AI Lab - Junior Machine Learning Engineer

Posted 3 Days Ago
Be an Early Applicant
Hiring Remotely in CT, ESP
Remote
Junior
Information Technology
The Role
Develop and fine-tune generative AI and machine learning models, evaluate model performance, build model-lifecycle tooling, and create proof-of-concept prototypes for HP products. Collaborate with scientists, developers, product managers, and business partners to operationalize GenAI technologies while applying quality, safety, and engineering best practices.
Summary Generated by Built In
AI Lab - Junior Machine Learning Engineer

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 -

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.

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"

Skills Required

  • BSc or MSc in Computer Science, Artificial Intelligence, Mathematics, Data Science, a related discipline, or commensurate work experience
  • 0–3 years of relevant work experience, including relevant internships
  • Exposure to Generative AI through previous projects or internships
  • Strong communication and interpersonal skills
  • Ability to collaborate effectively and learn with agility
  • Programming experience or certification in Python
  • Knowledge of machine learning, deep learning, Generative AI, and statistical modeling
  • Experience with Generative AI and machine learning model fine-tuning, evaluation, development, and deployment
  • Experience leveraging models from repositories such as Hugging Face
  • Experience with deep learning frameworks such as PyTorch
  • Experience with C++ or C#
  • MSc related to Generative AI
  • Contributions to the AI community through publications, patents, open-source projects, conferences, or workshops
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The Company
HQ: Palo Alto, CA
174,794 Employees

What We Do

Engineering experiences that amaze. We create technology with a purpose: to make life better for everyone, everywhere. Keep Reinventing.

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