AWS AI/ML is looking for world class scientists and engineers to join its group working on deploying reinforcement (RL) and machine learning (ML) methods in real-world applications, studying, and building new approaches. Our vision is to advance the state-of-the-art in RL/ML especially as applicability of RL methods has not translated quite well to real world scenarios as they are known to be expensive to train, sample inefficient, sensitive to hyper-parameter settings, and lacking transferability to new tasks. Our team’s mission is to study these problems and make RL/ML approaches more robust and reliable. Building these solutions requires a solid foundation in machine learning and reinforcement learning technologies.
We are seeking a Senior Applied Scientist for the team. This is a role that combines science knowledge (around machine learning and reinforcement learning), technical strength, and product focus. It will be your job to develop novel ML/RL systems and algorithms while working with the engineering team to integrate them into different projects. 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.
About the team
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
