Who We AreSamsara (NYSE: IOT) is at the forefront of the Connected Operations™ Cloud, a revolutionary platform that empowers organizations reliant on physical operations to leverage Internet of Things (IoT) data for actionable insights and operational improvements. Our mission is to enhance the safety, efficiency, and sustainability of the physical operations that fuel our global economy. These sectors represent over 40% of global GDP and include agriculture, construction, field services, transportation, and manufacturing. We are excited to lead the digital transformation of these industries at scale.Joining Samsara means you will play a pivotal role in shaping the future of physical operations, contributing to an innovative range of product solutions such as Video-Based Safety, Vehicle Telematics, Driver Apps and Workflows, and Equipment Monitoring. As part of a recently public company, you will have the autonomy and support to make a long-lasting impact.About the Role:The Samsara AI team is dedicated to developing comprehensive AI solutions and core ML infrastructure for our clients. As a Staff Machine Learning Engineer, you will engage with petabyte-scale data encompassing sensor, diagnostic, video, and text formats to address critical challenges faced by Physical Operations customers worldwide. Collaborating closely with ML Engineers and Scientists, as well as full-stack and firmware engineers, you will contribute to the delivery of essential product features, services, and optimizations.This is a remote position available for candidates residing in the United States and requires travel of up to 5%. Please note that relocation assistance is not provided for this role.You Should Apply If:You seek to influence industries integral to our world: The systems you develop will lead to tangible impacts—ensuring essential services remain operational, delivering food to stores, and most importantly, safeguarding workers' well-being.You are eager to build scalable solutions: With over 2.3 million IoT devices deployed globally, you will work with a diverse array of technologies that drive scalable innovation for customers across industries enabling the world’s physical operations.You are committed to lifelong learning: You thrive in an environment that challenges you and fosters growth.

About UsSamsara (NYSE: IOT) is a leader in the Connected Operations™ Cloud sector, providing organizations that rely on physical operations with the tools to leverage Internet of Things (IoT) data. Our platform empowers users to derive actionable insights and enhance operational efficiency. By transforming the safety, sustainability, and productivity of critical industries—such as agriculture, construction, field services, transportation, and manufacturing—we support the backbone of the global economy, which accounts for over 40% of global GDP.Joining Samsara means you will be instrumental in defining the future of physical operations. You will collaborate on innovative product solutions, including Video-Based Safety, Vehicle Telematics, Driver Workflows, and Equipment Monitoring. As a publicly traded company, you will have the freedom and resources to make a significant impact as we focus on long-term growth.Role Overview:We are seeking a Senior Machine Learning Engineer to spearhead the architectural transformation of our safety systems. You will evolve our ML stack from isolated, end-to-end models into a cohesive Perception Platform Layer. Your objective is to build resilient infrastructure that converts raw sensor data into timely, impactful decisions, ensuring our models function reliably across both cloud and edge environments.This position is fully remote for candidates based in the US.Why You Should Apply:Your work will make a difference: The software, firmware, and hardware you create will lead to tangible outcomes—ensuring the lights stay on, food reaches grocery shelves, and, most importantly, that workers return home safely.You will drive scalable innovation: With over 2.3 million IoT devices deployed globally, you will work with both emerging and established technologies to promote scalable advancements across industries.You are committed to lifelong learning: We have ambitious goals, and every team member at Samsara embodies a growth mindset, engaging with diverse technologies, challenges, and customer needs.

