GenAI Data Engineer - Remote Opportunity

Join Tiger Analytics, a dynamic and rapidly expanding advanced analytics consulting firm recognized for its expertise in Data Science, Machine Learning, and Artificial Intelligence. We partner with leading Fortune 100 companies to unlock the potential of their data, driving substantial business value. Acknowledged by Forrester and Gartner for our leadership …

Elevate Your Career with Loopio! At Loopio, we are searching for a visionary Senior Engineering Leader to spearhead our Site Reliability Engineering (SRE), Infrastructure, and MLOps teams. In this pivotal role, you will architect the foundation of reliability, scalability, and cost efficiency for our platform's systems.You will guide teams responsible for designing, building, and operating our production infrastructure, ensuring our services remain resilient, observable, and primed for expansion as we incorporate cutting-edge AI and automated workflows. Collaborating closely with Product Engineering, Security, and Data teams, you will facilitate rapid, secure delivery while upholding operational excellence.Note: This position is an existing vacancy within our team. Key ResponsibilitiesLeadership & Team DevelopmentLead and nurture multiple teams across SRE, Cloud Infrastructure, and MLOps.Mentor engineering managers and senior contributors, cultivating a culture of ownership and high standards.Foster a 'Platform-as-a-Product' mindset, ensuring infrastructure and ML tools empower the wider engineering organization.Collaborate with Recruiting to attract and retain top-tier talent in the areas of cloud, reliability, and machine learning infrastructure.Reliability & Operational ExcellenceOversee the operational health of production systems, focusing on availability, latency, and durability.Define and refine SLIs, SLOs, and error budgets to promote data-driven reliability decisions.Lead incident response efforts, championing blameless postmortems and systemic improvements to minimize

ampleinsightinc is seeking enthusiastic Data Scientists with a strong passion for Data Analytics and Infrastructure. Ideal candidates will have a solid foundation in data engineering, analytics, and statistics. You will thrive on working with large and intricate datasets, designing and implementing efficient data pipelines that support scalable and reliable analytics.In this role, you will be tasked with the design and maintenance of our data infrastructure, automation of workflows, and ensuring data accessibility across various teams. Your contributions will have a direct influence on business decisions by providing high-quality insights and creating robust analytics systems. Strong problem-solving, communication, and teamwork skills are essential to succeed in this position.

Canonical, a trailblazer in open source software and operating systems, is seeking a talented Data Center Infrastructure Engineer to join our vibrant team in Toronto. As a key player in our mission, you will be responsible for overseeing our MAAS test labs and ensuring the seamless operation of our data center that supports Ubuntu server certification for leading US-based silicon and server designs. Your role will involve deploying and configuring servers and network switches, maintaining an organized inventory of hardware, and handling the onboarding of new equipment. With a focus on software-driven operations, you will utilize your Python development skills to enhance our data center's efficiency. If you're passionate about data center technology and enjoy hands-on problem-solving, this is an exciting opportunity to contribute to cutting-edge initiatives in cloud computing and infrastructure management.

At GPTZero, we're dedicated to restoring trust and transparency on the internet. As the foremost AI detection platform, we empower educators, students, journalists, marketers, and writers to adeptly navigate the constantly changing landscape of AI-generated content. With millions of users and institutions relying on our services, we're forging a trailblazing company that stands at the crossroads of AI and information integrity.Our team comprises individuals from high-performing engineering cultures, including Meta, Perplexity, AWS, and Affirm, as well as esteemed AI research labs such as Princeton, Caltech, and Vector Institute.What We Are Looking ForAt GPTZero, we are committed to ensuring that machine learning models are developed for the benefit of humanity. In this role, you will contribute to building a next-generation platform aimed at verifying the origin, quality, and factuality of global information. The ideal candidate will have a solid background in machine learning research, an exceptional product sense, and proficiency in software engineering. You will collaborate with a fast-paced team of dedicated innovators, creating industry-defining software that has garnered over 2 million users worldwide. Previous intern projects have been showcased to venture capitalists and state-level policy leaders.ResponsibilitiesDepending on the candidate's strengths, this role can focus more on machine learning engineering or research with an emphasis on publications.Design, train, and fine-tune cutting-edge large language models.Develop AI agents that integrate retrieval-augmented language models.Create efficient and scalable machine learning training and inference systems.Stay abreast of the latest literature and emerging technologies to address novel challenges.Collaborate closely with product and design teams to develop user-friendly applications that drive societal impact.QualificationsProficiency in Python and PyTorch.Experience in pushing the boundaries of machine learning implementation.Self-starter with a strong desire to learn.Highly motivated to contribute positively to society.Ability to adapt and take on multiple roles.Valid work visa for Canada or the US.Bonus:A robust open-source portfolio.Publications in prestigious machine learning venues.

