AI Lab – ML Engineer, Model Optimization

Hewlett Packard Enterprise; España; Presencial; EUR 60.000 - 100.000; Jornada completa

Descripción de la vacante

An innovative company is seeking a Senior Machine Learning Engineer to lead initiatives in Generative AI. This role involves optimizing models for deployment in constrained hardware environments and collaborating with cross-functional teams to drive AI strategies. The ideal candidate will possess extensive experience in AI modeling, a strong educational background, and a passion for mentoring others. Join a dynamic team that values creativity and collaboration, and contribute to cutting-edge projects that shape the future of technology. This is an exciting opportunity to make a significant impact in the AI landscape.

Servicios

Health & Life insurance

Reduced-price lunch at canteen

Flexible working hours

Sports center access

Onsite medical team

Corporate volunteering activities

Diverse career growth opportunities

Networking activities through Women Network

Work-life balance initiatives

Hands-on workshops for printing technology

Formación

• 7+ years of experience in AI modeling or applied ML.
• Graduate degree in Computer Science or related field is preferred.

Responsabilidades

• Optimize models for deployment in memory-bound environments.
• Define technical roadmap for AI lab supporting HP's AI strategy.
• Mentor junior team members in AI modeling techniques.

Conocimientos

Training and fine-tuning of LLMs / LMMs

Data acquisition and preprocessing

Python

C++

Java

Effective Communication

Results Orientation

Learning Agility

Digital Fluency

Customer Centricity

Educación

Bachelor's Degree in Computer Science

Master's or PhD in AI

Descripción del empleo

Apply locations Sant Cugat del Valles, Barcelona, Spain time type Full time posted on Posted 30+ Days Ago job requisition id 3139994

Description -

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 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.
• 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.
• 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.

Job - Software

Schedule - Full time

Shift - No shift premium (Spain)

Travel -

Relocation -

Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here : Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement