Scientific Machine Learning Research Engineer
5 days ago
Hewlett Packard Enterprise Development LP is a global edge-to-cloud company that accelerates innovation and growth. We are seeking a talented Scientific Machine Learning Research Engineer to join our team in advancing the way people live and work.
Company OverviewWe help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud. Our culture thrives on finding new and better ways to accelerate what's next. We know diverse backgrounds are valued and succeed here.
Salary InformationThe expected salary range for this position is $117,500.00 - $270,000.00 per year. This compensation includes base salary and target-level sales compensation pay.
Job DescriptionThis role has been designed as onsite with an expectation that you will primarily work from an HPE office. The Large-Scale Integrated Photonics Laboratory at Hewlett Packard Labs has an immediate opening for a research engineer with background in scientific machine learning (SciML). A successful candidate must have demonstrated the ability to apply contemporary optimization, machine learning, and artificial intelligence approaches to the simulation and design of scientific systems, circuits, and devices in a research setting.
Required Skills and Qualifications- PhD in electrical engineering, computer science, or related areas.
- Proficiency in and deep understanding of machine learning and/or artificial intelligence.
- Experience in applying ML/AI methods in a scientific setting.
- Excellent written and oral communications skills.
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. 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.
Additional InformationHewlett Packard Enterprise 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. Please click here: Equal Employment Opportunity.
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