At Lyft, we are dedicated to serving and connecting communities. Our mission is realized through fostering an inclusive work environment where every team member can thrive and contribute meaningfully.The Marketplace teams are central to our products and decision-making processes, overseeing everything from rider pricing to driver earnings, incentives, and efficient matching. We are on the lookout for passionate and motivated engineers to develop systems that enhance the transportation experience for our riders and drivers through advanced prediction, adaptability, and personalization. If you are eager to work in a dynamic, innovative, and impactful setting, creating dependable solutions for distributed computing, machine learning, and data challenges, we want to hear from you!The Pricing team plays a pivotal role within Lyft’s Marketplace organization, determining pricing strategies for all rideshare offerings and supporting new initiatives. Our Rider Engagement team focuses on optimizing the rider experience through engagement strategies and pricing mechanisms to drive both immediate and long-term business outcomes. Collaborating with Product and Science teams, we tackle complex pricing challenges, ensuring a balance between the interests of riders, drivers, and our business objectives. In this role, you will engage with diverse challenges including latency-sensitive concurrency issues, large-scale distributed systems, and experimentation. If you are enthusiastic about influencing demand and supply management while enhancing the Lyft customer experience, this opportunity is tailored for you.

Join Palona as an AI Software Engineer and unleash your potential in a dynamic startup environment. We are looking for a talented individual with a strong background in developing comprehensive, end-to-end AI products from the ground up. In this role, you will have the opportunity to design, develop, and deploy autonomous AI systems, taking them from initial concept through to production. Ideal candidates are quick learners who thrive on challenges and have successfully delivered AI solutions independently in fast-paced, resource-constrained settings.Key Responsibilities Develop and ship sophisticated end-to-end AI products and intelligent agents from inception to deployment. Design autonomous systems and multi-agent frameworks that address intricate challenges. Focus on the reliability and performance of deployed AI agents. Rapidly prototype and refine AI solutions in an agile startup environment. Assume full ownership of projects and drive them to successful completion with minimal oversight. Integrate cutting-edge AI models (such as LLMs and computer vision technologies) into production-grade applications.

Role Overview The University Health Network in Toronto is seeking a Postdoctoral Researcher to advance machine learning research in multimodal healthcare AI. This position centers on developing new approaches to improve healthcare outcomes by applying advanced AI methods to complex data. What You Will Do Develop and implement machine learning algorithms for healthcare applications Analyze large, multimodal datasets from clinical and research sources Collaborate with a multidisciplinary team, including clinical experts and researchers Translate research findings into insights that support clinical decision-making Collaboration and Impact This role works closely with professionals from diverse backgrounds. The research aims to create practical solutions that can be applied in real healthcare settings, contributing to better patient care and outcomes.

Join Spotify's innovative Platform Mission as a Data Scientist, where you'll leverage data-driven insights to enhance our platform's capabilities. Collaborate with cross-functional teams to design and implement models that drive strategic decision-making and improve user experience.

Join us in shaping the future of finance.At Robinhood, our mission is to democratize finance for all. With an anticipated $124 trillion of assets set to be transferred to younger generations in the coming decades, we invite you to be part of this significant cultural and financial evolution. If you are ready to be at the forefront of this historic moment, we encourage you to apply.About the Team & RoleWe are assembling a top-tier team dedicated to applying cutting-edge technologies to solve the world’s most pressing financial challenges. We seek innovative thinkers, adept problem-solvers, and builders who strive to make a meaningful impact. Robinhood is a dynamic environment where ambitious individuals can achieve the pinnacle of their careers. Our high-performing, fast-paced team prioritizes ethics in all our endeavors. While expectations are high, so are the rewards.The Infrastructure organization is responsible for constructing and maintaining the foundational systems that drive all of Robinhood’s products and services. This division emphasizes reliability, scalability, and developer productivity by providing platforms, tools, and computing systems that support engineering teams across the organization. Within Infrastructure, you may join one of several specialized teams:The Backend Platform team facilitates swift, secure, and maintainable backend development at scale by creating application-layer frameworks and developer tools. This team plays a crucial role in advancing Go adoption across Robinhood by developing shared libraries and enhancing engineering support for production-ready Go services.The Provisioning team specializes in managing the lifecycle of infrastructure across AWS and Kubernetes environments. This team develops systems that provision infrastructure, assists application teams with cloud resources, and streamlines workflows for deploying and managing services.The Kubernetes Compute team constructs and operates a highly available, scalable Kubernetes-based compute platform, ensuring reliable application deployments and enabling multi-region scalability for Robinhood’s systems.The Technical Assurance Platform team builds and maintains a centralized service catalog that tracks service ownership, performance, and reliability across Robinhood.

Role overview University Health Network seeks a Software Engineer specializing in AI and ML to support its Digital Pathology Image Management System in Toronto. This role focuses on building and enhancing technology that underpins diagnostic workflows and patient care. What you will do Develop and implement advanced algorithms for analyzing digital pathology images Work with a multidisciplinary team to design and deliver software solutions Use artificial intelligence and machine learning to improve diagnostic processes Work environment Join a group of experts from diverse backgrounds, contributing to projects that affect patient outcomes. The team values practical solutions and encourages innovation in healthcare technology.

Join Opendoor, a dynamic and innovative company transforming the real estate industry through technology. As a Data Scientist, you will leverage your analytical and statistical skills to extract meaningful insights from complex data sets, driving strategic decision-making.

Waabi develops AI-driven technology for autonomous transportation, with a focus on commercial autonomous trucks and robotaxis. The company collaborates with partners across AI, automotive, logistics, and deep tech sectors, and maintains offices in Toronto, San Francisco, Dallas, and Pittsburgh. More information is available at www.waabi.ai. Role overview The Software Engineer - Labelling, Data & Automation position is part of the team responsible for building and maintaining the pipelines, tools, and workflows that move Waabi’s AI-first self-driving systems forward. This group is deeply involved in the training pipeline, focusing on practical and scalable methods to extract important data, generate accurate ground truth labels, and deliver this data to machine learning scientists and engineers. What you will do Develop and maintain data pipelines, tools, and workflows for labelling and automation. Create scalable systems for extracting and preparing data used in AI model training. Collaborate with machine learning scientists and engineers to provide high-quality ground truth data. The team The Labelling & Data Automation team forms the backbone of Waabi’s mission, delivering the infrastructure and tools that enable rapid development and deployment of autonomous vehicle technology.

Join Spotify as a Data Engineer on our Platform team and be a part of our mission to unlock the power of music for millions of users around the globe. In this role, you will design, build, and maintain cutting-edge data infrastructure and pipelines that enable our teams to make data-driven decisions. Your innovative mindset and technical expertise will play a crucial role in enhancing our data processing capabilities.

Join Opendoor as an Infrastructure Engineer and be at the forefront of revolutionizing the real estate industry through technology. You will collaborate with cross-functional teams to design, implement, and maintain scalable infrastructure solutions that enhance our platform's reliability and performance.

Be a Part of Shaping the Future of Finance.At Robinhood, our mission is to make finance accessible to everyone. With an estimated $124 trillion in assets poised to be passed down to younger generations over the next 20 years, we are at the forefront of this monumental wealth transfer. If you're passionate about being part of this transformative financial movement, we invite you to continue reading.About the Team and RoleOur elite Infrastructure team is dedicated to applying cutting-edge technologies to tackle some of the largest challenges in finance. We are seeking innovative thinkers and adept problem-solvers—individuals who are driven to make significant contributions. At Robinhood, complacency has no place; we strive for excellence and reward ambition. Our high-performing team operates with ethics as our guiding principle, ensuring that high expectations yield equally high rewards.The Infrastructure organization is responsible for developing and managing the foundational systems that power all Robinhood products and services. This team emphasizes reliability, scalability, and developer efficiency by providing platforms, tools, and systems that enhance the productivity of engineering teams across our organization. Within Infrastructure, you may join one of several specialized teams:The Backend Platform team focuses on facilitating rapid, secure, and maintainable backend development at scale. This team creates frameworks, dependency management systems, and developer tools while promoting the adoption of Go across Robinhood through shared libraries and enhanced tooling for engineers building production-grade Go services.The Provisioning team manages the lifecycle of our infrastructure across AWS and Kubernetes environments. This team develops systems and controllers that provision necessary cloud resources, assisting application teams and streamlining developer workflows for service deployment and management.The Kubernetes Compute team is tasked with building and operating a highly available, scalable Kubernetes-based compute platform, ensuring that our container infrastructure supports dependable application deployments and integrates essential platform capabilities for multi-region scalability.The Technical Assurance Platform team is responsible for creating and maintaining a centralized service catalog that tracks service ownership, performance, and reliability throughout Robinhood.

