Senior Solution Engineer Manufacturing in Canada

About the Team The Consumer Engineering Team is responsible for helping consumers discover and order everything they love globally. Our work spans the entire consumer journey across homepage, search, store discovery, item exploration, checkout and post checkout. We aim to craft a hyper-personalized, delightful and frictionless experience for millions of our customers. About the Role As a Senior Staff Machine Learning Engineer on Core Cx, you will set the personalization (P13n) strategy for the entire consumer shopping journey and bring that strategy to life. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across restaurant, grocery, retail and all business at DoorDash . You will modernize the recommendation system leveraging AI. You will demonstrate a strong command of production level machine learning, experience with solving end-user problems, and collaborate well with multi-disciplinary teams. You're excited about this opportunity because you will… Drive the engineering vision, strategy, and execution for an organization of 150+ Grow, build, and nurture impactful business-focused product engineering teams. Scale the team by developing leaders internally and attracting world-class talent Mentor and guide a fast-growing organization in setting the right architectural patterns, working with various vendors in the space, and making judicious investments in the right areas anticipating what the company needs a few years down the road. Partner with Business, Product, and other Engineering teams to transform DoorDash from local commerce to agentic commerce We're excited about you because you have… B.S. or M.S. in Computer Science or equivalent. 10+ years of industry experience developing machine learning models with business impact, and shipping ML solutions to production. Proficiency in using AI coding tools (e.g., Claude Code) in th

Overview: Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services. This is a hybrid position based in Toronto. What You'll Do: Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Senior Identity Security Engineer on Palantir's Identity Security team, you will own the security posture of the identity infrastructure that Palantirians, customers, and services rely on every day. The Identity Security team is responsible for all identity types at Palantir - workforce, customer, workload, and agentic - giving you the rare ability to architect, threat model, and drive security outcomes across the full identity surface. You will help shape the technical direction for identity security at Palantir, reduce standing access, lead identity threat modeling, and contribute to the next generation of identity primitives including agent identity, JIT-native governance, and unified policy enforcement across workforce and customer IAM. As part of Palantir's best-in-class Information Security organization, you will research, architect, and scale solutions that help Palantir stay ahead of a dynamic identity threat landscape.

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. About Okta for AI Agents Okta secures access for 20,000 organizations and billions of users. Okta for AI Agents extends that work to the agentic shift. Deploying an AI agent is not like deploying traditional software. You are putting professional work output into production, and it needs deep integration, continuous tuning, and change management. Every agent needs an identity, a scope, an audit trail, and a way to be shut down when it goes wrong. Most enterprises have not built this yet. We are. We hire builders who see the cracks in enterprise agent identity that everyone else has learned to live with. The Role You embed inside four to five of Okta’s most strategic enterprise customers as their dedicated technical partner for agent identity. You sit alongside their identity, platform, and security engineering teams, write production code in their environment, and own the technical outcome from prototype through production. You are a builder-consultant. You go past architecture diagrams to code, debug, and ship bespoke agent identity solutions inside the customer’s environment. You ship secure agents faster for the customer, and you feed real field insight back to Okta product engineering. Responsibilities Become the customer’s trusted technical voice on agent security. Sit in their standups, design reviews, and incident response. Earn a seat on their architecture review board and security council for agent risk decisions. Architect and deploy with the cust

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Robinhood's Enterprise Security team is at the forefront of AI security, designing safety guardrails for cutting-edge AI and driving modern enterprise-wide security tooling standards. As a Senior Corporate Security Engineer on our Corporate Systems team, you will operate at the center of our enterprise security infrastructure, maintaining the control plane for user-facing security tooling and building innovative solutions that keep our employees and platform secure! In this role, you will combine security engineering, systems administration, and hands-on AI agent development to drive key automation and safety initiatives. Joining a lean, high-impact team, you will have high visibility and direct empowerment to take strategic initiative, solve complex technical challenges, and shape Robinhood's AI security posture. This role is based in our Menlo Park or Bellevue office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

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 Mapping team at Lyft is tasked with building a digital representation of the physical world - a map. We collect and serve the freshest and most accurate mapping data possible, along with algorithms, models, platform services, and map-based user experiences that power Lyft’s current and future transportation offerings. Mapping represents a huge opportunity for Lyft’s business, but also a big challenge. We build and scale systems that deal with large data storage, real-time data processing, machine / deep learning pipelines, routing and ETA models, driver and passenger location tracking, and more. We built beautiful and magical user experiences on top of all those services, and compete with companies that have been in the mapping business for decades. To strengthen our efforts, we are hiring a Senior ML Engineer who will work end-to-end on creating and improving new capabilities to detect changes in the environment and reflect them in our Lyft map using a wide variety of input sources from the Lyft fleet. For this we are looking for someone who values software engineering best practices, loves the algorithmic and geospatial side of the challenge and is data-driven from start to end. Our technology stack ranges from basic machine learning models to large language models and running them at scale on millions of images. You will work with incredibly passionate and talented colleagues from machine learning, data science, and engineering on projects that delight our passengers and drivers – powered by an up to date map. Responsibilities: Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing proble

