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The ideal candidate will have a strong background in machine learning, data engineering, and software development. Proficiency in programming languages such as Python and SQL, experience with big data technologies, and familiarity with cloud platforms are essential. A Bachelor's degree in Computer Science or a related field is preferred. Strong problem-solving skills and the ability to work collaboratively in a dynamic environment are also important.
About the job
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 Parallel Domain
Parallel Domain is at the forefront of innovation, creating the world’s most advanced digital twin and simulation platform. Our technology is pivotal for the development of autonomous systems, making a significant impact in fields like robotics and computer vision.
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 m…
Full-time|On-site|Vancouver, British Columbia, Canada
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.
Full-time|On-site|Vancouver, British Columbia, Canada
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!
At Spexi, we are at the forefront of drone technology, striving to revolutionize the accessibility of ultra-high-resolution geospatial imagery. Our mission is to empower individuals and organizations to make more informed decisions about our physical world.We are excited to introduce the Spexi Network, a groundbreaking two-sided marketplace driven by drones and blockchain technology. As the world’s first Fly-to-Earn platform, we enable drone pilots to earn rewards for capturing aerial imagery, while providing organizations with seamless access to high-resolution imagery and critical data. This innovative approach supports remote monitoring of buildings, infrastructure, natural resources, and more, allowing our users to enhance their planning and response strategies without the need for drone ownership or pilot hiring.We are seeking a Senior Machine Learning Engineer to spearhead the development of cutting-edge models, algorithms, and prototype systems that redefine the realm of geospatial imagery analytics. Your expertise will bridge cutting-edge research and production, delivering high-quality, well-structured code that lays the groundwork for the next generation of Spexi’s geospatial intelligence products.
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.
Full-time|On-site|Vancouver, British Columbia, Canada
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.
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.
Full-time|On-site|Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada
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.
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.
Temporary|On-site|Vancouver, British Columbia, Canada
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.
Full-time|$165K/yr - $185K/yr|On-site|Vancouver, British Columbia, Canada
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.
Full-time|$165K/yr - $185K/yr|On-site|New York; Seattle, Vancouver, BC
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.
Internship|On-site|Vancouver, British Columbia, Canada
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.
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.
Join our dynamic team at dialogdesign as an Intermediate Mechanical Engineer, where your expertise will contribute to innovative design solutions that shape the future of engineering. You will work closely with cross-functional teams to develop, implement, and refine engineering designs that meet client needs.
Full-time|$240K/yr - $300K/yr|Hybrid|Vancouver, British Columbia, Canada
Why Join UsAt Brex, we are redefining the way companies manage their spending through our AI-powered spend platform. Our suite of integrated corporate cards, banking solutions, and global payment systems, paired with intuitive software for travel and expenses, empowers businesses to allocate resources confidently. From startups to large enterprises like DoorDash, Flexport, and Compass, thousands of companies leverage Brex to proactively manage expenses, drive cost efficiency, and enhance operational effectiveness on a global scale.Joining Brex means pushing your boundaries, challenging conventions, and collaborating with some of the brightest minds in the industry. We are dedicated to fostering a diverse and inclusive team, where your potential is only limited by your imagination. We provide the tools, resources, and support necessary for you to advance your career.EngineeringOur engineering teams at Brex are committed to building systems that not only scale but do so with purpose and precision. With a focus on Software, Data, Security, and IT, our teams operate with significant autonomy and engage in deep collaboration. We take on complex technical challenges, take ownership of our results, and strive for excellence at every phase—from architectural design to deployment. Here, engineering is viewed as a craft, and builders are nurtured into leaders.Your RoleAs the Engineering Manager for our GTM Engineering team, you will lead a talented group responsible for enhancing Brex's growth engine across Marketing, Sales, and self-serve funnels. Your focus will be on building and refining our marketing website (Brex.com), GTM applications, top-of-funnel experiences, and AI-driven systems that improve efficiency, reduce Customer Acquisition Costs (CAC), and elevate sales and marketing effectiveness.Working EnvironmentThis position is based in our Vancouver office. We foster a hybrid work environment that blends the energy and connections of in-office collaboration with the flexibility of remote work. Currently, we require a minimum of two in-office days each week (Wednesday and Thursday); starting February 2, 2026, this will shift to three days per week (Monday, Wednesday, and Thursday). Additionally, we offer up to four weeks of fully remote work each year!Key ResponsibilitiesLead and mentor a high-performing team of product engineers, supporting their career development through coaching, constructive feedback, and hands-on guidance.Steer the architectural vision, technical strategy, and project execution for Brex.com and GTM applications while ensuring scalability, performance, and security.
