Principal Staff Ml Ai Engineer Jobs

Principal/Staff ML/AI Engineer, Product Engineering, STPG — Fab 10N/X, Singapore. Apply via Workday.

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

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role You will work on core enterprise platform systems, focusing on services that ensure Synthesia is secure, reliable, and scalable for our largest customers. You will contribute to our new suite of APIs that will unlock our market leading Avatar technology to be utilised by external creative tools. We are an AI native company and use the most powerful assistant tools on a daily basis to increase our speed of development, automate repetitive tasks and widen the scope of what the team can worked on. This includes Claude and Cursor. You will have ownership of projects that span months and multiple teams, requiring you to break down complex, ambiguous problems into clear steps that can be delivered and validated iteratively. Engineers within Synthesia are empowered to contribute heavily to product discussions and build with both user and business considerations in mind. Impact is key to everything we do here. You will work closely with product, security, legal, and infrastructure partners, and will be expected to translate business and regulatory requirements into scalable technical solutions. You will evaluate your work through system health and reliability metrics, leveraging observability and monitori

Principal/Staff Engineer, PCVD Film Deposition, TD — Fab 10N/X, Singapore. Apply via Workday.

Principal / Staff Engineer, Embedded Security, Firmware Development (SSD) — MSB, Singapore. Apply via Workday.

Principal/Staff Engineer, Process Integration, NTI NAND — Fab 10N/X, Singapore. Apply via Workday.

Principal/Staff Process Integration Engineer — Hiroshima - Fab 15, Japan. Apply via Workday.

Principal/Staff Engineer Engineer, APTD CEM - Advanced Packaging Die Level Technology Engineering — Fab 10A, Singapore. Apply via Workday.

Principal/Staff/Senior Engineer, APTD CEM - Advanced Packaging Wafer Level Technology Engineering — Fab 10A, Singapore. Apply via Workday.

Principal/Staff Engineer, FE OCT TIQ — Taoyuan - Fab 11, Taiwan. Apply via Workday.

Principal/Staff Engineer, FE OCT Materials Cost — 2 Locations. Apply via Workday.

Principal/Staff Engineer, Frontend Operations Central Team Materials Cost — Hiroshima - Fab 15, Japan. Apply via Workday.

Principal/Staff Engineer, FE OCT Materials Cost — Fab 10A, Singapore. Apply via Workday.

Principal/Staff Engineer, FE OCT TIQ — Fab 10A, Singapore. Apply via Workday.

Principal/Staff, APTD - Advanced Packaging Wafer Level Technology Process Engineer — Fab 10A, Singapore. Apply via Workday.