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

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions. As Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption. The Role Artefact is looking for a Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production. You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the React front end, the Python or Node service behind it, the RAG pipeline feeding it, and the evaluations proving it works. This role combines breadth and depth: the ability to take a feature from front end to cloud deployment, together with strong expertise in at least one major AI platform — Google (Gemini), Anthropic (Claude), or OpenAI. You will work with direct client exposure, and you will support the professional development of the junior engineers around you. What You'll Do Build Full-Stack AI Applications, End to End You will build AI products across the entire stack, from interface to infrastructure. Develop user-facing interfaces in TypeScript/React and the backend services and APIs behind them in Python or Node. Implement a

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 highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine le

About the Team DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role We are seeking a highly motivated Senior/Staff Test Engineer to join our team. This individual will play a key role in the development and validation of our unmanned platforms at the system and component levels. The ideal candidate has a strong background in test development, test execution, and root cause analysis with a proven track record of collaboratively managing risk throughout a fast paced development process. You’re excited about this opportunity because you will… Run and monitor tests within our facility as well as at outside test labs. Collaborate with a tight knit team to identify and understand test failures. Be hands-on in developing test methods and equipment to uncover failures before they happen in the field. Find clarity through root cause analysis of lab and field failures and suggest design changes to prevent them. Use your creativity to create novel and scaled tests for autonomous systems. We’re excited about you because you have… A bachelors or advanced degree in a relevant engineering discipline. Mastery of test equipment such as environmental chambers, vibration tables, water testers, DAQs, etc.. Ability to bring order to complex test and development programs via clear technical communication and documentation. Experience designing and building testers and equipment. Ability to write Python scripts to automate

About the Team DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role We’re looking for a Senior/Staff electrical and firmware engineer who designs the board and writes the firmware for connected consumer and enterprise devices, including tablets, POS systems, peripherals, and emerging robotics applications. In this role, you will take connected devices from ambiguous user or business needs through system architecture, rapid prototyping, board design, firmware implementation, bring-up, field deployment, and production transition. The ideal candidate has a passion for building and shipping reliable hardware at scale and thrives in an environment that demands technical depth and high-quality execution across multiple concurrent programs. This is a build-heavy role on a small, senior team. You’re excited about this opportunity because you will… Own connected devices end to end, including: Own connected devices from an ambiguous product need through field deployment. Work across the hardware and firmware boundary instead of handing work between specialists. Explore uncertain product ideas through rapid prototypes and experiments. Make consequential tradeoffs on a small, senior team with direct exposure to users and field behavior. Key Responsibilities Translate user and business needs into an integrated electrical and firmware architecture. Design compute-based, mixed-signal boards incorporating processors

About the Team DoorDash Labs is an independent innovation hub within DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. Our mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We are a highly senior team composed of former pioneers from a variety of different robotics industries. If you have a passion for applying AI and robotics solutions in a service used by millions of people, then we want to talk to you! Please Note: This role is based in San Francisco, CA, and requires being in-person 5 days a week. About the Role We are seeking a Senior RF Engineer to join our multidisciplinary team developing mission-critical RF/electrical systems for unmanned platforms.This role offers a rare opportunity to gain deep insight into RF design and validation, contributing across the full product lifecycle, from early concept and prototyping through production. In this role, you will apply deep expertise in electromagnetic theory and wireless system design to ensure autonomous platforms operate with exceptional reliability and precision. You will design, optimize and validate RF / mixed-signal PCBAs with a strong focus on interference mitigation, troubleshoot system-level desense, and leverage a thorough understanding of wireless technologies including LTE, 5G NR, Wi-Fi, GPS, and UWB. You’re excited about this opportunity because you will… Lead the development of innovative solutions that span across RF, Mixed signal and mechanical domain. Design RF hardware as well as wireless testbeds to support system validation, and lead the execution and documentation of system-level design and verification Provide expertise, mentorship to partner teams regarding EMI mitigation strategies, and cross-functional debug processes Characterize EMI caused by internal & external aggressors by tracing root causes using EMC probes

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As a Staff Software Engineer, you’ll own the platformization roadmap for shared services, architecting a plan to decouple existing functionality into highly reusable services. Your impactful work helps improve Dialpad’s developer experience, productivity, security, and scalability. This position reports to our Senior D

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? In this role, you will have ownership of the full sales cycle - from identifying leads to closing deals with Global 2000, large enterprises within Western Canada. We’re looking for an approachable and compelling communicator who loves working with prospects to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them achieve their business goals. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across customer success, sales development, marketing, and solution architecture. You’ll be the voice of the field and help our product and engineering teams prioritize the Cohere roadmap with customer-centric care. It’s a highly self-directed role, so you should be someone who thrives in an unstructured and quickly evolving environment. And your opportunity for impact will be astronomical — Cohere has skies-the-limit potential, and you’ll help us reach it. As an Account Executive you will : Focus on net-new logo acquisition via outbound activity and relationship building with key stakeholders while also

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? In this role, you will have ownership of the full sales cycle - from identifying leads to closing deals with Global 2000, large enterprises within Eastern Canada. We’re looking for an approachable and compelling communicator who loves working with prospects to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them achieve their business goals. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across customer success, sales development, marketing, and solution architecture. You’ll be the voice of the field and help our product and engineering teams prioritize the Cohere roadmap with customer-centric care. It’s a highly self-directed role, so you should be someone who thrives in an unstructured and quickly evolving environment. And your opportunity for impact will be astronomical — Cohere has skies-the-limit potential, and you’ll help us reach it. As an Account Executive you will : Focus on net-new logo acquisition via outbound activity and relationship building with key stakeholders while also