Amazon Devices is looking for skilled and passionate scientists and engineers to join our world-class growing team.
As an Applied Scientist you will be conceiving designing and bringing to market computer vision techniques for a new confidential emerging this role you will work daily on challenging problems from the perspective of both a research and production engineer. You will be responsible for developing techniques from invention to validation and working cross-functionally to ship your algorithms into production. Broad knowledge of modern computer vision techniques and how to apply them in practice is required. You will need to develop new algorithms drawing from state of the art methods and be able to adapt them in order to work for new use cases in customers homes.
In this role you will need to define models drive best engineering practices and produce clean re-usable code. You must be prepared to deal with ambiguity and be ready to learn as you go. You will have the opportunity to influence product decisions and direction that will impact millions of customers.
Key job responsibilities
* Research develop implement and evaluate novel CV algorithms
* Work closely with software engineering teams to build scalable real-time implementations
* Optimize and deploy algorithms on target hardware platforms
* Define and drive large-scale data collection efforts
* Collaborate with team members on developing systems from prototyping to production level
* Influence system design by making informed decisions on the selection of data sources algorithms and sensors
* Design experiments perform statistical analysis and deliver ML models
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.