Sr Applied Scientist, Optical Automation Team

Amazon is seeking a Senior Applied Scientist for our AWS Networking organization to join a team designing and developing software and services required to configure, maintain and expand our global optical network. The successful candidate will help us with business problems that require machine learning training to get automated.
We're looking for someone who is highly autonomous, strives in ambiguous situations and has multi-year hands on experience in building Ml solutions.

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.











Key job responsibilities
An Applied scientist on the team is expected to guide Network software teams on building ML solutions to solve business problems that couldn't be solved with just software development. They need to deliver projects and interact with cross functional teams to understand their needs and use existing AI solutions or build a new ML solutions to automate their business problems.

A day in the life
Daily activities for this role will also include driving designs for components/solutions that deliver new features and capabilities using AI/ML, preparing estimates for upcoming deliverables, document proposed solutions, reviewing code of other members, writing well structured and optimized code, performing root cause analysis on operational events, providing project updates to leadership and other team members. This position involves on-call responsibilities.

As part of this team you will:
· Drive the AI and ML agenda for the DRES teams to shape the automation future in Networking.
· Partner with Network Engineers to collect needed data sets required to train Use and develop tools, services and processes that collect and rationalize data from different sources.
· Participate in an on call rotation with your team to support the software developed.
· Identify and troubleshoot recurring platform issues with effective escalation to senior-level engineering teams.


About the team
AWS Infrastructure Services (AIS)

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

About AWS

Diverse Experiences
AWS 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.

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.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & 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.

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.

Basic Qualifications

- 6+ years of hands-on experience building and deploying ML systems in production.
- Masters degree in Computer Science, ML, or related field.
- Experience of the programming languages Python or R, C++, Java.
- Proven portfolio of solving business problems through building ML solutions.
- Experience in influencing software teams to adopt AI/ML.

Preferred Qualifications

- PhD, or Master's degree in ML or related field experience.
- Experience in RAG/Graph-RAG.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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.