Who We AreSamsara (NYSE: IOT) is a leader in the Connected Operations™ Cloud, empowering organizations reliant on physical operations to leverage Internet of Things (IoT) data for actionable insights and operational improvements. We are committed to enhancing the safety, efficiency, and sustainability of critical sectors, including agriculture, construction, field services, transportation, and manufacturing, which together represent over 40% of the global GDP. Our goal is to facilitate a large-scale digital transformation of these industries.At Samsara, you will play a pivotal role in defining the future of physical operations, contributing to a diverse range of innovative product solutions such as Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a publicly traded company, you will have the support and autonomy to make a meaningful impact as we build for the long term.About the Role:Are you passionate about developing high-impact AI applications that enhance workplace efficiency? Samsara’s Integrations, Data Engineering, and AI (IDEA) team is a crucial segment of our Business Technology organization, driving innovation through data and AI solutions. Our mission is to equip every Samsara employee with powerful AI tools to enhance productivity. We connect technology, innovation, and business requirements to integrate AI-driven solutions throughout our organization.We are searching for a proactive AI Engineer to design, implement, and scale Samsara’s AI applications from end to end. As an AI Engineer IV, you will manage the entire lifecycle of AI systems—from initial design and prototyping to production deployment, monitoring, and continuous improvement. Collaboration with architects, engineers, and cross-functional stakeholders will be essential as you brainstorm, design, rapidly prototype, and deploy AI-enabled features that integrate seamlessly into our operational workflows.

Join Samsara as a Staff Machine Learning Engineer, where you will play a pivotal role in developing and deploying advanced machine learning solutions that drive operational efficiency and enhance customer experience. You will work with a talented team of engineers and data scientists to solve complex problems using cutting-edge technology.

About UsSamsara (NYSE: IOT) is at the forefront of the Connected Operations™ Cloud, empowering organizations reliant on physical operations to harness IoT data for actionable insights and operational enhancements. Our mission is to improve the safety, efficiency, and sustainability of critical industries that contribute over 40% of the global GDP, such as agriculture, construction, field services, transportation, and manufacturing. Join us as we digitally transform these vital operations on a global scale.At Samsara, you will have the opportunity to influence the future of physical operations and collaborate with a dynamic team on innovative product solutions, including Video-Based Safety, Vehicle Telematics, Applications, and Driver Workflows, as well as Equipment Monitoring. As a recently public company, we offer you the autonomy and support needed to make a significant impact as we build for the future.Role OverviewThe Integrations, Data Engineering and AI (IDEA) team within Samsara’s Business Technology organization is seeking a Senior Data Platform Engineer. This role will enable various teams at Samsara to utilize GenAI and data effectively, fostering data-driven decision-making through the delivery of a robust data platform and reliable analytics. Our team is passionate about leveraging quality data and AI to enhance customer experiences, and we promote an agile, collaborative work environment that values diverse perspectives, innovative design, and experimentation.Note: This position is open to candidates residing in the US, excluding the San Francisco Bay Area and New York Metro Area.

About UsAt Samsara (NYSE: IOT), we are at the forefront of the Connected Operations™ Cloud, a transformative platform empowering organizations reliant on physical operations to leverage Internet of Things (IoT) data for actionable insights and operational enhancements. Our mission is to elevate the safety, efficiency, and sustainability of the operations that fuel the global economy. With over 40% of the world’s GDP encompassed in industries such as agriculture, construction, field services, transportation, and manufacturing, we are passionate about driving digital transformation for these sectors at scale.Joining Samsara means playing a pivotal role in shaping the future of physical operations. You will collaborate on an exciting variety of product solutions, including Video-Based Safety, Vehicle Telematics, Driver Workflows, and Equipment Monitoring. As a publicly traded company, we offer you the autonomy and support necessary to make a significant impact while building for the long term.Role Overview:We are on the lookout for a Senior Applied Scientist II to join our dynamic Supply Chain Innovation & Intelligence team. In this position, you will be instrumental in designing, developing, and deploying advanced machine learning and statistical models aimed at optimizing and revolutionizing our global supply chain. From forecasting demand across a multitude of SKUs to assessing supply risk using real-time IoT data, you will employ cutting-edge techniques to tackle complex challenges with tangible business outcomes.You will work closely with data scientists, software engineers, and domain specialists, fostering cross-functional collaboration with teams in Product, Engineering, Procurement, and Finance. Reporting to the Director of Supply Chain Innovation & Intelligence, you will play a crucial role in defining the team’s strategic direction, scientific agenda, and modeling frameworks.This position is perfect for a highly technical individual contributor who thrives in uncertain environments, possesses strategic thinking abilities, and enjoys taking ownership of projects from conception through to deployment.Note: This position is available to candidates based in the US, excluding the San Francisco Bay Area, NYC Metro Area, and Washington, D.C. Metro Area.

