Applied Scientist, AWS AI Labs

Key Skills

Java Programming, Design of Experiment, Python Programming, C++, C Programming, SQL, Machine learning techniques, Statistical modeling

Job Description

Job summary
Amazon AI is looking for world class scientists to join its AI Lab. This group is entrusted with developing core machine learning algorithms for AWS. As a part of the AI Lab you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore novel solutions to new problems at scale. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.
Key job responsibilities

• Invent, implement, and deploy state of the art machine learning algorithms and systems for ML applications.
• Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment.
• Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services.
• Report results in a scientifically rigorous way.
• Interact with engineers, product managers and related domain experts to dive deep into the types of challenges that we need innovative solutions for.
• Work closely with a mentor to expand your career with AWS

A day in the life
Inclusive Team Culture
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-life 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 the team
The ML and Forecasting team is part of AWS AI Labs, supporting several internal and external services in the area of time series modeling, with particular focus on forecasting (Labor Planning, Sagemaker DeepAR, and GluonTS) and anomaly detection (Amazon DevOps Guru). The team also collaborates closely with the science teams supporting services in related areas, such as Amazon Forecast and Amazon Lookout for Metrics.

BASIC QUALIFICATIONS

• Masters of Science in computer science, operations research, statistics, engineering, or mathematics
• Proven experience in the field with a proven track record
• Proven experience with machine learning and statistical modeling techniques
• Familiarity with programming languages such as C/C++ and Python

PREFERRED QUALIFICATIONS

• PhD in DSP, ML, or CS
• Proven publication record in respected journals, conferences, Google Scholar, etc.
• Proven software design and development skills
• Experience working effectively with science, data processing, and software engineering teams
• Proven track record of innovation and advancing the state of the art
• Written and verbal communication skills in English