Sr. Applied Scientist, Special Projects

Sr. Applied Scientist, Special Projects Amazon.com Services LLC

• 3.5 Boston, MA Job Details Full-time $167,100
• $226,100 a year 2 hours ago Benefits AD&D insurance Health insurance Dental insurance Flexible spending account RSU Paid time off Adoption assistance Parental leave Employee assistance program Vision insurance 401(k) matching Qualifications TensorFlow 6 years Scientific research Spark NumPy R Big data systems MXNet Java Master's degree C++ Spark implementation Doctor of Philosophy Distributed systems Distributed computing Senior level Cross-functional collaboration Model evaluation Machine learning frameworks Cross-functional communication Hadoop Full Job Description

DESCRIPTION

Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company's Think Big leadership principle to the limits. If you're interested in innovating at scale to address big challenges in the world, this is the team for you. As an Applied Scientist on our team, you will focus on building state-of-the-art ML models for biology. Our team rewards curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the forefront of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with other teams. Key job responsibilities Build, adapt and evaluate ML models for life sciences applications Collaborate with a cross-functional team of ML scientists, biologists, software engineers and product managers

BASIC 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

PREFERRED 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, MA, Boston

• 167,100.00
• 226,100.00 USD annually USA, WA, Seattle
• 167,100.00
• 226,100.

00 USD annually