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Amazon Corporate LLC Machine Learning Scientist - Applied Scientist, Talent Assessment in Seattle, Washington

Job summaryAmazon's Talent Assessment team ensures the right people are matched to the right roles, quickly, fairly, and with an amazing experience. To achieve this, we design, implement, and optimize hiring systems experienced by millions of candidates annually. We work in a data-rich, global environment solving complex problems with deep thought, large-sample research, and advanced quantitative methods to deliver practical solutions that make all aspects of hiring more fair, accurate, efficient, and enjoyable.Key job responsibilitiesWe're looking for an experienced applied scientist who is equal parts researcher, consultant, and thought leader, with strong expertise in machine learning, measurement, and research methodology. In this role, you will apply your skills in collaboration with cross-functional teams of psychologists, UX researchers, engineers, and product managers, to research, develop, analyze, and implement new talent evaluation products intended to measure and predict exactly what it requires to be an engaged and successful employee at Amazon.A day in the lifeYou will work with a variety of data sources (e.g., structured assessment question responses, unstructured text or audio data, mined data, behavioral data) requiring a breadth of ML knowledge and techniques to deploy scalable algorithms and products. Deployed products must also meet strict fairness and model interpretability standards. You'll be expected to stay informed on the latest machine learning, natural language and artificial intelligence trends.About the teamWe are a team of scientists, and this is an important part of our professional identities. We take our continuing education as well as our contributions to the continuing education of others seriously. To this end, we regularly look for opportunities to engage in reading groups with our peers, present at internal and external conferences, publish our work, and engage in other professional activities in support of our or others development. Learn more about being a scientist at Amazon: put a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life.We embrace differences and are committed to furthering our culture of inclusion. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience3+ years of experience in building machine learning models for business applicationExperience programming in Java, C++, Python or related language10+ years industrial/academic experience in research, data science, machine learning or a related field, including the following:Experience (academic or industrial) in algorithm and model development, validation, and implementation for large-scale applicationsExperience with NLP algorithms (e.g., BERT and transformer-based models, topic models) and libraries (e.g., PyTorch, HuggingFace, Tensorflow)Experience with cloud-based model and/or container deployment technologies (e.g., AWS Sagemaker, Fargate, ECS, GCP, Azure, Kubernetes, Docker)Experience working on fairness in artificial intelligence/machine learning systems, including counterfactual analysis, constrained optimization, and dataset de-biasingExperience working with engineering teams to implement and scale algorithmsExcellent written and oral communication skills, including communicating complex technical concepts to cross-functional teams and business leadersThe pay range for this position in Jersey City is $167,100 - $226,100 /yr; however, base pay offered may vary depending on job-related knowledge, skills, and expe