About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine le
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We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Entrez dans le Multivers : Votre prochaine aventure commence ici Chez Wizards of the Coast, nous exploitons le pouvoir de l’imagination et des liens humains pour créer des expériences inoubliables. Nous créons des divertissements qui inspirent la créativité, éveillent la passion, forgent des amitiés et rassemblent des communautés partout dans le monde. Dans tout ce que nous entreprenons, notre mission est d’inspirer un amour des jeux qui dure toute une vie. Que ce soit grâce à la profondeur stratégique de Magic: The Gathering®, à l’univers narratif riche de Donjons & Dragons®, ou à nos studios de jeux numériques AAA, nous bâtissons des mondes qui rapprochent les gens, stimulent la créativité et nourrissent l’aventure. Alors que nous poursuivons notre croissance et explorons de nouveaux horizons, nous recherchons des personnes passionnées, curieuses et innovantes pour se joindre à l’aventure. Avez-vous la polyvalence nécessaire pour évoluer à l’intersection du développement de jeux, de l’infrastructure infonuagique et de la fiabilité des plateformes? Nous sommes à la recherche d’un(e) ingénieur(e) principal(e) en plateforme infonuagique pour se joindre à notre équipe centrale d’ingénierie de compilation technologique, alors que nous développons et maintenons un écosystème Unreal Engine partagé entre nos studios de jeux internes. Vous intégrerez une équipe spécialisée responsable d’éliminer les obstacles pour les développeurs, d’assurer la stabilité des systèmes de compilation et d’optimiser les flux de travail d’itératio
Graphcore Senior Principal AI SoC Validation (Bring-up lead) Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing. We are developing the next generation of AI compute, a large-scale system-on-chip (SoC) designed to power future high-performance AI systems. As the SoC Validation Lead, you will be responsible for enabling pre-production software to run reliably on new silicon quickly and efficiently, before showing that the silicon meets the highest standards of quality, reliability and functionality, ready for production deployment. You will lead a team delivering post-silicon validation across the full AI SoC, working across silicon, firmware, and platform levels. The role requires a deep technical understanding, strong hands-on debug experience, and the ability to collaborate effectively with hardware, software, and systems engineering teams. Key responsibilities Define and lead post-silicon validation strategy Develop and refine the overall post-silicon validation approach for our AI SoCs, ensuring reliable and timely delivery of validated silicon, architectural correctness, feature robustness, and at-scale system reliability. Drive cross-domain debug and issue resolution Lead investigation and resolution of complex issues spanning silicon, firmware, operating systems, and platform interactions. Ensure that fixes are effective and sustainable. Promote collaboration and shared understanding Work closely with
Global Services Principal — 5 Locations. Apply via Workday.
Global EHS Principal Operations Safety Engineer — 3 Locations. Apply via Workday.
Global Services Principal — 5 Locations. Apply via Workday.
Dry Etch MTS/Principal Engineer, Process Development SG, Advanced NAND — Fab 10N/X, Singapore. Apply via Workday.
Dry Etch Staff/Principal Engineer - Advanced NAND — Fab 10N/X, Singapore. Apply via Workday.
Senior/Staff/Principal Engineer, HIG-HBM Product System & Engineering (Media Health Manufacturing) — Fab 10A, Singapore. Apply via Workday.
Senior/Staff/Principal Engineer, Product Engineering — Hyderabad - Phoenix Aquila, India. Apply via Workday.
Senior/Staff/Principal Engineer, HIG-HBM Product System & Engineering (Media Health Reliability Coding) — Fab 10A, Singapore. Apply via Workday.
Senior/Staff/Principal - Adv Pkg TD Integrator — Fab 10A, Singapore. Apply via Workday.
Senior Engineer/Principal Engineer, CPIE RAM Detection Strategy — Boise, ID - ID1. Apply via Workday.
Senior/Staff/Principal Engineer, HIG-HBM Product System & Engineering (Media Health Reliability) — Fab 10A, Singapore. Apply via Workday.
Uniformity Staff/Principal Engineer, Front End, Central Product Integration (FE cPIE) — Taichung - Fab 16, Taiwan. Apply via Workday.
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