Artificial Intelligence Lab – Data Scientist (hp)

Artificial Intelligence Lab- Senior AI/ML Scientist 

Vision

All 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 Future Technologies and Experiences team (FT&E) 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 FT&E AI Lab is looking for an individual to join as the Senior AI/ML 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 candidate will be involved in the research and development of generative AI models and 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. The role will involve activities such as model research, model fine-tuning and optimization for edge, synthetic data collection, model error analysis, continuous model improvement and monitoring. 

Responsibilities 
• Provides technology leadership in AI/ML with depth in at least one AI/ML domain 

• Proposes innovations that improve on the state of the art while bringing meaningful impact 
• Develops/fine-tunes Generative AI (LLMs, LVMs, LMMs) models for target applications 
• Conducts model error analysis and strategizes methods to improve model performance 

• Proposes and implements methods to collect synthetic data curated for quality 
• 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 in Mathematics, Statistics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence. 
• Typically has 7-10 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field. 

• A track record of demonstrated innovation (patents/publications/product contributions)  

 
Preferred Certifications 
• Python, Pytorch, Tensorflow, Huggingface, Gen AI application development, local edge deployments (llama.cpp/ONNX/DirectML/OpenVino/Vitis)  

 
Knowledge & Skills 
• Algorithms 
• Artificial Intelligence 
• Deep Learning 
• Machine Learning 
• Natural Language Processing 

• 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.