Imagine being part of a team building the future of Smart Glasses. Echo Frames (Amazon’s first Smart Glasses product) is just the beginning. Amazon is focused on bringing technology and design into a form that is familiar to millions of people in a way that has never been done before. If you are excited about pushing the envelope and developing brand new experiences that empower users to do more as they engage with the physical world, we would love to meet you. You will have the opportunity to make impact across a couple of substantive organizations and be part of the start of a new product space within Amazon.
Key job responsibilities
This role is focused on developing real-time CV and Machine Learning solutions and their deployment. You will develop core models that will be foundational to the key operational features that we are launching. You will conduct literature reviews to stay on the cutting edge of the field. You will regularly engage with product managers, software engineers, hardware engineers and stakeholders who will partner with you to guide and productize your work. You will drive end-to-end Computer Vision and Machine Learning methods that have a high degree of ambiguity, scale and complexity.
- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers and product managers to assist in productizing ML models
- Perform hands-on analysis on multi-sensor data sets to develop insights that drive product requirements
- Run A/B experiments, gather data, and perform statistical analysis
- Establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation and serving
- Research new and innovative sensor processing and Computer Vision approaches
- Mentor and help recruit Applied Scientists to the team
- Present results and explain methods to team leadership
- Write and pursue IP submissions and research publications
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience in embedded CV and/or ML
- Knowledge of quantitative approaches (e.g., t-tests, regressions, ANOVAs, etc.)
- 2+ years of quantitative field research experience
- Experience conveying complex subject matter to clients and stakeholders
- Experience communicating qualitative research methods and findings to non-qualitative researchers
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, 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. This position will remain posted until filled. Applicants should apply via our internal or external career site.