AI and Machine Learning Engineer

Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree or PhD in Computer Science, Engineering, Information Technology or a relevant field.
  • 5+ years of experience in Machine Learning/Artificial Intelligence and High Performance Computing.
  • Proficient in programming languages such as Python, C, and C++.
  • Experience with AI benchmarks like NCCL, HPL, and containerized ML frameworks.
  • Strong analytical skills and experience with data-driven performance assessments.

Responsibilities

  • Install and configure complex IT infrastructure components including servers and storage.
  • Develop scripts for automating deployment of software and configurations.
  • Analyze performance of Large Language Models on HPE GPU servers.
  • Conduct system-level analysis on workloads for deep learning and machine learning.
  • Write white papers for AI workload guidance and model selection.
  • Capture and review system performance data to understand workload behavior.
  • Communicate technical findings to both technical and non-technical stakeholders.

Benefits

  • Comprehensive health and wellbeing benefits for team members and their families.
  • Access to personal and professional development programs to enhance career skills.
  • Strong commitment to unconditional inclusion and a flexible work environment.
Full Job Description
AI and Machine Learning Engineer

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Job Description:

High Performance Computing, AI and Labs are a critical element of HPE. We are focused on delivering innovative solutions that accelerate our customers' digital transformation, enabling them to tackle their complex, and data-intensive workloads. Combining deep expertise and the development of the world's most cutting-edge, high-performance supercomputers, is defining the next era of computing delivering valuable insight & innovation. Join us and redefine what's next for you.

Responsibilities:

  • Installs and configures complex IT infrastructure components (servers, storage, network)
  • Develop software scripts and configurations for automating deployment.
  • Study and improve the performance of Large Language Models run on HPE GPU servers
  • Performs system level analysis of server workloads on various HPE platforms running DL and ML code to include accelerated hardware and high-speed networks like InfiniBand
  • Writes white papers and other guidance documents for AI workload and model selection
  • Captures and reviews system performance data, logs, traces to understand workload behaviour
  • Develops software and scripts that help analyse AI workload performance data
  • Communicates technical work well and can provide summaries of work to non-technical colleagues
  • Works with software and hardware partners in optimizing systems and resolving performance issues
  • Documents and reports issues discovered when testing and evaluating the systems
  • Communicates project status and concerns to management in a timely manner
  • Provides guidance to less-experienced staff members.
  • Runs AI and HPC benchmarks.


Education and Experience Required:

  • Master's degree or PhD in Computer Science, Engineering, Information Technology or Systems, or relevant field.
  • 5+ years of experience.


Knowledge and Skills:

  • 5+ years of experience in Machine Learning/Artificial Intelligence and 5+ years of experience in HPC
  • Experience running NCCL, HPL and AI benchmarks.
  • Experience working with containers and distributed deep learning and neural networks, to include transformers used in generative AI projects
  • Experience working with High Performance Computer Servers, High Performance Networking, and associated software, including resource managers like Slurm
  • Experience working with Weka I/O, NFTS and Lustre File Systems
  • Programming experience in Python, C, C++
  • Strong analytical and critical thinking skills
  • Scripting, process automation and CI/CD are strongly desired
  • Must be a self-starter and be able to work with minimum supervision in a semi-remote setting


Additional Skills:

Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset.

What We Can Offer You:

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.

Let's Stay Connected:



#unitedstates

Job:
Engineering
Job Level:
TCP_03

"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 120,500 - 276,500 in Texas
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

About Hewlett Packard Enterprise Development LP

Hewlett Packard Enterprise Development LP Careers

Joining Hewlett Packard Enterprise Development LP presents an unparalleled opportunity to advance a career in technology alongside some of the industry's most innovative minds. Hewlett Packard Enterprise Development LP stands as a beacon of innovation, leadership, and professional growth, offering a plethora of job opportunities that cater to a diverse range of skills and experiences.

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Hewlett Packard Enterprise Development LP is committed to fostering a workplace where diversity and inclusion are integral to the company culture. Employees enjoy a range of benefits designed to support their physical, financial, and emotional well-being. From health insurance to retirement plans and flexible working conditions, the company ensures that team members have what they need to succeed.

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The commitment to employee growth is evident through comprehensive training and development programs that encourage continuous learning and career advancement. Leadership development and diversity training are pillars of the company's strategy, ensuring that all team members have the opportunity to lead and innovate.

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At Hewett Packard Enterprise Development LP, networking goes hand in hand with innovation. Employees are encouraged to connect with colleagues and leaders through various professional networks and company-sponsored events. This culture of collaboration drives the development of groundbreaking solutions and services, reinforcing the company's position at the forefront of the technology sector.

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