Machine Learning/Ai Research Engineer

Machine Learning/AI Research Engineer (Post-doc) page is loaded Machine Learning/AI Research Engineer (Post-doc) Apply locations Galway, Galway, Ireland Dublin, Dublin, Ireland time type Full time posted on Posted 2 Days Ago job requisition id Machine Learning/AI Research Engineer (Post-doc)This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work.
We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here.
We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good.
If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.
Job Description:
What the project is about:
The COIN Project (Control-Oriented Innovations for Future Ocean Energy Farms) is focused on advancing renewable ocean energy in response to climate goals and growing concerns over energy security and pricing.
By developing innovative solutions such as smart connectors for mooring and power, real-time AI-based wave prediction, and digital twin-based health monitoring, the project aims to overcome technical and economic challenges in wave energy.
These technologies, supported by a techno-economic optimization framework, are designed to improve the efficiency, reliability, and sustainability of ocean energy systems and support the transition to a cleaner energy future.
HPE is contributing its expertise in advanced control (reinforcement learning), forecasting, and digital twin technology to help drive the successful commercialization of this cutting-edge renewable energy solution.
Start/End Date
: October 2025 to September 2028 (3 Years)
Location:
Galway / Dublin
Mandatory Requirements:
PhD degree (or Master's with equivalent research and innovation experience)
What we are looking for:
Hewlett Packard Labs is currently seeking a highly qualified, self-motivated machine learning/AI researcher to be part of a new and growing AI research team in Ireland, to accelerate research towards various applications of digital twins incorporating Machine Learning.
Hewlett Packard Labs
is an international research organization with its headquarters and largest facility located in Silicon Valley, California.
As the central research organization for HPE, Hewlett Packard Labs' purpose is to deliver breakthrough technologies that provide a competitive advantage for the company, by investing in fundamental areas of interest to HPE and getting the resulting technologies ready for adoption.
The AI Research Lab (AIRL)
focuses on applied ML research and applications of interest to HPE and HPE's customers.
AIRL's research focuses on Reinforcement Learning applications in sustainability, digital twins, complex scientific applications (like fusion energy), LLMs, trustworthy and responsible AI, and the data foundation infrastructure for AI.
Our team is diverse, with a broad range of skill sets and expertise that enables the exploration of innovative ideas that are not possible in monolithic research organizations.
We are seeking highly qualified candidates to join our team as a machine learning research engineer.
We are interested in individuals with a background in machine learning, time series analysis, reinforcement learning and Digitial twins.
Digital twin applications require a strong engineering background with an aptitude to model physical systems.
The ideal candidate demonstrates an entrepreneurial interest in creating new products and technologies with a fluency in system level analysis and design.
We expect all our team members to provide thought leadership and technical influence internally and externally, take innovative ideas and make them real - contributing along the full range from conception, to design, development, implementation, evaluation, and technology