About the Institute of Foundation ModelsWe are a pioneering research laboratory focused on developing, understanding, utilizing, and managing foundation models. Our mission is to propel research, cultivate the next generation of AI innovators, and create transformative impacts within a knowledge-driven economy.Join our dynamic team and seize the opportunity to engage in groundbreaking foundation model training, collaborating with elite researchers, data scientists, and engineers to address the most pressing challenges in AI development. You will contribute to the creation of innovative AI solutions with the potential to revolutionize industries. Your strategic and creative problem-solving abilities will play a crucial role in establishing MBZUAI as a global center for high-performance computing in deep learning, fostering discoveries that will motivate future AI trailblazers.The RoleAs a Machine Learning Engineer at the Institute of Foundation Models, your main duty will be to design and implement cutting-edge machine learning models that tackle real-world issues, pushing the limits of artificial intelligence research. You will work collaboratively with diverse teams to deploy scalable solutions, furthering MBZUAI’s goal of driving significant AI advancements and solidifying the institution’s status as a leader in the international AI research community. Your expertise will be vital in enhancing the performance of large-scale machine learning models and aiding in the development of transformative AI tools that can reshape industries globally.

About UsSamsara (NYSE: IOT) stands at the forefront of the Connected Operations™ Cloud, empowering organizations that rely on physical operations to leverage Internet of Things (IoT) data. Our platform transforms this data into actionable insights, enhancing operational efficiency, safety, and sustainability. By focusing on industries like agriculture, construction, transportation, field services, and manufacturing—representing over 40% of the global GDP—we are excited to drive digital transformation on a grand scale.Joining Samsara means you will play a pivotal role in defining the future of physical operations, contributing to innovative product solutions such as Video-Based Safety, Vehicle Telematics, Driver Workflows, and Equipment Monitoring. As part of a newly public entity, you will enjoy the autonomy and support to make a lasting impact as we build for the future.Role Overview:As a Sales Engineer at Samsara, you will be a crucial member of a diverse team, dedicated to modernizing essential industries through advanced IoT solutions. Your contributions will directly enhance supply chain efficiency and safety, leading to reduced emissions and improved roadway safety. You will engage with customers in discussions centered on how IoT can revolutionize logistics management, fleet maintenance, workplace safety, and regulatory compliance. A successful Sales Engineer will possess a deep understanding of IoT hardware and sensors, effective hardware installation strategies, data collection management over carrier networks, and third-party system integrations via our open API to deliver optimal technical solutions to our clients.

Who we areSamsara (NYSE: IOT) is at the forefront of the Connected Operations™ Cloud, a groundbreaking platform that empowers organizations reliant on physical operations to leverage Internet of Things (IoT) data for actionable insights and operational improvements. Our mission is to enhance the safety, efficiency, and sustainability of physical operations that fuel our global economy. Covering over 40% of global GDP, the sectors we serve include agriculture, construction, field services, transportation, and manufacturing. We are thrilled to be leading the digital transformation of these industries on a large scale.Joining Samsara means you will play a key role in shaping the future of physical operations. You’ll work with a dynamic team to create innovative product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As a newly public company, you will have the freedom and resources to make a significant impact as we build for the long term.About the role:We are looking for a skilled Senior Security Engineer specializing in Threat Modeling. In this position, you will collaborate closely with technical product managers and engineers across the organization to uphold Samsara’s security posture and mitigate software security risks for the protection of our customers.We are searching for an individual who is passionate about applying automation to improve efficiency, enthusiastic about utilizing infrastructure-as-code, and experienced in collaborating with teams to mitigate software vulnerabilities. Your contributions will be essential in shaping our security and compliance strategy. At Samsara, we embrace a 'working backwards from winning' philosophy. Your ability to define success and collaborate with cross-functional stakeholders to achieve it will be vital.This is a remote position open to candidates residing in the US except those in the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. You will regularly coordinate with team members from the UK and India via Zoom during standard US working hours.

