AI Lab - Machine Learning Engineer

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.