cima2 seeks an Electrical Station Engineer based in Vancouver. This role centers on designing, implementing, and maintaining electrical systems for station projects. The engineer will join a multidisciplinary team focused on enhancing operational efficiency and reliability. Key responsibilities Design electrical systems tailored to station infrastructure needs Oversee the implementation and ongoing maintenance of these systems Work with colleagues from various technical backgrounds to drive operational improvements Requirements Background in electrical engineering, with experience related to station or comparable infrastructure Ability to collaborate effectively with professionals from different disciplines Motivation to support projects that boost reliability and efficiency
Full-time|$125K/yr - $140K/yr|Hybrid|Vancouver, WA
Are you a driven and dedicated professional looking to make a significant impact within a rapidly growing consulting and engineering firm? At Apex, we are committed to nurturing your growth and advancing your professional capabilities.With remarkable sales growth, exceptional client retention, strategic acquisitions, and an entrepreneurial spirit, Apex Companies has established itself as a leader in the engineering and environmental consulting industry in the US. We are honored to have been recognized by the Zweig Group as one of the fastest-growing firms in the AEC sector. Our dedication to delivering outstanding service has earned us numerous accolades for project excellence, and as we expand, we invite you to grow with us.We are on the lookout for a Senior Civil Engineer to join our vibrant team in Vancouver, Washington.
Join the dynamic team at cima2 as an Electrical Station Engineer. In this pivotal role, you will be responsible for the design, development, and implementation of electrical systems within our stations. You will collaborate with cross-functional teams to ensure optimal performance and compliance with regulatory standards. Bring your expertise to a company that values innovation and efficiency.
CIMA+ is on the lookout for a Mobility and Transportation Engineer to become a vital member of our dynamic Transportation team in Vancouver. This position is perfect for passionate professionals eager to influence the future of transportation in British Columbia and beyond. You will play a crucial role in business development and project delivery, aiding in the expansion of our Transportation Engineering practice both locally and nationally. We appreciate individuals who blend their existing expertise with a desire to learn new skills and contribute to groundbreaking solutions that align with industry advancements.Key ResponsibilitiesDrive business development initiatives by identifying new opportunities, nurturing client relationships, and crafting successful proposals.Lead impactful transportation projects, managing all phases from initiation to completion, while prioritizing quality, budget adherence, and timely delivery.Guide multidisciplinary project teams across traffic engineering, transportation planning, road safety, data analytics, and design (illumination, signals, etc.).Engage in strategic planning and client management to ensure project results meet client and community objectives.Collaborate with various sectors within CIMA+ to support cross-disciplinary projects and corporate growth strategies.Recruit and mentor junior staff, including students and Engineers in Training (EITs), to foster the development of future transportation professionals.As a Mobility and Transportation Engineer at CIMA+, you will significantly contribute to the advancement of our Transportation Engineering practice in British Columbia. Your business development responsibilities will include:Identifying and pursuing new business opportunities within the public and private sectors, focusing on provincial, regional, and municipal clients.Building and nurturing long-term client relationships by understanding their evolving transportation needs and delivering customized solutions.Producing proposal content including compelling technical strategies, coordinating inputs from subconsultants, and ensuring alignment with client expectations and industry benchmarks.Conducting market research and analysis to identify emerging trends, funding opportunities, and strategic partnerships that align with CIMA+’s growth objectives.Representing CIMA+ at industry events, conferences, and stakeholder meetings, enhancing visibility and positioning the firm as a leader in mobility and transportation innovation.Collaborating with internal teams to ensure that business development efforts align with corporate strategy, cross-sector initiatives, and regional priorities.Mentoring junior staff in best practices for service delivery, proposal development, and project management.
