Principle Machine Learning Scientist

## Company: Qualcomm Vietnam Company Limited ## Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software. Minimum Qualifications: • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Preferred Qualifications: • Master's degree in Computer Science, Engineering, Information Systems, or related field. • 5+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras). • 5+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware. • 5+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media). • 5+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++) • 5+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule). • 4+ years in a technical leadership role with or without direct reports (only applies to positions with direct reports). • 4+ years experience working in a large matrixed organization. • 3+ years of work experience in a role requiring interaction with senior leadership (e.g., Sr. Director and above). • Developed 1+ novel Machine Learning architecture(s). Principal Duties and Responsibilities: • Leverages expert Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations. • Acts a technical expert for modeling, architecture, and developing highly advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions. • Develops highly critical optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with hardware teams for joint design and development. • Oversees the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same. • Acts as a technical lead for teams developing, adapting, and prototyping machine learning solutions; reviews and helps write proposals or roadmaps for sub-systems of complex products and features. • Provides technical expertise for experiments that train and evaluate machine learning solutions and communicates progress to key stakeholders. Level of Responsibility: • Provides supervision to direct reports. • Decision-making is critical in nature and highly impacts program, product, or project success. • Requires verbal and written communication skills to convey highly complex and/or detailed information. May require strong negotiation and influence with large groups or high-level constituents. • Develops and administers budgets, schedules, and performance standards for functional area within the prescribed budgetary objectives of the department. • Has influence over the formulation and achievement of long-term business plans and objectives. • Tasks often require multiple steps which can be performed in various orders; extensive planning, problem-solving, and prioritization must occur to complete the tasks effectively. Applicants: Qualcomm is an equal opportunity employer. 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