AI Lab - Junior Machine Learning Engineer
AI in this role
Description -
Junior 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 will be 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 Personal Systems, and do research on Generative AI. We are looking for a Junior 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 collaborate with other scientists, developers, and product managers on new applications. Strong communication skills are required.
Responsibilities:
- Help execute the technical strategy of the AI Lab with the goal of supporting HP ambitious AI roadmap.
- Support the application of new processes and standards to ensure that the teams are building high quality and safe models.
- Develop tooling to support the model lifecycle and encourages the use of best practices.
- Adopts state-of-the-art Gen AI modelling (finetuning) and evaluation techniques.
- Help develop strategic engineering proof of concepts in the Gen AI space.
What are we looking for?
- BSc or MSc in Computer Science, Artificial Intelligence, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence. MSc related to Generative AI would be a plus.
- Between 0 - 3 years of work experience, internships related to the job content would also be valuable. Exposure to Gen AI in previous projects / internships.
- Good communication and interpersonal skills, with the ability to collaborate effectively and learning with agility.
Knowledge & Skills:
- Programming Language/s certification (Python, and C++ / C# is a plus).
- Knowledge of machine learning, deep learning, generative AI and statistical modelling.
- Finetuning or evaluation work pursued in generative AI and machine learning (LLMs, LVMs) development and deployment.
- Experience leveraging models from repositories such as Hugging Face.
- Experience with deep learning frameworks such as PyTorch.
- Optional: Contributions to the AI community (e.g., publications, patents, open-source projects, or participation in conferences and workshops).
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 -
SoftwareSchedule -
Full timeShift -
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.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"
How we rate this
AI Lab - Junior Machine Learning Engineer at HP rates 87 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Walk me through how you've used Hugging Face in your day-to-day work.
- What are the limits of PyTorch that you've run into, and how did you work around them?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: Fine Tuning, Hugging Face, and PyTorch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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