Operations to lead the team that runs how Tubi's Tech Org plans, executes, and ships. PSO is a deliberately lean, AI-first team of Technical Program Managers and Customer Experience specialists built around three durable jobs: orchestrating agentic systems, people, and the cross-team programs that land Tubi's most complex initiatives for over 100 million monthly active users. You will own the Tech Org's most complex, company-level programs, spanning live events, platform integrations, monetization, and financial operations, along with the agentic systems that carry the org's operational load. You will also own the customer experience function end to end and run the Tech Org's operating cadences, including planning cycles, executive business reviews, and org-wide communications. You'll work closely with engineering, product, design, data science, and finance leaders as a trusted executive partner. This team consists of builders, not just coordinators. If you're passionate about building with AI rather than coordinating around it, landing complex programs at company scale, and developing world-class talent while staying hands-on yourself, this is the role for you. This is a hybrid role based out of our San Francisco, New York, Los Angeles, or Toronto offices. What You'll Do: Define the multi-year strategy and 12-month roadmap for Product Support Operations, aligning the portfolio with company objectives Lead, develop, and recruit high-performing Technical Program Management and Customer Experience team members, setting a high bar through direct feedback and rigorous performance management Operate as a player-coach: personally design, ship, and maintain agentic workflows and lead high-stakes programs while modeling the builder-TPM standard for the function Own execution of the Tech Org's most complex, company-level programs spanning multiple organizations and external partners, with impact validated by metrics

About the Role: Join us in shaping the future of streaming. Tubi is a free, ad-supported streaming service with a mission to make entertainment accessible to everyone. We serve millions of viewers with a massive library of movies, TV shows, live channels, and personalized recommendations, all without a subscription. As streaming continues to evolve, Tubi is building the technology, product experiences, and platform capabilities that help people discover and enjoy content effortlessly across every screen. If you’re excited by consumer-scale mobile engineering, high-quality user experiences, and the opportunity to impact how millions of people watch entertainment, we’d love to meet you. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. About the team: The Android team at Tubi builds the app experience that millions of users rely on to discover, browse, and watch content. We care deeply about performance, stability, accessibility, and thoughtful product execution. Our work spans core playback experiences, content discovery, personalization, onboarding, advertising experiences, and the mobile platform foundations that help teams ship quickly and safely. As a Senior Android Engineer, you will design, build, and deliver high-quality product features for Tubi’s Android app. You’ll work closely with Product, Design, Backend Engineering, QA, Data, and other client teams to create intuitive, reliable, and scalable mobile experiences. You’ll also help guide technical direction, improve engineering standards, mentor other engineers, and contribute to the long-term health of our Android codebase. This is a role for someone who enjoys building polished consumer products, solving complex technical problems, and raising the bar for Android engineering. What you’ll do Build elegant, performant, and reliable Android experiences using Kotlin and modern Android development practices Lead the full l

About the Role: As a Staff Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi. A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine. You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams. Responsibilities: Design and build scalable, high throughput, and low latency distributed systems using Scala Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art. Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc. Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi. Your Background: Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM b

About the Role The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming. We are seeking a VP / Director of Machine Learning Engineering to lead and build a high-performing team while staying close to the technical work. This is a hands-on leadership role: you will set the strategic direction for our recommendation, personalization, and ads optimization systems, including recommendation foundation modeling, and you will stay in the algorithms and the code, conducting deep dives into modeling components and guiding the hardest technical decisions yourself. You will tackle complex machine learning problems at scale and partner closely with cross-functional teams to ship solutions that measurably improve how hundreds of millions of viewers experience Tubi. What You’ll Do Lead, build, and grow a high-performing ML engineering team, fostering a culture of technical excellence, ownership, and rapid iteration. Define and drive the ML strategy and long-term technical roadmap for recommendation, personalization, and ads optimization, including recommendation foundation modeling, identifying opportunities for ML to shape Tubi’s broader product and business strategy. Stay hands-on: conduct deep dives into algorithmic components and systems, ensuring models are optimized for both performance and scalability across regions and product areas. Lead the design, development, and implementation of advanced recommendation systems and algorithms, contributing directly to the most challenging technical problems. Build and deploy robust, full-stack ML pipelines: data extraction, feature development, model training, testing, deployment, and serving. Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming. We are seeking a Director of Machine Learning Engineering and Infrastructure to lead a hybrid team bridging advanced ML engineering with world-class infrastructure design. In this role, you will own the strategic direction and execution for scaling our machine learning capabilities while ensuring our distributed systems and infrastructure can support innovation at massive scale. You will combine technical depth with leadership excellence to guide teams that deliver both foundational ML systems and high-performance distributed services. This is a hybrid role for our Toronto office. What You'll Do: Lead and manage high-performing teams across ML engineering and ML infrastructure, fostering a culture of innovation, collaboration, and growth. Define and execute the strategic roadmap for ML systems, including recommendation, personalization, and ads optimization. Oversee the design, development, and deployment of scalable ML pipelines: data ingestion, feature engineering, model training, evaluation, and serving. Architect distributed systems to support ML workloads at scale, ensuring reliability, observability, and operational excellence. Partner closely with Product, Engineering, and Content teams to align on business goals and deliver impactful ML-driven experiences. Support best practices in experimentation, evaluation, and ML system monitoring. Ensure cost efficiency, scalability, and performance in ML infrastructure investments. Your Background: 10+ years of industry experience spanning machine learning engineering and distributed systems. 3+ years of leadership and management experience, with a proven ability to build and lead strong t