Role Overview Sentry builds tools that help developers ship better software. With over $217 million in funding and more than 100,000 organizations relying on its platform, including Disney, Microsoft, and Atlassian, Sentry focuses on performance and error monitoring so teams can spend more time building and less time fixing. This Senior Software Engineer position sits within the Billing Infrastructure team in Toronto, Ontario, Canada. The group maintains the systems that track, price, and bill every event across Sentry’s products, supporting both financial accuracy and customer trust. The team works closely with product, engineering, BizOps, marketing, and sales to create billing systems that keep up with new product features and pricing models. Sentry operates a hybrid work model in its global hubs. In Toronto, in-office work is encouraged on Mondays, Tuesdays, and Thursdays to support collaboration. What You Will Do Work on a next-generation usage tracking pipeline that processes hundreds of billions of events each day with low latency and financial-grade precision. Design and build flexible pricing components to support a range of billing models, from simple per-event charges to complex enterprise contracts. These systems help product and sales teams roll out new offerings quickly while maintaining revenue accuracy. Contribute to technical decisions that address data consistency challenges in billing, such as handling event delays, retroactive pricing changes, and distributed reconciliation across Sentry’s infrastructure. About the Team The Billing & Revenue engineering team connects product development, finance, and infrastructure. Their work ensures every observable event, errors, logs, traces, session replays, is measured and billed accurately. The team values expertise in distributed systems, attention to financial detail, and a strong understanding of how Sentry’s products are used. Who Thrives in This Role Engineers who enjoy solving problems that are easy to describe but hard to execute, such as delivering accurate customer billing while managing massive data flows.

Join Warner Music Group, a vibrant global community of music creators, innovators, and passionate professionals. Here, we transform dreams into reality and cultivate fandoms that resonate worldwide. Our operations are anchored by three fundamental values that guide our diverse endeavors: • Curiosity: Our creativity flourishes when we explore culture and push boundaries. Curiosity fuels our innovation, which is essential for our future success.• Collaboration: The essence of music-making lies in originality enhanced by teamwork. Great ideas resonate globally, and we ignite passion and forge connections within our diverse network of artists, songwriters, partners, and fans.• Commitment: We strive for excellence for our team and our talent. Every aspect of music involves venturing into the unknown, and we are dedicated to maintaining integrity and fulfilling our promises.Technology is integral to our business. From onboarding new artists to delivering precise data to platforms like Spotify and YouTube, or empowering artists with cutting-edge AI tools and insightful data, technology is the backbone of our success. Our engineering team at Warner Music Group brings these visions to life.We proudly represent a diverse array of artists, musicians, and songwriters who contribute to our achievements. We are committed to fostering a work environment that values, appreciates, and respects every individual, encouraging applications from candidates with a variety of backgrounds and experiences.Consider a career at WMG, where you can enjoy the dynamism of a global music powerhouse while embodying the creative spirit of an independent entity.Your Role:We are developing the next-generation Data Platform, designed to set benchmarks in freshness, accuracy, comprehensiveness, and usability, to empower Warner Music Group’s operations. We are reengineering this platform from the ground up, encompassing:

Join our dynamic Data Intelligence team at Achievers, where we develop innovative backend services that transform data from our SaaS platform into actionable insights that drive success for our customers. We are revolutionizing data utilization at Achievers by providing high-impact, intelligent services that redefine workplace efficiency. Our technology stack includes microservices crafted with Python and Go, deployed on Google Cloud Platform (GCP) and Kubernetes. Be a part of a team that aims to create seamless, intelligent, and delightful user experiences while tackling real engineering challenges at scale.

Join Terawatt Infrastructure as a Senior Data Engineer, where you will play a pivotal role in shaping our data strategies and solutions. In this fully remote position, you will be responsible for designing, building, and maintaining robust data architectures that support our data-driven decision-making processes. Collaborate with cross-functional teams to ensure data integrity and availability while driving continuous improvement in our data management practices.