Sr. Applied Scientist

Key Skills

C++, Python Programming, SQL

Job Description

The AWS Developer Tools org builds developer-focused products, frameworks, SDKs and services. This applied scientist role is for a new initiative that aims to redefine what software development looks like. Your role will be to help bring this new product to life as one of the founding members of this team.

As an applied scientist on our team, your role is to leverage your strong background in Computer Science and Machine Learning to help build our model development and assessment pipeline, harness and explain rich data at AWS scale, and provide automated insights to improve machine learning solution that will impact millions of developers every day. This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations. The ideal candidate will have experience with machine learning models and information retrieval system. We are particularly interested in experience applying natural language processing, deep learning, and reinforcement learning at scale. Additionally, we are seeking candidates with strong rigor in applied sciences and engineering, creativity, curiosity, and great judgment.

Inclusion

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance

Our team puts a high value on work-live balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

About Us

AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. Whether its Identity features such as access management and sign on, cryptography, console, builder & developer tools, and even projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second.

BASIC QUALIFICATIONS

• PhD. degree with 4+ years of applied research experience or a Master's degree and 6+ years of experience of applied research experience
• 3+ years of experience in building machine learning models for business application
• Experience programming in Java, C++, Python or related language
  MS or PhD in Artificial Intelligence, Computer Science, Physics, Statistics, Applied Math, or Operations Research

PREFERRED QUALIFICATIONS

• PhD. in Computer Science, Machine Learning, Statistics or a related quantitative field
• 6+ years of practical experience applying ML to solve complex problems in an applied environment
• Significant peer-reviewed scientific contributions in premier journals and conferences
• Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis
• Experience with defining research and development practices in an applied environment
• Proven track record in technically leading and mentoring scientists
• Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts