Jubil ID: 127

Company: Circle.so

Location: Anywhere

Description:
DescriptionAt Amazon
we believe that scientific innovation is essential to being the most customer-centric company in the world. Our scientists' ability to have an impact at scale allows us to attract some of the brightest minds in machine learning
artificial intelligence and related fields.Amazon scientists employ the company's working backwards method to identify problems to solve on behal

Qualifications:
PhD in one of the following disciplines: Computer Science
Machine Learning
Statistics
Applied Math or a related quantitative field 8+ years of relevant
broad research experience after PhD Publications at top-tier peer-reviewed conferences or journals in one of these areas: reinforcement learning
deep learning
and machine learning Fluency in Python
SQL or similar scripting languages Strong algorithm development experience Depth and breadth in state-of-the-art machine learning technologies Strong prior experience with mentorship and/or management of senior scientists and engineers 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

Benefits:
The base pay for this position ranges from $179
000/year in our lowest geographic market up to $309
400/year in our highest geographic market 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

Responsibilities:
You will be responsible for defining key research directions
adopting or inventing new machine learning techniques
conducting rigorous experiments
publishing results
and ensuring that research is translated into practice You will develop long-term strategies
persuade teams to adopt those strategies
propose goals and deliver on them You will also participate in organizational planning
hiring
mentorship and leadership development You will be technically fearless and with a passion for building scalable science and engineering solutions You will serve as a key scientific resource in full-cycle development