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- PhD, or Master's degree and 2 years of CS, CE, ML or related field experience
- Knowledge of programming languages such as C/C , Python, Java or Perl
- 1 years of building machine learning models or developing algorithms for business application experience
The Artificial General Intelligent team (AGI) seeks an Applied Scientist with a strong background in machine learning and production level software engineering to spearhead the advancement and deployment of cutting-edge ML systems. As part of this team, you will collaborate with talented peers to create scalable solutions for an innovative conversational assistant, aiming to revolutionize user experiences for millions of Alexa customers. The ideal candidate possesses a solid understanding of machine learning fundamentals and has experience writing high quality software in production setting. The candidate is self-motivated, thrives in ambiguous and fast-paced environments, possess the drive to tackle complex challenges, and excel at swiftly delivering impactful solutions while iterating based on user feedback. Join us in our mission to redefine industry standards and provide unparalleled experiences for our customers.
You will be expected to:
· Analyze, understand, and model customer behavior and the customer experience based on large scale data
· Build and measure novel online & offline metrics for personal digital assistants and customer scenarios, on diverse devices and endpoints
· Create, innovate and deliver deep learning, policy-based learning, and/or machine learning based algorithms to deliver customer-impacting results
· Build and deploy automated model training and evaluation pipelines
· Perform model/data analysis and monitor metrics through online A/B testing
· Research and implement novel machine learning and deep learning algorithms and models.
We are open to hiring candidates to work out of one of the following locations:
Boston, MA, USA
- 2 years of hands-on predictive modeling and large data analysis experience
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
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.
Full Time
Transportation
$119k-153k (estimate)
04/06/2024
05/01/2024
RANDALLSTOWN, MD
25 - 50
2018
$50M - $200M
Transportation