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Hewlett Packard Labs

In office: Milpitas, California

  • 🇺🇸 United States
Annual Salary
USD 95k - USD 219k

Machine Learning Research Scientist (Sustainability)

This role has been designated as ‘Office’, which means you will primarily work from an HPE office.

Job Description:



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 on finding new and better ways to accelerate what’s next. We know diverse 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.


Role and Responsibilities

This research engineer position is for the AI research team at Hewlett Packard Labs, the core research organization in HPE. This team has done impactful work on reinforcement learning for complex systems, trustworthy AI, NLP, optimizations, and digital twins, with a track record of publications in top machine learning conferences with award-winning paper.

The responsibilities will include research, solutions, and IP development on emerging areas of Artificial Intelligence like Reinforcement Learning, Digital Twins, clean energy, data center optimizations, and sustainability. This will include technologies and tools for analysis, synthesis, and measurement for emerging areas of machine learning and will include advanced time series analysis, uncertainty quantification, optimization, and control. This involves innovation, design, development, implementation, evaluation, and technology transfer. It will be required to provide thought leadership and technical influence internally and externally to HPE and collaboration across organizations and with external partners. The role also involves contributing to the corporate strategy with an eye on emerging technologies. The candidate is expected to contribute to scientific literature and conferences and participate in developing patent applications.

This is a hands-on role, and the work will involve extensive software development, hardware optimizations, data pipelining, and innovations to implement robust AI solutions for real-world use cases. It will include working with systems programming, deep learning frameworks and models, GPU acceleration, model optimization, real-time streaming data, distributed computing, and scaling for multiple server nodes. The work will lead to the creation of digital twins for multiple domains.

Required Skills and experience

  • PhD in Computer Science, Electrical Engineering, or related fields with a focus on Machine Learning for the dissertation.

  • Experience in deep learning research required, preferably with Reinforcement Learning and/or Digital Twin exposure.

  • Experience in research and development in Reinforcement Learning and/or Digital Twins.

  • Experience and deep knowledge with different deep learning model architectures for time series, uncertainty quantification, optimization, control, etc.

  • Experience in developing deep learning software with frameworks like PyTorch and/or Tensorflow required.

  • Strong programming skills and experience with Python required.

Preferred Skills and Experience

  • Experience in Python Web Frameworks – Django, Flask - a plus.

  • Exposure to heterogeneous computation infrastructure optimization a plus.

  • Experience with ML model optimization, GPU acceleration, system software, and performance optimization desired.

  • Strong background in data structures, algorithms, and computer science fundamentals desired.

  • Experience with multi-threaded programming, parallel processing, OOD, OOP and distributed programming desired.

What we can offer you: 

Extensive benefits, a competitive salary and participation in the shared values and purpose that make Hewlett Packard Enterprise one of the world´s most attractive employers! At HPE, our goal is to provide equal opportunities, flexible work-life balance, and constantly evolving career growth. 

If you are looking for challenges in an exciting, supportive and international work environment, then we definitely want to hear from you. Continue the conversation by clicking apply now below, or directly via our Careers Portal at

Join us and make your mark! 

Find out more about us and follow us on: 

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. 

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Job Level:



States with Pay Range Requirement

The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at

Annual Salary: $95,100.00 - $218,700.00

Hewlett Packard Enterprise is EEO F/M/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. .