Who We AreSamsara (NYSE: IOT) is a leader in the Connected Operations™ Cloud, empowering organizations reliant on physical operations to leverage Internet of Things (IoT) data for actionable insights that enhance their operational efficiency. Our mission is to elevate safety, efficiency, and sustainability in crucial sectors such as agriculture, construction, field services, transportation, and manufacturing—industries that collectively represent over 40% of global GDP. Join us in our mission to digitally transform these sectors at scale.At Samsara, you'll play a pivotal role in shaping the future of physical operations. Collaborate with an innovative team to deliver a wide range of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As a newly public company, we provide the autonomy and support necessary to make a significant impact as we build for the long term.About the Role:As a Sales Engineer at Samsara, you will be a key contributor to our diverse team, dedicated to modernizing essential industries through advanced IoT solutions. Your efforts will directly influence the creation of safer roadways, reduced fuel consumption and emissions, and a streamlined platform for connecting operations. Engage with customers daily to discuss how IoT can enhance logistics management, workplace safety, fleet maintenance, global asset management, and regulatory compliance. A successful Sales Engineer will possess a profound understanding of IoT hardware and sensors, hands-on installation strategies, data management over carrier networks, a robust cloud infrastructure, and integration of third-party systems via our open API to deliver optimal technical solutions to our customers.

At Vectara, we are revolutionizing the deployment of Enterprise AI Agents and AI Assistants, emphasizing Accuracy, Security, and Explainability like never before. Our enterprise RAG Platform stands out by utilizing advanced models for retrieval, embedding, and reranking, alongside a meticulously optimized LLM trained for quality and cutting-edge Hallucination Mitigation techniques. Our innovative approach has garnered recognition in esteemed publications such as the New York Times and Visual Capitalist, solidifying our reputation as leaders in responsible, production-ready AI solutions. With a diverse clientele of over 100 enterprises, including prominent US military organizations, financial institutions, healthcare providers, and manufacturers, we are committed to delivering exceptional results.Our founding team comprises seasoned professionals from Google, specializing in neural information retrieval and distributed systems. We invite you to join us in our mission to empower the world to discover meaningful insights. At Vectara, our team is built on passion and expertise, featuring top talents from companies like Google, Cloudera, Splunk, MongoDB, and Elastic.

Join the Nebius TeamAt Nebius, we are pioneers in the realm of cloud computing, dedicated to empowering the global AI economy. Our mission is to provide innovative tools and resources that enable our clients to tackle real-world challenges and revolutionize industries—all while minimizing infrastructure costs and the complexities of maintaining extensive in-house AI/ML teams. Collaborating with us means being at the forefront of AI cloud infrastructure, alongside some of the most seasoned and creative leaders and engineers in the industry.Our LocationsHeadquartered in Amsterdam and publicly listed on Nasdaq, Nebius boasts a worldwide presence with R&D hubs strategically located across Europe, North America, and Israel. Our diverse team of over 1400 professionals includes more than 400 highly skilled engineers who excel in both hardware and software engineering, along with a dedicated in-house AI R&D unit.The RoleAs part of the Token Factory division within Nebius Cloud, one of the largest GPU cloud infrastructures globally, you will contribute to the development of a sophisticated inference and fine-tuning platform. This platform supports a wide array of foundation models—spanning text, vision, audio, and emerging multimodal architectures—ensuring they are fast, reliable, and effortlessly scalable for training and deployment.Current Focus Areas:Advanced Fine-Tuning: Innovating fine-tuning techniques, including LoRA-based and full-parameter methodologies, for state-of-the-art LLMs (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-4.7), with an emphasis on enhancing model quality and training efficiency.Inference Optimization: Analyzing LLM inference constraints to enhance production speed. This involves creating training and evaluation pipelines in JAX for speculative decoding, exploring various architectures (dense/MoE, auto-regressive/parallel), and establishing scaling laws to optimize resource allocation.

