DescriptionHow often have you had an opportunity to be a founding member of a team solving connectivity problems at global scale through innovative technologies? Our Device Connectivity team, within Amazon’s Device organization (Amazon Echo, Fire TV, Fire Tablets, and more), is looking for a self-motivated and talented Sr. Applied Scientist to join our fast paced, start-up environment to help invent the future connectivity solution for homes and enterprises.You will be part of a passionate team whose missions is to push the frontier of data science and machine learning technologies into the device connectivity area. This is a great opportunity for you to innovate in this space by developing algorithms at the edge and in the cloud, and integrating them into both consumer and enterprise services to enable a premium customer experience. In this role, you will be the owner of end-to-end algorithm development cycle, from data collection and data engineering to algorithm design, implementation, optimization and deployment. You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized software solutions.Key job responsibilities
Apply best practices to investigate, acquire, process and analyze data sources for algorithm development.
Research and implement the state-of-the-art methods in big data and machine learning to deliver algorithms that meets product specifications.
Design, build algorithm evaluation frameworks, schedule and report algorithm performance on a regular basis.
Optimize and deploy algorithms on resource-constrained computing platforms on the edge.
Work with product management and cross functional teams to provide technical solutions for desired user experiences.
Work in an Agile/Scrum environment.
We are open to hiring candidates to work out of one of the following locations:Austin, TX, USA | Irvine, CA, USA | Sunnyvale, CA, USABasic 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 distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives.
Preferred Qualifications
PhD in math/statistics/engineering or other equivalent quantitative discipline
Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
Experience with with AWS AI/ML/Big data technologies and services.
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.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 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.