Machine Learning Development Intern

Porto Alegre, Rio Grande do Sul, Brazil

Actively hiring, first seen by us 5 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Part-time — employment source
Schedule - Part time Shift -
Employment type in the employer’s posting: Part time
From the employer’s posting

What you’ll work on

Full posting

Assist in fine-tuning models and optimizing prompt inputs
Help build and deploy AI-based chatbots and applications
Participate in technical meetings and brainstorming sessions
Research GenAI trends and experiment with new techniques
Document the development process and model deployment practices

From the employer’s posting

Assist the ML team in fine-tuning models, optimizing prompt inputs, and improving output quality for AI-driven applications

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

What you’ll bring

All qualifications

Core experience

Knowledge of machine learning algorithms, deep learning, natural language processing (NLP), and AI model architectures;

Qualification wording

Knowledge of machine learning algorithms, deep learning, natural language processing (NLP), and AI model architectures;

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Posting record

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Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 30, 20265 days ago
Recorded sightings: 6
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 5

Early. Similar jobs usually come down between day 6 and day 69.

From 4,296 similar postings that came down. Coming down is not always a hire.

HP is hiring

45 open jobs

Open jobs by the week we first saw them, last 12 weeks.

ML Engineer hiring is picking up
Takes jobs down at a usual pace
2% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
PyTorch
TensorFlow

Where the posting names them

- 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;

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Your next step

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Has HP posted this job before?

Yes. We’ve followed one other Machine Learning Development Intern job there since October 2026. It is still up.

Porto AlegreStill up after 16 days, first seen Oct 19
This jobUp 5 days so far, first seen Oct 30

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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 -

Part 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"

Source details

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