About StepAt Step, we empower side hustlers, creators, freelancers, and investors. We're dedicated to those eager to start early, rebuild, or enhance their current situation. For individuals who embrace challenges, especially in their financial journeys.Step is a cutting-edge financial services provider, committed to transforming the banking and borrowing experience to help individuals achieve financial independence swiftly. We offer essential tools, education, and opportunities to manage, build, and grow wealth with assurance. Our focus is to disrupt the banking sector by crafting a distinctive, mobile-first consumer experience.Our product has resonated with over 7 million customers, and if you're seeking to join a rapidly expanding company with a purposeful mission that prioritizes people, we would love to connect with you!Step is part of Beast Industries, a diverse media and entertainment enterprise founded by Jimmy Donaldson, widely recognized as MrBeast, the most-watched individual globally. Beast Industries has redefined digital content creation and consists of a wide array of ventures that extend beyond its YouTube roots. With a commitment to entertain, inspire, and create substantial social impact, Beast Industries operates across numerous domains, including digital media, philanthropy, consumer products, and innovative business initiatives. We believe in the transformative potential of digital media to entertain, educate, and foster positive change. Our dedication to creativity, innovation, and philanthropy inspires us to explore new challenges, create unforgettable experiences, and build a legacy that motivates future generations.The RoleWe are seeking a skilled Senior Machine Learning Engineer to design, build, and implement Machine Learning models for our Risk and Fraud detection systems.

Join Our Team as a Senior Machine Learning Engineer!thatgamecompany is looking for a passionate and self-motivated Senior Machine Learning Engineer to work remotely within the US or Canada. In this pivotal role, you will take charge of developing our core machine learning models and the essential data and training pipelines that support them. We value individuals who are self-starters and bring a proactive approach to problem-solving, while also being collaborative team players. You will have the autonomy to manage projects from start to finish and possess the ability to articulate complex technical information to both technical and non-technical stakeholders.Your Responsibilities Will Include:Demonstrating a deep passion for video games and representing our players' interests.Exhibiting curiosity, problem-solving skills, and the ability to identify and pursue business needs proactively.Navigating ambiguity to iteratively refine the problem space.Owning your area of expertise throughout the project lifecycle from inception to delivery.Qualifications:A minimum of 5 years' experience in Machine Learning, Data Engineering, or a related quantitative field, with a proven history of delivering end-to-end ML products.In-depth knowledge of statistical modeling and ML techniques, including Classical ML, Deep Learning, NLP, and Anomaly Detection, with the aptitude to choose the appropriate tools for the task.Strong background in experimental design, hypothesis testing, and model performance evaluation.Experience in building and deploying scalable ML solutions in production, preferably using Kubernetes and GCP.Proficiency in Python, Java, or Scala, focusing on writing clean, maintainable, and production-ready code, along with the ability to create optimized SQL for complex datasets.Mastery of SQL and familiarity with big data processing frameworks (e.g., Spark, Beam) and modern data lakehouse formats (e.g., BigQuery, Snowflake, Iceberg, Parquet).Exceptional skills in translating complex technical concepts into understandable terms for varied audiences.

