Machine Learning/AI Research Engineer (Post-doc)

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.

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 transfer. The ideal candidate thrives in an applied research environment, managing risk, and balancing management responsibilities with technical and scientific contributions, and brings such contributions to practice. We expect the successful candidate to collaborate with Hewlett Packard Labs’ research teams, with external partners, and to work in alignment with HPE's broader innovation community. Excellent software systems building skills, understanding of state-of-the-art AI/ML platforms and familiarity with technology and applications of digital twins are a significant plus.

The ideal candidate develops and programs integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications. Can work with large scale computing frameworks, data analysis systems, and modeling environments. Uses machine learning and statistical modeling techniques to improve product/system performance. Formulates descriptive, diagnostic, predictive and prescriptive insights/ algorithms and translates technical specifications into code. Applies, optimizes and scales deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations. Documents procedures for installation and maintenance, completes programming, performs testing and debugging, defines and monitors performance metrics.

Education and Experience

• PhD degree (or MS with equivalent research and innovation experience) in a relevant discipline (e.g., computer science, software engineering, electrical engineering, math, physics, statistics, mechanical engineering, etc.)

• Proven record of innovation with Deep Learning or with scientific and engineering computation involving the application of Machine Learning.

• Demonstrated experience with innovative solution development, developing proofs-of-concept, first-of-a-kind solutions, and technology transfer.

Technical Skills:

• Strong software development skills in Python and Pytorch are required.

• Strong application experience of Machine Learning with physical systems is required.

• Good understanding of digital twins, use of ML with Digital Twins, applications to sustainability

• A strong science or engineering background with aptitude for system level analysis and modeling.

• Deep understanding of the relevant environment, ecosystem, trends, and literature.

• Excellent research and development skills.

• Ability to innovate, make research contributions, and bring ideas to reality in compelling ways.

• Excellent written and verbal communication skills; mastery in English.

• Demonstrated ability to generate, frame, and carry out leadership research as shown, for example, by papers published in top-tier conferences or journals.

• Extensive knowledge of algorithms and data structures

Preferred Skills:

• Research experience with publications in machine learning/applied statistics/AI.

• Designing, implementing, and managing AI/ML systems.

At HPE, we’re:

• Human Rights Campaign’s 2023-2024 Corporate Equality Index
• Great Place to Work’s Best Workplace for Parents 2023
• Fortune 100 Best Companies to Work For® 2024
• Ethisphere World’s Most Ethical Company 2024
• The Civic 50 Honoree
• JUST Jobs Leader 2024
• Forbes 2024 America’s Best Employers For Diversity
• America's Most Just Companies 2024
• Fortune Best Workplaces in Texas™ 2024
• Bay Area's Best Places to Work 2024

Ready to take the next step?

Open up opportunities with HPE.

Accountability, Accountability, Action Planning, Active Learning (Inactive), Active Listening, Bias, Business, Calendar Management, Coaching, Computer Literacy, Creativity, Critical Thinking, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Office Administration, Policy and procedures, Recordkeeping, Risk Assessment, Software Development {+ 5 more}

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

#ireland #Hplabs

Job:

Administration

Job Level:

N/A

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.