AI and Machine Learning Engineer

Key Skills

Aartificial intelligence, Algorithms, Apache Kafka, C++, Dask - Python library, Data Engineering, Data science techniques, Deep Learning, ETL frameworks, GPUs, High performance computing- HPC, Machine learning techniques, Natural Language Processing (NLP), NumPy, Pandas, PyTorch, SPARK Programming, TensorFlow

Job Description

What you will be doing:

The HPE AI Performance Group is seeking an M.S. or Ph.D. level engineer in AI/ML to develop, optimize and characterize representative applications and workloads that address the needs of our customers in this field.

All fields of AI/ML will be considered but currently the main areas of interest include Object Detection, NLP, Simulation, both training and inference.

The successful applicant will have conducted research or have equivalent work experience in areas such as in developing performant models (for example using binary weights, quantization techniques, model pruning, autoML techniques), distributed/parallel processing, in all forms (data, model, pipeline). We are looking for applicants with deep algorithmic knowledge and experience with working with acceleration libraries such as ROCm, NCCL, cuDNN, CUDA. Applicants with a range of relevant skills will be considered, so it should not be assumed that the applicant must currently meet all the capabilities listed in this description. However, a fundamental requirement of this position is an ability and willingness to acquire knowledge and skills that you don’t already possess and to continue to keep up to date with developments in AI.

Responsibilities:

• Optimize the performance of deep learning models on GPUs and accelerators, working at the algorithmic level as discussed above.
• Develop complete workflows from ingestion, ETL, training, through inference and model serving.
• Performance characterization of models and applications on HPE products

Required skills & experience:

• Ph.D., or M.S. plus additional work experience, in C.S., engineering or science field where your research or other project work was over 50% involving AI/ML.
• Experience using the common DL frameworks to include TensorFlow and PyTorch.
• Experience with distributed training and inference using APIs such as the PyTorch RPC, Distributed Data Parallel, TensorFlow Distribution Strategies, gRPC and Horovod. Also, the use of communication libraries such as MPI along with experience with the performance characteristics of high-performance network hardware and software to include InfiniBand.
• Python programming ability is an absolute requirement. Must made extensive use of libraries such as Pandas, NumPy, Dask.
• Familiarity with CUDA, cuDNN, NCCL, ROCm and other accelerator libraries. Experience coding with those libraries is a plus.
• Linux – both in using and in the understanding of performance tuning and profiling.

Extra Credit:

• Experience with programming in C++, golang or willingness to acquire the necessary skills.
• Experience with programming using Spark, Kafka and other dataflow API's
• Having worked on projects involving high-performance, multi-node communication; accelerators such as FPGAs and custom ASICs; algorithms that utilized model quantization, binary weights or other advanced approaches.

unitedstates hy-bryd spark, kafka golang, hpc, algorithms, remote modelquantization deeplearning, GPU, ai, ml, pytorch, TensorFlow

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.

Diversity, Inclusion & Belonging

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

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

unitedstates

highperformancecompute

Job:

Engineering

Job Level:

Specialist

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: $113,000.00 - $259,500.00

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. Please click here: Equal Employment Opportunity.

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