Social network you want to login/join with: Sr Applied Scientist, Optical Automation Team, Dublincol-narrow-left Client: Amazon Development Centre Ireland Limited Location: Dublin, Ireland Job Category: Other-EU work permit required: Yescol-narrow-right Job Reference:f14f345d6879 Job Views:5 Posted:19.06.2025 Expiry Date:03.08.2025col-wide Job Description: 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 AWSDiverse 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- Ph D, or Master's degree in ML or related field experience.- Experience in RAG/Graph-RAG.
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