Junior Machine Learning Engineer

The AI Lab, under the Technology and Innovation Office, is responsible for bringing state-of-the-art research in Generative AI to HP's product portfolio. We are seeking a Junior Machine Learning Engineer with expertise and passion in the Gen AI space to join our team in Sant Cugat, Spain.

The successful candidate will research and develop generative AI models, collaborate with team members and business unit partners to develop proof-of-concept prototypes, and help move technologies to product. Strong communication skills are required.

Responsibilities:

• Help execute the technical strategy of the AI Lab to support HP's ambitious AI roadmap.
• Support the application of new processes and standards to ensure high-quality and safe models.
• Develop tooling to support the model lifecycle and encourage best practices.
• Adopt state-of-the-art Gen AI modelling and evaluation techniques.
• Help develop strategic engineering proof of concepts in the Gen AI space.

Requirements:

• BSc or MSc in Computer Science, Artificial Intelligence, Mathematics, Data Science, or a related discipline.
• 0-3 years of work experience, internships related to the job content are valuable.
• Good communication and interpersonal skills, with the ability to collaborate effectively and learn with agility.

Knowledge & Skills:

• Programming language certification (Python, C++, C#).
• Knowledge of machine learning, deep learning, generative AI, and statistical modelling.
• Experience with finetuning or evaluation work in generative AI and machine learning.
• Experience leveraging models from repositories such as Hugging Face.
• Experience with deep learning frameworks such as PyTorch.

What we offer:

• Opportunity to work in an international organization.
• Diverse, continued internal growth and career opportunities.
• Attractive benefits package: health & life insurance, lunch at reduced prices, HP product discount.
• Work-life balance and flexible working hours.
• Opportunities to get involved with global business networks and community activities.