Lead Research Scientist

2 weeks ago

Santa Clara, California, United States Amazon Full time

Join Our Team

Become a part of the AWS AI science team, where you will contribute to the development of cutting-edge models for intelligent automation.

About AWS Utility Computing

AWS Utility Computing (UC) is at the forefront of product innovation, offering foundational services like Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2). Our commitment to delivering new product innovations continuously sets AWS apart in the industry.

Your Role

As a member of the UC organization, you will play a vital role in the development and management of services across Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Applications within AWS. You will also provide support for customers requiring specialized security solutions for their cloud services.

Impactful Research

At AWS, we are the leading provider of cloud services, empowering countless businesses and making a positive impact in the world. As an Applied Scientist, you will have the opportunity to see your research yield immediate benefits. Collaborate with technology and business teams to tackle real-world challenges, leveraging extensive data and computational resources, alongside world-class engineers and developers to bring your ideas to fruition.

What We Seek

We are in search of exceptional researchers with expertise in one or more of the following domains: autonomous agents, large multimodal models (particularly vision-language models), reinforcement learning (RL), and sequential decision-making.

Team Environment

Our team values diverse experiences. We encourage candidates from various backgrounds to apply, regardless of whether they meet all qualifications. If your career path has been non-traditional or includes alternative experiences, we welcome your application.

Why Choose AWS?

Amazon Web Services (AWS) is the most comprehensive and widely adopted cloud platform. We pioneered cloud computing and continue to innovate, earning the trust of customers ranging from successful startups to Global 500 companies.

Inclusive Culture

At AWS, we foster a culture of learning and curiosity. Our employee-led affinity groups promote inclusion and celebrate our differences. Regular events and learning opportunities, such as our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to embrace our uniqueness.

Career Development

We are committed to raising our performance standards as we strive to become Earth’s Best Employer. You will find abundant knowledge-sharing, mentorship, and career advancement resources to help you grow as a well-rounded professional.

Work-Life Harmony

We prioritize work-life balance. Achieving success at work should not come at the expense of personal sacrifices. We aim for flexibility in our working culture, ensuring that when you feel supported both at work and home, you can achieve great things in the cloud.

Flexible Work Options

We recognize that innovation often requires uninterrupted focus, but we also value in-person collaboration. Our team offers options for employees to work in the office daily or adopt a flexible, hybrid work model.

Basic Qualifications

  • PhD or Master's degree with 6+ years of applied research experience
  • 3+ years of experience in building machine learning models for business applications
  • Proficiency in programming languages such as Java, C++, Python, or related languages
  • Experience with neural deep learning methods and machine learning

Preferred Qualifications

  • Familiarity with modeling tools like R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy, etc.
  • Experience with large-scale distributed systems such as Hadoop, Spark, etc.

Amazon is dedicated to fostering a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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