AI Lab - Machine Learning Engineer

HP UK; Sant Cugat del Vallès; Presencial; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A global technology company in Sant Cugat del Vallès is looking for an experienced Machine Learning Engineer to develop and operationalize generative AI solutions. The successful candidate will have a strong background in machine learning, collaborate effectively with various teams, and contribute to innovative AI projects. The role offers full-time employment with an attractive benefits package and opportunities for growth.

Servicios

Health & Life insurance

Lunch at reduced prices

HP product discount

Flexible working hours

Onsite sports center

Formación

• 3+ years of work experience in machine learning or generative AI.
• Experience in collaborating with diverse stakeholders.
• Strong analytical and problem-solving abilities.

Responsabilidades

• Build GenAI solutions using industry best practices.
• Develop tooling for model lifecycle support.
• Research and develop generative AI models.

Conocimientos

Machine Learning

Generative AI

Python

C++

C#

Educación

BSc and MSc in Computer Science or related discipline

Herramientas

PyTorch

Descripción del empleo

Overview

Machine Learning Engineer (GenAI Modelling) – The AI Lab (within the Technology and Innovation Office) is responsible for bringing state-of-the-art research in Generative AI to HP’s product portfolio to solve top user needs and enable new types of user experiences. The team operates 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 HP’s top initiatives, and conduct research on Generative AI. We are looking for an experienced Machine Learning Engineer with expertise and passion in the Gen AI space.

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 encourage the use of best practices.
• Implement state-of-the-art Gen AI modelling (finetuning), quantization and evaluation techniques.
• Manage and create relationships with business partners to evaluate and foster AI-driven innovation; provide domain-specific expertise in cross-organization projects / initiatives.
• Prepare and present literature, presentations, invention disclosures for peer review and publication in industry generative AI domain initiatives and conferences.
• Ascertain insights are communicated regularly and effectively, reviewing designs, models and data compliance.
• Provide guidance, training and mentoring to less experienced staff members.
• Research and develop generative AI models and collaborate with team members and business partners to develop proof-of-concept prototypes and move technologies to production.

Education & Experience

• BSc and MSc in Computer Science, Artificial Intelligence, Mathematics, Data Science, or 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 languages : Python, C++, C#, Java or similar.
• Broad knowledge of machine learning, deep learning, generative AI and statistical modelling.
• Experience building robust software systems based on AI techniques.
• Hands-on experience in 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 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 from around the world.
• Diverse, continued internal growth and career opportunities, including HP’s 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 networks to get involved with locally.
• HP's Corporate Volunteering activities, including HP Charity day.
• Onsite sports center and wellness offerings.
• Onsite Doctor and medical team services.

Job Details

• Schedule : Full time
• Shift : No shift premium (Spain)

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 note the Equal Employment Opportunity policy in effect.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

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