Senior Applied Scientist, Computer Vision

We are seeking a passionate and talented Applied Scientist with a growth mindset who has proficiency in a range of skills, particularly in the areas of Computer Vision and Machine Learning. Think about being a part of a team that is pioneering the future of Smart Glasses. The Echo Frames (Amazon's first Smart Glasses product) is just the beginning. Amazon is focused on integrating technology and design in a unique way that is familiar to millions of people. If you're excited about pushing boundaries and developing completely new experiences that enable users to engage more with the physical world, we would love to meet you. You'll have the opportunity to make an impact across several significant organizations and be a part of the creation of a new product niche within Amazon. Key Job Responsibilities: This role entails developing high-performance, real-time Computer Vision and Machine Learning solutions and their associated deployment. You'll be creating core models that are fundamental to our key operational features. You will keep up-to-date with the latest advancements in the field by conducting literature reviews. Regular interactions with product managers, software engineers, hardware engineers, and stakeholders who will aid in guiding and productizing your work is also part of this role. You will be tasked to guide end-to-end Computer Vision and Machine Learning methods that have considerable ambiguity, scale, and complexity. Also, building machine learning models, conducting proof-of-concepts, experiments, optimization, and deploying your models into production. You'll work closely with software engineers and product managers in productionizing your ML models. Hands-on data analysis on multi-sensor datasets to develop insights to drive product requirements is also part of the role. Your responsibilities will also include running A/B experiments, gathering data, and performing statistical analysis. You will also need to establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation, and serving. Researching new and innovative sensor processing and Computer Vision approaches is also part of this role. Besides, you will mentor and help recruit Applied Scientists to the team, present results and explain methods to team leadership as well as write and pursue IP submissions. About the Team: Our team highly values work-life balance. It's not about how many hours you spend at home or work but the energy you bring to both. We believe in achieving a balance between your personal and professional life for lifelong happiness and fulfillment. We offer flexible working hours and encourage you to find your own balance between your work and personal life. Our team is committed to supporting new members. We have a mixture of experience levels and tenures and are cultivating an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, kind code reviews. We care about your career growth and aim to assign projects based on what will enable each team member to become a better-rounded engineer allowing them to take on more complex tasks in the future. We are open to hiring candidates to work out of either Cupertino, CA or Sunnyvale, CA, USA. Basic Qualifications: - 3 or more years of experience in building machine learning models for business applications - Ph.D., or Master's degree and 6+ years of applicable research experience - Proficient in programming languages such as C/C++, Python, Java or Perl - Experience programming in Java, C++, Python or similar languages - Knowledge of neural deep learning methods and machine learning Preferred Qualifications: - Familiarity with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc. - Experience with vast scale distributed systems such as Hadoop, Spark, etc. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon offers total compensation. Depending on the position, equity, sign-on payments, and other forms of compensation may be provided in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.