Who We AreSamsara (NYSE: IOT) is at the forefront of the Connected Operations™ Cloud, empowering organizations reliant on physical operations to leverage Internet of Things (IoT) data for actionable insights and operational improvements. Our mission is to enhance the safety, efficiency, and sustainability of the physical operations that drive our global economy, encompassing sectors like agriculture, construction, field services, transportation, and manufacturing. We are thrilled to be leading the digital transformation of these critical industries at scale.Joining Samsara means you will play a pivotal role in defining the future of physical operations and contribute to a diverse array of innovative product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a publicly traded company, you will have the freedom and resources to make a significant impact as we build for the future.About the Role:This Senior Manager of Go-to-Market Onboarding will spearhead and scale Samsara’s onboarding and ramping initiatives for our Sales, Customer Success, and Renewals teams. This pivotal role is designed to accelerate the time to productivity, ensuring that every new employee is equipped with the knowledge, skills, and confidence necessary to achieve outstanding results.The ideal candidate will act as a strategic partner to GTM leadership, Enablement, RevOps, and cross-functional stakeholders to define, implement, and enhance our onboarding and ramping programs continuously. This highly visible position demands a strong inclination for action, excellence in program management, and a proven history of leading teams and initiatives within a fast-paced environment.Please Note: This is a remote position open to candidates residing in the US. Relocation assistance will not be provided for this role.You Should Apply If:You want to make a difference in the industries that power our world: Your contributions will have a tangible impact—keeping essential services running, ensuring food supply chains remain intact, and most importantly, safeguarding the well-being of workers.You possess a natural curiosity about business operations: You are eager to understand how organizations function and thrive.

At OneStudyTeam, a subsidiary of Reify Health, we are dedicated to accelerating the pace of clinical trials and enhancing the approval rates of new therapies, ultimately aiming to uplift patient outcomes. Our innovative cloud-based platform, StudyTeam, digitizes research site workflows, enabling effective collaboration among sites, sponsors, and crucial stakeholders. Trusted by leading global biopharmaceutical companies, our platform is utilized at over 6,000 research sites across more than 100 countries. Join us in our mission to revolutionize clinical research and elevate patient care.One mission. One team. That’s OneStudyTeam.As a Senior Machine Learning Engineer, you will be instrumental in developing state-of-the-art AI products that significantly influence the delivery of new therapies to patients. We seek a seasoned ML engineer enthusiastic about transforming cutting-edge AI research into practical, scalable solutions. You possess a knack for resolving intricate challenges, maintain a sharp focus on detail, and strive for continuous process automation and enhancement. Your collaborative spirit shines through as you contribute both as an individual and as part of a team, demonstrating the resilience to face tough problems while remaining open to learning and adapting. Your self-motivation and discipline empower you to excel in a remote work environment, and your strong interpersonal skills foster a collegial atmosphere. As a key player in our rapidly expanding organization, you will harness AI to innovate clinical research and enhance patient care.

About the RoleAt Zencastr, we are dedicated to creating innovative end-to-end AI systems and core microservices that revolutionize the podcasting landscape. By harnessing the latest technologies, we aim to enhance the user experience for millions of podcast creators and listeners every day.We invite an exceptional Senior Machine Learning Engineer to become a vital member of our dynamic team. In this role, you will engage in large-scale machine learning projects aimed at enriching the podcast creation journey for Zencastr users.You will collaborate with a group of dedicated engineers who are enthusiastic about understanding the factors that influence long-term user satisfaction with Zencastr. Your contributions will help shape our recommendations and content strategies. As a key player in the team, you will work alongside research scientists and data professionals to prototype and implement cutting-edge machine learning solutions that intertwine speech processing with user satisfaction.Key ResponsibilitiesDesign, research, and develop pioneering machine learning applications and algorithms to enhance the experiences of podcasters and their audiences globally.Collaborate with cross-functional teams to create new product features that enhance Zencastr's machine learning services.Advance audio and text capabilities within the machine learning team.Engage with leading experts in signal processing.Ideal Candidate ProfileA Master's degree or higher in Machine Learning, Mathematics, Computer Science, or a related quantitative discipline.A minimum of 5 years of experience in Python programming.At least 3 years of experience in machine learning research, particularly with a focus on speech processing.3+ years of experience in training and deploying neural networks.Extensive experience with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn.Proficiency in building and maintaining production-ready machine learning systems.Ability to lead the design and implementation of significant software components and features.A passion for rapidly building model prototypes.Familiarity with cloud platforms such as Google Cloud, AWS, or Modal.A proactive mindset with the ability to spearhead projects and foster positive collaborations with partners and colleagues.

