Level

HP

Machine Learning Development Intern

HP is hiring a Machine Learning Development Intern. Level rates it ; you can apply on Level.

Level's read on this job

  • Level rates this role Builds AI ●●●●: the job is building AI systems.
  • The posting mentions PyTorch, TensorFlow and prompt engineering among its tools and skills.
  • Level classes it as an internship.
  • HP has 840 other open roles on Level.
  • This posting went up in the last few days.

AI in this role

pytorchtensorflow
prompt-engineeringfine-tuningnlpai-research
Machine Learning Development Intern

Description -

Description:

The main objective of this internship program is to train and develop students to contribute to cutting-edge projects in Machine Learning (ML), and Generative AI (GenAI). Interns will take responsibility for key aspects of ongoing projects, gaining hands-on experience in ML model development and deployment. They will be involved in training, collaborative work, and practical tasks aimed at enhancing their skills in a corporate environment focused on innovation in AI.


Role:

  • Support the development of ML models, with a focus on Generative AI and Prompt Engineering;
  • Assist the ML team in fine-tuning models, optimizing prompt inputs, and improving output quality for AI-driven applications;
  • Collaborate with engineers and data scientists to understand project requirements and provide solutions for building and deploying AI-based chatbots and applications;
  • Participate in technical meetings and brainstorming sessions to improve model performance;
  • Research the latest trends and breakthroughs in GenAI and contribute to experimentation with new techniques;
  • Help document the development process, maintaining quality standards and best practices in model iteration and deployment.

Qualifications:

  • Students in Computer Science / Data Science / Machine Learning / Artificial Intelligence / Engineering or related fields from the 2nd semester onwards;
  • Knowledge of machine learning algorithms, deep learning, natural language processing (NLP), and AI model architectures;
  • Strong interest in Generative AI, chatbot development, and prompt engineering;
  • Basic experience with Python, TensorFlow, PyTorch, or other ML frameworks;
  • Curiosity about cloud computing, large language models (LLMs), and AI-driven solutions;
  • Strong analytical and problem-solving skills with a passion for AI research and development;
  • Intermediate proficiency in English is required.


#LI-POST

Job -

Administration

Schedule -

Full time

Shift -

No shift premium (Brazil)

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

Machine Learning Development Intern at HP rates 98 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.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringFine-tuningNLPAI ResearchPyTorchTensorFlow

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  3. What NLP problem have you worked on, and how did you measure whether it actually worked?
  4. Tell me about a research question you investigated. What did you find?
  5. Walk me through how you've used PyTorch in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Prompt engineering, Fine-tuning, NLP, AI Research, 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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