AI Lab - Senior ML Engineer (hp)

Job Summary

The AI Lab is responsible for bringing state-of-the-art research in Generative AI (and AI in general) to the Personal Systems (PS) product portfolio to solve top user needs and enable all new type of user experiences. The team will be in two main locations: Sant Cugat (ESP) and Palo Alto (US).

In this context, we are looking for a Senior Machine Learning Engineer that will help drive key initiatives in this space and support the modeling needs across the organization. You will be expected to help define and implement the best practices to manage the model lifecycle, from data acquisition to deployment, and to build the tools and platforms to facilitate building and deploying ML models on different devices with specific constraints. You will work closely with different teams across the organization to support their modeling needs, translating high-level user needs to specific modeling requirements, creating plans and technically driving the team to execute on those.
 

Responsibilities

• Help define the technical roadmap of the AI Lab with the goal of supporting HP ambitious roadmap.
• Define and develop processes and standards to ensure that the team is building high quality and safe models.
• Design and develop platform / tooling to support the model lifecycle and encourage the use of best practices.
• Adopt state-of-the-art Gen AI modeling and evaluation techniques.
• Execute strategic engineering proof of concepts in the Gen AI space.
• Partner closely with key stakeholders across functions in including product and design leads and help define the overall AI strategy.
• Mentor more junior team members.

Education & Experience Recommended

• Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. Master’s or PhD in AI or related area will be highly valued.
JOB IS FROM: italents.netVIEW
• Typically has 7+ years of work experience on AI modeling or applied ML.

Knowledge & Skills

• Training and fine-tuning of LLMs / LMMs.
• Data acquisition and preprocessing.
• Model lifecycle management.
• Software development.
• Programming languages (e.g, Python, C++, Java)

Cross-Org Skills

• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope

Influences HP’s long term AI strategy, one of the top investment areas for HP.
 

Complexity

Bring state-of-the-art AI models and techniques to support to user needs and to create new HW and SW categories.

What we offer:

• Opportunity to work in an international organization with colleagues coming from all over the world. 
• Diverse, continued internal growth and career opportunities. Including HP’s own learning platform and LinkedIn Learning. 
• An attractive benefits package: 
  • Health & Life insurance. 
  • Lunch at reduced prices at our canteen/ ticket restaurant vouchers.
  • HP product discount.
• Work life balance / flexible working hours.
• Women, Pride, Young employees, Sustainability and DisAbility! Just a few of our fantastic global business networks you can get involved with locally.  
• We also dedicate time and resources to contribute with our community through Corporate Volunteering activities, including our onsite HP Charity day.
• Do you like to give back to the community? Then join one of our many volunteering teams or be a part of the incredible HP charity day held on site annually.  
• Love sports? Then take advantage of our sports center (indoor and outdoor) with 25+ regular coordinated activities.
• We have an onsite Doctor and medical team for our employees, including services such as: nutrition, physiotherapy, and general health.
• Printing Happy hour – from photographs to large posters. And Hands-on workshops to print with the latest technology – from wall covers to 3D printed models.
• Our Women Network organizes activities such as Networking, the promotion of STEM vocations, talks on, improving business acumen, work life balance and skills of the future, etc.