AI Lab - Machine Learning Engineer

AI Lab - Machine Learning Engineer

Description -

Machine Learning Engineer (GenAI Modelling)

The AI Lab (under the well-known Technology and Innovation Office) is responsible for bringing state-of-the-art research in Generative AI (and AI in general) to HP’s product portfolio  to solve top user needs and enable all new type of user experiences. The team is in two main locations: Sant Cugat (ESP) and Palo Alto (US). The AI Lab goal is to operationalize the Gen AI model lifecycle, build models to support the top initiatives within HP, and do research on Generative AI. We are looking for an experienced Machine Learning Engineer with expertise and passion in the Gen AI space.

The AI Lab is seeking an individual to join our team as an ML Engineer in our HP Sant Cugat R&D unit. The candidate will research and develop generative AI models and work with other team members and business unit partners to develop proof-of-concept prototypes and help move technologies to product. Also, the candidate should be able to form and mentor other scientists and junior developers.  Strong communication skills are required, and the ability to drive applied and pure research into production is highly valued.

Responsibilities:

• Build GenAI solutions by incorporating the latest industry best practices and techniques. Execute the technical strategy of the AI Lab with the goal of supporting HP’s roadmap.
• Develop and lead tooling to support the model lifecycle and encourages the use of best practices. 
• Implement state-of-the-art Gen AI modelling (finetuning), quantization and evaluation techniques. 
• Manages and creates relationships with business partners to evaluate and foster AI driven innovation, provides domain-specific expertise in cross-organization projects / initiatives.
• Prepares and presents literature, presentations, invention disclosures for peer review & publication in industry generative AI domain initiatives and conferences.
• Assures insights are communicated regularly and effectively, reviewing designs, models and data compliance.
• Provides guidance, training and mentoring to less experienced staff members.

Education & Experience Recommended:

• BSc and MSc in Computer Science, Artificial Intelligence, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically, 3+ years of work experience, preferably in machine or deep learning, generative AI, statistical modelling, or a related field.
• Experience working in cross-functional teams and collaborating with diverse stakeholders to deliver complex projects 
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and engage with customers to understand their needs. 
• Strong analytical and problem-solving abilities.

Knowledge & Skills:

• Programming Language/s certification (Python, C++, C#, Java or similar).
• Broad knowledge of machine learning, deep learning, generative AI and statistical modelling.
• Expertise with building robust software systems based on AI techniques.
• Hand-on experience on Generative AI and Machine Learning (LLMs, LVMs, LMMs, LAM, NEURO SYMBOLIC, SAM) development, quantization and deployment.
• Experience with deep learning frameworks such as PyTorch.
• Experience on deploying models on prem (GPU, CPU or NPU devices).
• Contributions to the AI community (e.g., publications, patents, open-source projects, or participation in conferences and workshops) is a plus.

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.

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