Senior Machine Learning Engineer

Company:Qualcomm Vietnam Company Limited, Hanoi Branch OfficeJob Area:Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary: About Qualcomm AI Research Qualcomm AI Research is at the forefront of advancing the state of the art in artificial intelligence. Our global team of researchers and engineers is dedicated to pushing the boundaries of AI across generative AI, foundation models, multi-modal (text/image/video) generation, reasoning, reinforcement learning, with a strong emphasis on efficient on-device intelligence. The Vietnam team plays a critical role in driving cutting-edge research and system-level innovation, contributing to Qualcomm's leadership in generative AI across mobile, automotive, XR, and robotics.Job OverviewWe are seeking a Senior AI Research Engineer to join our dynamic and talented team in Vietnam. This role is ideal for a highly motivated and talented research engineer with a strong background in generative AI, machine learning, deep learning, and software engineering. You will work directly with AI research teams to implement algorithms, conduct experiments, develop research-oriented software tools, as well as work together with global research and product teams to bring generative AI models to embedded devices.Key ResponsibilitiesDesign, implement, train, optimize and deploy cutting-edge generative AI models and solutions.Conduct large-scale experiments and iterate rapidly.Ensure code quality, scalability, and maintainability.Support system design and transition prototypes to production.Required SkillsStrong Python and PyTorch programming skills demonstrated through relevant industry experience.Hands on experience with both diffusion models and autoregressive transformer-based architectures.Skilled in model training, fine-tuning, prompt engineering, evaluation, and pipeline optimization.Proficient in C++ and Android development.Experience with model optimization (e.g., quantization, pruning, distillation), and deployment on-edge devices and embedded platforms is a big plus.Experience with software engineering best practices. Familiar with development lifecycle and Agile methodologies.Comfortable working in a distributed team environment.Minimum QualificationsB.Sc. degree in Computer Science, Electrical Engineering or related field.3+ years of relevant experience.Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and programming languages (Python, C++).Knowledge of LLMs, LVMs, transformers and diffusion models.Excellent problem-solving and communication skills.Preferred QualificationsMSc or PhD, or equivalent experience from a recognized AI Residency program.Publications in top-tier AI/ML conferences.Experience in contributing to AI research projects.Contributions to open-source AI projects or community efforts.Why Join UsWork in a globally recognized AI research team.Contribute to high-impact, strategically important projects.Collaborate with leading researchers and engineers across Qualcomm.Thrive in an inclusive, innovation-driven environment.Enjoy competitive compensation and career growth opportunities.Minimum Qualifications:• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. ORMaster's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. ORPhD in Computer Science, Engineering, Information Systems, or related field Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability- or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.If you would like more information about this role, please contact Qualcomm Careers.