Amazon Senior Applied Scientist

Job is more than 1 month old.

Job Details

Posted date: May 08, 2025

There have been 472 jobs posted with the title of Senior Applied Scientist all time at Amazon.
There have been 472 Senior Applied Scientist jobs posted in the last month.

Location: Seattle, WA

Estimated salary: $205,200
Range: $150,400 - $260,000


Description

Amazon Devices is looking for skilled and passionate 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 product. In 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 customer’s 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



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



Extended Qualifications

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

- Experience with large scale distributed systems such as Hadoop, Spark etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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.



Email/text job link for Senior Applied Scientist at Amazon

Provide your email or phone number to recieve a short message with the job link and details.

Check out other jobs at Amazon.