Industrial Designer San Francisco, CA - Hybrid At IDEO, we use design to create new products, services, experiences; tangible strategies; and creative capabilities. IDEO San Francisco is in search of a new Industrial Designer to partner with interdisciplinary teams designing innovative and human-centered physical products and services. This role will own a hands-on workstream emphasizing creative problem solving, core industrial design skills, rapid prototyping and advanced visual storytelling. The ideal hire will champion hands-on making & prototyping, and collaborate fluidly with a wide variety of design professionals from communications design to UX researchers (and everything in between).This hire will have the unique opportunity to design cutting edge products, and grow as a Design Thinking practitioner within IDEO’s diverse network of Design Directors, Partners and Business Leaders. At IDEO, an Industrial Designer is responsible for independently executing components of highly complex client projects, showcasing advanced skills in user-centered physical product design . You will integrate form and function, while balancing user needs and technical considerations to create solutions that resonate with users and businesses alike. What makes a career at IDEO unique is our radical empathy and compassion for the user, always leading with creative confidence and collaborative rigor. You will work with world-class researchers, business designers, data scientists, and others disciplines outside of design, to push the edges of your craft, creating solutions that are as inclusive as they are transformative. We are especially excited to meet candidates with exceptional visual storytelling abilities, a drive to “get out from behind the screen” by prototyping in both digital and physical realms, and a grounding in design for manufacturing (DFM). This hire must be within a commutable distance of IDEO’s San Francisco studio. IDEO proudly supports flexible work. Onc

We are looking for research interns to join our Quantitative Equity team for 4 to 8 months starting in January or May 2027. We are a top-performing quant fund that manages over $111 billion in financial assets, with a track record spanning more than two decades. As a privately owned firm, we take a long-term perspective, investing in lasting business success and the long-term careers of our people. What You Will Do Investing presents a rich set of research problems that you will explore in this role. Quantitative Researchers lead the development of our investment models and strategies. As an intern, you will work on a real investment research project that requires thinking deeply about the factors that determine business success and modeling the complex dynamics of capital markets, including how information is created, interpreted and reflected in prices. Y our work will have a direct impact on investment outcomes. You will own your research project from beginning to end, including idea generation, signal construction, backtesting and calibration. There is plenty of opportunity to collaborate with your peers and receive mentorship from senior members of our research team. Our team works with: State-of-the-art techniques, including reinforcement learning, large language models, AI agents and econometric methods Large financial and alternative data Advanced technologies, such as high-performance computing infrastructure and custom research systems What You Bring Exceptional quantitative and technical ability : a strong foundation in mathematics, statistics, computer science, economics, finance or a related discipline An interest in finance: an interest in the domain is essential ; an understanding of capital markets and the drivers of business success is valuable but not required Evidence of exceptional ability and achievement: demonstrated through academic, professional, research, competition, entr

We are looking for researchers to join our Quantitative Equity team. We are a top-performing quant fund that manages over $111 billion in financial assets, with a track record spanning more than two decades . As a privately owned firm, we take a long-term perspective, investing in lasting business success and the long-term careers of our people. What You Will Do Investing presents a rich set of research problems that you will explore in this role. Quantitative Researchers lead the development of our investment models and strategies. This requires thinking deeply about the factors that determine business success and modeling the complex dynamics of capital markets, including how information is created, interpreted and reflected in prices . Y our work will have a direct impact on investment outcomes. You will own your research projects from beginning to end, including idea generation, signal construction, backtesting and calibration. There is plenty of opportunity to collaborate with your peers and receive mentorship from senior members of our research team. Our team works with: State-of-the-art techniques, including reinforcement learning, large language models, AI agents and econometric methods Large financial and alternative data Advanced technologies, such as high-performance computing infrastructure and custom research systems What You Bring Exceptional quantitative and technical ability : a strong foundation in mathematics, statistics, computer science, economics, finance or a related discipline An interest in finance: an interest in the domain is essential ; an understanding of capital markets and the drivers of business success is valuable but not required Evidence of exceptional ability and achievement: demonstrated through academic, professional, research, competition, entrepreneurship, or other accomplishments We welcome applications from candidates with different levels of experience, including

Position: Project Management Analyst (PMO) Location: Toronto, ON Work Arrangement: Hybrid – 4 days per week in office (office in downtown Toronto) Salary: $57,000 About mthree: Since 2010, mthree has been helping clients solve their business and technological challenges. We are a technology and business consultancy with a global workforce delivering significant business and IT projects in some of the largest financial services organizations worldwide. Core Services Consulting and Advisory Managed Services Alumni Graduate Program Alumni Pro Program We have a global presence and are experts in delivering exceptional quality to our client base, providing consulting services across Risk, Regulation & Compliance; Vendor Products; Application Support; Application Development; Cyber & Information Security; Data Science and DevOps areas. Our alumni program offers experienced professionals access to top roles in tech, finance, aviation and insurance. Join us to work on groundbreaking technology projects, from international trading platforms to critical applications for leading airlines. We recruit professionals who are eager to fast-track their careers in technology or operations within prestigious

