Staff Machine Learning Engineer - General AI, ML & Big Data

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.

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

Join Our Innovative TeamSanctuary AI is at the forefront of developing dexterity-driven Physical AI for versatile robots. We are on the lookout for talented Machine Learning Engineers to become part of our dynamic team of engineers, researchers, and scientists. Together, we are committed to overcoming significant challenges in robotic perception, dexterous manipulation, planning, and reasoning.In this role, you will concentrate on creating robust systems to train and implement machine learning policies in robotic platforms. You will collaborate closely with researchers to introduce and execute cutting-edge ML techniques in production environments. Utilizing our state-of-the-art in-house robotic systems, you will design, test, and enhance software that connects advanced methodologies to practical outcomes. This role presents a unique opportunity to contribute to both the engineering foundations and the applied ML capabilities that propel our robots into the future.Note: Your role may require occasional travel (typically one to two weeks at a time, several times a year) to work closely with partners and teams on essential projects.

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!

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.

Rivian and Volkswagen Group Technologies brings together two leaders in automotive innovation to shape the future of mobility. This collaboration focuses on developing advanced operating systems, zonal controllers, and cloud connectivity for software-defined vehicles. The team is dedicated to solving challenges in electric vehicle technology, aiming to set new standards in the industry. By combining expertise in connectivity, artificial intelligence, and security, the partnership works toward a more connected and sustainable future. Role overview The Senior Data Engineer, Ingestion Framework, joins the Data & AI Platform team in Vancouver. This role centers on supporting the big data platform, which operates at a petabyte scale. The main focus is on architecting and maintaining a custom vehicle data processing framework built with Go, and ensuring it integrates smoothly with the Databricks platform. What you will do Design and maintain a custom-built data ingestion framework using Go. Support seamless integration between the ingestion framework and Databricks. Help ensure reliable, large-scale operation of the vehicle data platform. Location This position is based in Vancouver, British Columbia.

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

Join Cerebras Systems as an AI/ML Research Scientist and be part of a pioneering team at the forefront of advanced technology. In this role, you will leverage your expertise in artificial intelligence and machine learning to develop innovative solutions that will revolutionize the field. Collaborate with top-tier researchers and engineers to push the boundaries of what's possible.

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.

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

Location: Vancouver, Canada (Remote options available for US or Canada)Type: US Applicants – Full-Time; Canadian Applicants – Independent Contractor Human Agency partners with organizations to design and implement AI strategies that prioritize people. The team brings together creative producers, technical experts, and entrepreneurial leaders to deliver practical, user-friendly solutions. Collaboration and hands-on leadership shape the culture, and everyone is encouraged to share ideas, accept feedback, and aim for high-quality results. Clients count on Human Agency for work that is both effective and visually appealing. The company’s approach centers on understanding each client’s mission and acting as a true partner in solving complex challenges. AI is seen as a tool to enhance human potential. The team supports clients from strategy and advisory through to implementation and education, always with a focus on responsible, thoughtful innovation. Growth at Human Agency comes from hiring people who challenge, inspire, and elevate the team across strategy, engineering, design, data, and operations. The goal is to bring on those who are stronger and help everyone advance together. Role overview The Chief of Staff to the Managing Director of AI works closely with leadership, blending strategic thinking, technical insight, and hands-on execution. This position helps shape and implement AI-driven processes, develop autonomous systems, and lead organizational initiatives. The Chief of Staff ensures projects in the AI solutions practice run smoothly and meet high standards for precision and impact. What you will do Partner with the Managing Director of AI to drive strategic priorities and organizational transformation Create and refine AI-driven processes and autonomous systems Lead and coordinate cross-functional initiatives within the AI solutions practice Support hands-on execution to ensure timely and accurate delivery of projects Who thrives here People who value collaboration and direct feedback Those comfortable moving between strategy and execution Individuals committed to responsible AI and human-centered innovation Team members who enjoy working with diverse disciplines and solving complex challenges

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.

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.

