# Machine Learning Intern

**Company**: EarnIn
**Location**: Mountain View, US
**Work arrangement**: hybrid
**Experience**: entry
**Job type**: internship
**Salary**: $40 per hour
**Category**: Engineering
**Industry**: Finance

**Apply**: https://job-boards.greenhouse.io/earnin/jobs/7770051?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7be2f955-b0a

## Description

As a Fintech company where Machine Learning (ML) is a key driver of growth, our operations highly rely on machine learning models, from business decisions to customer experiences. We seek talented and motivated students and recent graduates with a strong background in machine learning, deep learning, language models, and generative AI, programming, and data analysis to join our 12-week Machine Learning Internship Program.

You will work on real-world projects, collaborate with experienced professionals, gain valuable experience in the fintech industry, and realise business and social impact. This role requires hybrid work from our Mountain View office, with 2 days a week in person. This internship will pay $40 per hour, with an expected 40 hours per week for the 12-week program.

Responsibilities:

- Train and fine-tune large-scale Foundation Models to support various fintech product use cases

- Work with a large dataset, including structured and unstructured data

- Help in ensuring improvements in our current ML systems via model, data, or experimentation upgrades

- Gain hands-on experience with a wide array of technologies, including PyTorch, AWS, Kafka, Databricks, etc

Requirements:

- Actively pursuing a Master's or PhD in Computer Science, Information Technology, or a related field

- Located in Mountain View, or have the ability to relocate there, for the duration of the internship

- Strong understanding of statistical models, familiarity, and in-depth understanding of machine learning and deep learning algorithms. Familiarity with training or fine-tuning large-scale models, Sequence Transformer models

- Interest in multimodal or multitask learning across structured, sequential, and behavioural data

- Familiarity with AI tools, harness engineering, agentic workflow, etc.

- Hands-on programming experience in Python and ML frameworks such as PyTorch

- Equipped with good verbal and written communication skills

- A background demonstrating strong problem-solving skills

- Committed to taking ownership of projects, conducting thorough investigations, and driving initiatives to conclusion

## Skills

### Required
- machine learning
- deep learning
- language models
- generative AI
- programming
- data analysis
- PyTorch
- AWS
- Kafka
- Databricks

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/earnin/jobs/7770051?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)