About UsSamsara (NYSE: IOT) is a trailblazer in the Connected Operations™ Cloud, empowering organizations reliant on physical operations to leverage Internet of Things (IoT) data for actionable insights and operational enhancements. We are committed to improving the safety, efficiency, and sustainability of industries that represent over 40% of global GDP, including agriculture, construction, field services, transportation, and manufacturing. Join us in digitally transforming these critical sectors at scale.When you work at Samsara, you’ll contribute to shaping the future of physical operations while being part of a dynamic team focused on innovative product solutions such as Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As a publicly traded company, you will have the autonomy and resources to make a meaningful impact as we build for the long term.Role Overview:As an Installation Specialist at Samsara, you will play a crucial role in ensuring the successful deployment of our hardware and technology on a large scale. This position involves managing customer engagements with installation partners, providing on-site oversight for complex projects, and proactively mitigating risks to ensure smooth, high-quality installations. You will collaborate closely with customers, partners, and cross-functional teams to drive project adoption and deliver long-term value.This role is perfect for individuals with approximately 4 years of experience in project management, installation oversight, or field services, who excel in fast-paced, customer-facing environments.Please note: This is a remote position open to candidates residing in the US, excluding the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.Why You Should Apply:Make an Impact: Your work directly influences vital industries, ensuring timely deliveries, safe transport for students, and swift power restoration after natural disasters.Be Part of Innovation: Join a company at the forefront of IoT solutions, where your contributions will shape the future of physical operations.

Join us at Hugging Face, where we are committed to democratizing exceptional AI technology. We are developing the world's fastest-growing platform for AI innovators, boasting over 11 million users who have contributed more than 2 million models, 700,000 datasets, and 600,000 applications. Our open-source libraries have garnered over 600,000 stars on GitHub, reflecting our strong community support.At Hugging Face, we strive to be the leading community-driven initiative for training, sharing, and deploying the most sophisticated machine learning models. Achieving workload efficiency is crucial to our mission, and we continually seek innovative methods for faster model training and deployment.Role OverviewWe are in search of a Cloud Machine Learning Engineer to develop impactful machine learning solutions that will be utilized by millions, leveraging cloud technologies. You will play a key role in integrating Hugging Face's open-source libraries, such as Transformers and Diffusers, with prominent cloud platforms and managed SaaS solutions.For a deeper understanding of the role's practical implications, check out these recent collaborations:Hugging Face and AWS partner to make AI more accessibleHugging Face and IBM partner on watsonx.ai, the next-generation enterprise studio for AI buildersIntroducing SafeCoderHugging Face Collaborates with Microsoft to launch Hugging Face Model Catalog on AzureKey ResponsibilitiesIntegrate Transformers and Diffusers models with various Cloud providers.Ensure optimal performance standards are met for the integrated models.Design and develop user-friendly, secure, and robust Developer Experiences and APIs.Create technical documentation, examples, and notebooks to exhibit new features.Advocate and share your work and its results with the community.Who You AreYou will thrive in this role if you have experience deploying machine learning systems in production and creating excellent developer experiences. Ideal candidates will possess:Proficiency in Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, and Datasets.Expertise in Deep Learning Frameworks, particularly PyTorch, with optional knowledge of XLA.Solid understanding of cloud platforms.