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

Join Databricks, a pioneering force in data and AI, as we strive to redefine the way businesses leverage data insights! Our mission spans from revolutionizing transportation to enhancing medical advancements through our unparalleled data and AI infrastructure platform. With a foundation built by engineers and a relentless focus on customer needs, we tackle complex technical challenges, from crafting next-generation UI/UX to scaling our services across vast virtual environments. Our journey is just beginning. With the establishment of our Vancouver R&D center, we are expanding our footprint in the Pacific Northwest and are on the lookout for exceptional engineers to help us democratize data and AI. The Vancouver site is poised to become a vital hub for product innovation at Databricks. We are excited to bring strategic initiatives to this location and have multiple roles available across various teams, including: Log Analytics - As more customers utilize Databricks for real-time analysis of petabyte-scale logs, our team faces new challenges across the data processing pipeline, including ingestion, indexing, and processing. AI/BI - Our AI/BI solutions are transforming Business Intelligence for the AI era, with remarkable adoption rates (98.7% among our data warehousing clients). Join us to work on advanced dashboarding, visualizations, and innovative talk-to-your-data functionalities. Unity Catalog Business Semantics - Context is essential for AI, and our Unity Catalog ensures that enterprise data context is meticulously governed and managed. Our recent launch of the Unity Catalog Metrics marks a significant milestone, with more innovations ahead for this team focused on distributed systems, data modeling, governance, and AI integration. Databricks Apps - As one of our fastest-growing products, Databricks Apps has over 2,500 users creating more than 20,000 apps. This team works on low-level platform components, including Kubernetes and networking, while heavily investing in AI-driven app builders.

Join Databricks, where our mission is to simplify and democratize data and AI. We are pioneering the next wave of technological advancements, from transforming transportation to accelerating medical breakthroughs. Our world-class data and AI infrastructure platform empower customers to harness deep data insights and enhance their business operations. With a foundation built by engineers who are dedicated to customer satisfaction, we embrace every challenge, from crafting next-gen UI/UX to scaling our services and infrastructure across millions of virtual machines. The journey has just begun!As a Fullstack Software Engineer, you will collaborate with your team and product management to distill complex data insights into simple, user-friendly experiences. We seek engineers driven by a passion for customer-centric solutions, capable of taking ownership of the entire product lifecycle and user experience beyond mere technical implementation. You will play a critical role in establishing the groundwork for building robust, scalable, and delightful products.Our Vancouver location marks the newest R&D hub for Databricks, allowing us to expand our footprint in the Pacific Northwest. We are actively seeking exceptional engineers to join us in our quest to democratize data and AI. We envision this site becoming a pivotal center for product innovation at Databricks, with several strategic areas being developed here, including:Log Analytics - Our clients increasingly rely on Databricks for real-time analysis of petabyte-scale logs, presenting new challenges across the data processing pipeline, including ingestion, indexing, processing, and enhancing user experience.AI/BI - AI/BI is reshaping Business Intelligence for the AI era. Since its launch last summer, adoption has soared (with 98.7% of our data warehousing customers utilizing AI/BI). Our innovative products feature rich dashboarding, advanced visualizations, and powerful talk-to-your-data solutions, encompassing exciting technical challenges across the entire stack.Unity Catalog Business Semantics - In the world of AI, context is paramount. Unity Catalog Business Semantics ensures that enterprise data context is effectively governed and managed. After launching our first Semantics modeling capability, Unity Catalog Metrics, at the recent Data + AI Summit, we have ambitious plans for the future. Engineers in this team navigate the intersection of large-scale distributed systems, data modeling, governance, and AI enablement.Databricks Apps - Databricks Apps is one of the fastest-growing areas in our portfolio, focusing on...

Join Flagler Health, a dynamic healthtech innovator, as we revolutionize the delivery of healthcare services through cutting-edge AI-driven workflow automation, remote patient engagement, and comprehensive chronic care programs. Our platform has positively impacted over 1.5 million patients and is a trusted partner for healthcare providers and payers aiming to improve operational efficiency and patient outcomes while reducing costs. With a unique freemium model and limited competition, we are set to capture a significant portion of the $4.5 trillion U.S. healthcare market.Key ResponsibilitiesDatabricks Platform Expertise• Design, manage, and enhance data pipelines utilizing the Databricks platform.• Troubleshoot and debug Spark applications to ensure optimal performance and reliability.• Apply best practices in Spark computing and workload optimization.• Python Development• Write clean, efficient, and reusable Python code adhering to object-oriented principles.• Develop APIs to facilitate data integration and application functionality.• Create scripts and tools that automate data processing and workflows.MongoDB Management• Manage, query, and integrate data within MongoDB.• Ensure efficient data storage and retrieval tailored to application needs.• Optimize MongoDB's performance for handling large datasets.• Collaboration and Problem Solving• Collaborate closely with data scientists, analysts, and stakeholders to address data requirements and deliver effective solutions.• Identify and resolve technical challenges related to data processing and system architecture.

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.

Role overview StackAdapt seeks a Staff Engineer in Vancouver to focus on FinOps and Cost Platform initiatives. This position aims to improve financial operations and drive efficiency for engineering teams. Collaboration with cross-functional groups is a key part of the role. The Staff Engineer will help enhance platform features, implement cost-saving strategies, and streamline financial workflows. What you will do Work with teams from various functions to strengthen platform capabilities Identify and introduce measures that reduce costs Simplify and improve processes related to financial operations Location This position is based in Vancouver.