Role at a glance
- Salary
- $142.8K – $193.2K/yr
- Location
- Seattle, Washington, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- PhD in computer science, machine learning, engineering, or related fields
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Role Summary
The Applied Scientist will build state-of-the-art machine learning models for biology within an Amazon Special Projects team focused on innovating at scale. The role involves applied and academic research in the product area and collaboration with scientists, engineers, product managers, and other teams to bring products to market.
What You'll Do
- Build state-of-the-art ML models for biology
- Conduct academic and applied research in the product area
- Collaborate with scientists, engineers, and product managers
- Collaborate with other teams
- Bring products to market
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required
- PhD in computer science, machine learning, engineering, or related fields
- Experience with programming languages such as Python, Java, C++
- Knowledge of deep learning, machine learning and statistics
Preferred
- Experience using Unix/Linux
- Experience in professional software development
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience in deep learning models for life sciences; knowledge of protein biology.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
Basic Qualifications
- PhD in computer science, machine learning, engineering, or related fields- Experience with programming languages such as Python, Java, C++
- Knowledge of deep learning, machine learning and statistics
Preferred Qualifications
- Experience using Unix/Linux- Experience in professional software development
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience in deep learning models for life sciences; knowledge of protein biology.
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, WA, Seattle - 142,800.00 - 193,200.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.