Applied Scientist, Machine Learning Artificial Intelligence

AWS AI/ML is in search of world-class scientists and engineers to join its AI Research and Education group. The group focuses on foundation models, large-scale representation learning, and distributed learning methods and systems. At AWS AI/ML, your job will be to invent, implement, and deploy cutting-edge machine learning algorithms and systems. You will build prototypes and innovate new learning solutions. You will work closely with our clients and the academic and research communities. You will be at the heart of a burgeoning and exciting area for AWS, working alongside well-known engineers and globally renowned scientists. Large-scale foundation models have recently propelled advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling. Developing such models requires dexterity in individual modalities as well as understanding how to synergistically combine them. It also requires the knowledge to scale the modeling methods to learn with large models and datasets. Join us to be an integral part of a team with diverse experiences in this field. Our areas of focus include: * Hardware-informed efficient model architecture, training objective, and curriculum design. * Distributed training, accelerated optimization methods. * Continual learning, multi-task/meta learning. * Reasoning, interactive learning, reinforcement learning. * Robustness, privacy, model watermarking. * Model compression, distillation, pruning, sparsification, quantization. Our inclusive team culture at AWS embraces our differences and is committed to a culture of inclusion. We have ten employee-led affinity groups with more than 40,000 employees participating in over 190 chapters globally. We have cutting-edge benefit offerings and provide annual and ongoing learning experiences. These include our conversations on Race and Ethnicity and AmazeCon conferences. We value work-life balance highly. It isn’t about the hours you allot to home or office but the rhythm that energizes both aspects. We encourage work flexibility for fostering the perfect balance between your personal and professional lives. We are supportive, enthusiastic about new team members, and celebrate knowledge sharing and mentorship. With our mix of experiences and tenures, we assist in career growth through project allotment aimed at overall development. We are open to hiring candidates to work from one of the following locations: Santa Clara, CA, USA. Basic Qualifications: - 3+ years of experience building models for business application - PhD, or Master's degree and 4+ years of experience in CS, CE, ML, or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in areas such as algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer that doesn't discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Applicants requesting accommodations for disabilities should visit: https://www.amazon.jobs/en/disability/us. Our compensation is based on labor costs across several US markets. The base pay for this position ranges from $136,000/year to $222,200/year. Pay depends on many factors, including location, job-related knowledge, skills, and experience. Amazon's total compensation may include equity, sign-on payments, and other forms of compensation, in addition to a full range of medical, financial and other benefits. Visit: https://www.aboutamazon.com/workplace/employee-benefits. Apply via our internal or external career site.