# AI/ML Engineering Intern at talentpluto

- Company: [talentpluto](https://talentpluto.com/)
- Location: United States
- Type: Internship · Internship
- Posted: 2026-09-15
- Apply: https://apply.workable.com/talentpluto/j/A0CFDD6FBD/
- Page: https://newgrad.ai/jobs/ai-ml-engineering-intern-0a492428

## Summary by newgrad.ai

What you'll do:

- Develop and refine language model pipelines for candidate extraction, evaluation, and sorting using production data.
- Create metrics and tests to validate whether improvements actually boost output quality.
- Convert unstructured professional information into organized, usable data at scale.
- Optimize search and ranking algorithms to prioritize the most suitable candidates.

What they're looking for:

- Proficiency in Python, TypeScript, JavaScript, or equivalent programming language.
- Passion for practical AI applications, neural networks, large language models, or information retrieval.
- Portfolio demonstrating prior work on machine learning, analytics, or experimental projects.
- Ability to assess data quality issues and handle imperfect information sources.
- Self-directed problem solver comfortable operating independently in a distributed team.

Pay and perks:

- $35–$50 per hour.

## Posting

Location: Remote (United States)

Work Model: Remote

Industry: AI recruiting and talent marketplace (B2B SaaS)

Compensation: $35–$50 per hour

### About the Company

TalentPluto is a Y Combinator-backed startup building the hiring stack for high-growth companies. We run two connected products: a talent network that places engineering, go-to-market, and operations people into fast-moving startups, and an AI recruiting tool that lets a hiring team run candidate search, tiered enrichment, rubric-based scoring, and outbound campaigns directly from their assistant. We work with dozens of venture-backed startups across AI, developer tools, fintech, and healthcare. The team is small and founder-led, and interns work on live problems rather than practice ones.

### The Opportunity

This is an applied AI internship inside a product where the model output is the product. We use LLMs to read unstructured professional histories, extract structure from them, score candidates against a role, and rank what a recruiter sees first. Every one of those steps can be confidently wrong, so the interesting work is as much about evaluating quality as it is about building the pipeline.

You will work on real LLM workflows against messy data at volume: designing prompts and extraction logic, building the evaluations that tell you whether a change actually helped, and improving ranking and retrieval where the current answer is not good enough. This is applied rather than research work, and you will be able to see the effect of what you build on what real users get.

### Responsibilities

- Build and improve LLM workflows for extraction, scoring, and ranking against real product data.

- Design evaluations that measure output quality, and use them to judge whether a change is an improvement.

- Work with messy, high-volume unstructured data and turn it into reliable structure.

- Improve retrieval and ranking so the most relevant results surface first.

- Investigate incorrect or low-quality output and trace it back to its cause.

### Requirements

- Strong programming fundamentals in Python, TypeScript, JavaScript, or a similar language.

- Interest in applied AI, machine learning, LLMs, ranking, retrieval, or data systems.

- Comfort working with messy data and evaluating output quality.

- Has built AI/ML, data, class, research, or side projects.

- Strong problem-solving ability and a willingness to learn quickly.

- Clear communicator who can work independently in a remote environment.

From talentpluto's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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More new-grad and intern roles: https://newgrad.ai/llms.txt