Hewlett Packard Labs - Ai Data Foundation Post-Doc Research Engineer

Hewlett Packard Labs - AI Data Foundation Post-doc Research Engineer

  

This role has been designated as ‘Edge’, which means you will primarily work outside of an HPE office.

Job Description:

   

At HPE, we bring together the brightest minds to create breakthrough technology solutions and advance the way people live and work. Our legacy inspires us as we forge ahead dedicated to helping our customers make their mark on the world.

 

Learning does not only happen through training. Relationships are among the most powerful ways for people to learn and grow, and this is part of our HPE culture. In addition to working alongside talented colleagues, you will have many opportunities to learn through coaching and stretch assignment opportunities. You’ll be guided by feedback and support to accelerate your learning and maximize your knowledge. We also have a “reverse mentoring” program which allows us to share our knowledge and strengths across our multi-generation workforce.

Innovation drives progress in today’s world and Hewlett Packard Labs is charged with solving some of the most complex challenges for Hewlett Packard Enterprise businesses with a relentless focus on delivering technology breakthroughs that can transform the world and dramatically improve tomorrow’s products and solutions. Labs works hand-in-hand with HPE’s businesses, bringing our innovation roadmaps together with our business roadmaps, integrating key technologies into our products, and accelerating how we drive technology from R&D to commercialization.

The Artificial Intelligence Research Lab is a team at Hewlett Packard Labs that focuses on researching and developing a range of technologies, architectures, software and systems advancements in key areas of Deep Learning and Machine Learning with an emphasis on cutting edge challenges in Trustworthy AI, Data centric & Edge AI and AI for Science. This is a unique opportunity to work at a start-up pace within a big company. We are looking for a deep hands on entrepreneurial mind-set, and a passion to take a problem and iteratively develop elegant well-engineered solutions with a fast turnaround time. You will have an opportunity to work with Machine Learning experts in different areas including software engineering, hardware optimizations, data pipelining, and techniques from latest AI research.

Role and Responsibilities

We are seeking candidates interested in research and development of advanced technologies in Data-centric AI, including search, enhancement and interpretation of meta-data and lineage for AI datasets that would enable discovery, selection and usage of relevant high quality data for trustworthy AI outcomes across multiple AI applications. We are particularly interested in individuals with a background in computer systems, big data pipelines, data management, distributed storage systems, machine learning, deep learning, and statistics, with a good understanding of the current state of the art, major trends and opportunities, and a demonstrated track record in innovative research. The ideal candidate can thrive in an applied research environment, balancing significant technical contributions published externally in open source with the hands-on engineering skill to bring such contributions to practice in partnering with our internal software development teams and external partners.

Qualifications and Education Requirements

PhD in Computer Science or related fields with a focus on data management, big data, or Machine Learning

Preferred Skills

• Expertise in research of complex data layer technologies (data management systems, storage systems, filesystems)

• Familiarity with AI, Machine Learning and Deep Learning algorithms

• Experience in big data/ML/deep learning frameworks (e.g. Spark, Kafka, Tensorflow/Pytorch), end-to-end pipelines for AI and Machine Learning and in particular the data layer underlying the pipelines.

• Familiarity with tools and frameworks for DataOps, MLOps and Trustworthy AI

• Strong programming skills in Python, C/C++, with high proficiency in data structures and algorithms

• Outstanding analytical and problem solving skills.

• Experience in system software performance and scalability optimization – a plus

• Experience with multi-threaded programming, parallel processing, OOD/OOP/distributed programming – a plus

• Experience in containerized development and orchestration tools (e.g. Kubernetes, Ezmeral) – a plus

• Experience in deep learning research, GPU acceleration, and Model Optimization – a plus

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 www.hpe.com/careers.

 

Join us and make your mark!

 

Find out more about us and follow us on:

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HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBTand 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:

Administration

Job Level:

N/A

    

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 https://myhperewards.com/main/new-hire-enrollment.html.

Annual Salary: $130,000.00 - $160,000.00

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.