Artificial Intelligence/ Machine Learning Systems Scientist

Vision

The recent innovations in the Gen AI space have set the basis for a change in the way we work and how we interact with technology. Gen AI offers an unprecedented ability to understand our requests and generate high quality context in multiple modalities, including text, image, video and music, among others. While the first wave of Gen AI innovations has had a special focus on the cloud, there is strong impetus for offerings that live on the edge, where one can tightly control and secure personal data access, improve responsiveness and can reduce execution costs. In this context, the AI Lab, within the HP’s Technology Innovation Office (TIO) is conducting applied research in Gen AI with a focus on the edge. The resulting innovations will influence the HP Personal Systems product portfolio. 

Job details

The AI Lab is looking for an individual to join as Senior AI/ML Systems Scientist in our AI Lab team. The team will explore and push the boundaries of the state-of-the-art research in applied Gen AI research with a focus on edge applications, and work with different stakeholders to bring amazing technology into products. The ideal candidate will bring a mix of skills in systems engineering, high-performance computing, and AI/ML with a strong emphasis on efficient implementations on edge accelerators. The successful candidate will work with other team members and business unit partners to develop proof-of-concept prototypes and help move technologies from research to product. The role will involve research, development and model optimization for edge use cases.

Responsibilities

• Provides technology leadership in AI/ML with depth in system performance engineering
• Demonstrated proficiency in efficient model implementations in resource constrained settings
• Outstanding implementation skills with an eye on using available HW as efficiently as possible
• Proposes innovations that improve on the state of the art while bringing meaningful impact
• Implements alternative approaches and baselines from the latest research to understand gaps
• Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution.
• Represents the team in subject area of expertise when interfacing with other stakeholders
• Provides guidance, training and mentoring to less experienced staff members.
• Authors patents, external publications and model documentation

Education & Experience Recommended

• Graduate Degree (ideally PhD) in Computer Science, Electrical Engineering, Mathematics, Statistics, or any other related discipline or commensurate work experience or demonstrated competence. 
• Typically has 3-5 years of experience (including PhD studies), preferably in systems engineering for AI. 
• A track record of demonstrated innovation (patents/publications/product contributions)

Knowledge and Skills

• High performance computing for AI
• Efficient implementations optimally utilizing CPU, memory BW, available HW acceleration
• Knowledge of AI/ML especially latest GenAI models
• C/C++/Cuda/Python, Pytorch, Tensorflow (Programming Language)
• Software Engineering (sound coding practices, knowledge of SDLC and SW design, use of tools like Git)
• Use of Cloud Infrastructure (AWS/Azure)
• ML Ops best practices, versioning, experiment tracking, error analysis, attribution, monitoring

Cross-Org Skills

• Effective Communication

• Results Orientation

• Learning Agility

• Digital Fluency

• Customer Centricity

Impact & Scope 
• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives. 
 
Complexity 
• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. 
 
Disclaimer 
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

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