Want to work in technology at an investment bank? Graduate training, ongoing support, opportunities at leading global employers – the Alumni graduate program gives you everything you need. (And don’t worry, there’s no training bond. No exit fees, no hidden catches).Here at mthree, we pair great graduates with brilliant global businesses. Our clients include tier one investment banks and other organizations across a range of industries, from insurance to healthcare to travel.This is an exciting opportunity to join an FX Front Office support team in a major North American bank working on the Toronto Trading floor, supporting both front office users and a progressive eFX programme. What you'll do: Support IT solutions for various business lines globally including FX, Money Market, STIR and Options Offer technical expertise and support for the systems used Manage and resolving incidents and outages Manage requests for changes, system releases and capacity planning Disaster recovery, planning and execution How the Alumni program works: Apply via this job advert. Complete our assessment process. Get trained at mthree Academy in an online class for 4-8 weeks with other graduates. Join a mthree client for 12-24 months while receiving support and salary increases every 9 months. The vast majority then convert to permanent employees with the client at the end of the program. What you’ll learn at the mthree Academy: How to discuss production support activity at a high level including ITIL (information technology infrastructure library), monitoring, DevOps, SRE (site reliability engineering), and disaster recovery. How to discuss common financial topics, including financial markets, equity trading, derivatives, currency, treasury, regulation, and risk. How to write a basic computer program in Python, including user input, common data structures, and flow of control. How to use MySQL to perform CRUD (create, read, update and delete) operations on a relational database stored in

Want to work in technology at an investment bank? Graduate training, ongoing support, opportunities at leading global employers – the Alumni graduate program gives you everything you need. (And don’t worry, there’s no training bond. No exit fees, no hidden catches).Here at mthree, we pair great graduates with brilliant global businesses. Our clients include tier one investment banks and other organizations across a range of industries, from insurance to healthcare to travel.This is an exciting opportunity to join an FX Front Office support team in a major North American bank working on the Toronto Trading floor, supporting both front office users and a progressive eFX programme. What you'll do: Support IT solutions for various business lines globally including FX, Money Market, STIR and Options Offer technical expertise and support for the systems used Manage and resolving incidents and outages Manage requests for changes, system releases and capacity planning Disaster recovery, planning and execution How the Alumni program works: Apply via this job advert. Complete our assessment process. Get trained at mthree Academy in an online class for 4-8 weeks with other graduates. Join a mthree client for 12-24 months while receiving support and salary increases every 9 months. The vast majority then convert to permanent employees with the client at the end of the program. What you’ll learn at the mthree Academy: How to discuss production support activity at a high level including ITIL (information technology infrastructure library), monitoring, DevOps, SRE (site reliability engineering), and disaster recovery. How to discuss common financial topics, including financial markets, equity trading, derivatives, currency, treasury, regulation, and risk. How to write a basic computer program in Python, including user input, common data structures, and flow of control. How to use MySQL to perform CRUD (create, read, update and delete) operations on a relational database stored in

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role As a Software Engineering Intern on the Systems team at HP IQ, you’ll work on low-level software that sits close to the hardware and helps power intelligent experiences across our products. This role is ideal for students who enjoy understanding how complex systems work under the hood. You’ll have the opportunity to work across multiple layers of the software stack, investigate performance bottlenecks, optimize system behavior, and build software that interacts closely with hardware and system resources. We’re looking for engineers who are curious about more than whether something works — you want to understand how it works, why it performs the way it does, and how to make it better. What You Might Do Build and optimize low-level systems software using languages such as C and C++. Investigate performance bottlenecks and improve the speed, efficiency, and reliability of existing systems. Work on data processing and sensor pipelines that connect software with underlying hardware. Analyze and improve memory usage, resource management, and system performance. Work across multiple lay

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role The AI team is building cutting-edge solutions that bring the power of AI directly to edge devices while seamlessly integrating with cloud infrastructure. We are looking for a Lead Software Engineer to design and develop high-performance, scalable services to support AI workloads across edge and cloud environments. What You Might Do Design, build, and maintain services that power AI-driven applications, ensuring scalability and performance. Develop APIs and microservices that facilitate seamless integration between cloud-based AI models and edge devices. Optimize data pipelines and storage solutions for real-time AI inference and processing. Implement security and privacy best practices for distributed AI systems. Work closely with AI researchers, infrastructure engineers, and frontend developers to deliver end-to-end AI-driven solutions. Build and optimize an agent orchestration runtime that enables tool use, memory management, and multi-step reasoning across LLMs, APIs, and edge-connected systems. Develop robust logging, monitoring, and alerting systems to ensure system reliability.