Ai Lab – Ml Engineer, Model Optimization

hace 2 meses

Barcelona, España Hewlett Packard A tiempo completo

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 would help drive key initiatives in this space, especially focusing on optimizing models and deploying them in constraint HW including memory-bound environments and on CPU, xGPU and NPU.
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 Focus on model optimization and deployment, exploring and implementing strategies that allow reducing memory footprint and improve latency, without a significant impact on model quality.
Help define the technical roadmap of the AI lab with the goal of supporting HP's ambitious AI roadmap.
Define and develop processes and standards to ensure that the team is building high quality and safe models.
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.
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.
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.
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