Machine Learning Engineer Intern - Summer 2026

Summary

Novaflow is an AI data analyst for biology labs, aiming to expedite the analysis process for researchers. The Machine Learning Engineer Intern will help build AI systems that convert natural language queries into bioinformatics workflows, working closely with the founders on impactful projects.

Responsibilities

• Help build and improve LLM-powered pipelines that turn natural language into bioinformatics workflows
• Assist with evaluation pipelines and benchmarks to measure model quality
• Experiment with fine-tuning, RAG, prompt engineering, and different model architectures
• Help deploy and scale models in production on AWS or GCP
• Contribute to AI tooling and infrastructure decisions
• Work across the team to integrate ML capabilities into the product

Skills

• Currently pursuing or recently completed a Bachelor's or Master's in Computer Science, Machine Learning, AI, or a related field
• Strong Python skills
• Familiarity with ML frameworks (PyTorch, TensorFlow, or similar)
• Basic understanding of LLMs and modern AI techniques (fine-tuning, RAG, prompt engineering)
• Some experience working with datasets and building data pipelines
• Can think critically about when an LLM output is actually correct
• Hands-on experience building LLM-powered applications
• Familiarity with Anthropic, OpenAI, or other LLM APIs
• Experience with Docker and cloud platforms (AWS or GCP)
• Exposure to scientific or biological data
• Previous startup experience (prior experience either working for or founding a startup)

Qualifications

Must Haves

• Currently pursuing or recently completed a Bachelor's or Master's in Computer Science, Machine Learning, AI, or a related field
• Strong Python skills
• Familiarity with ML frameworks (PyTorch, TensorFlow, or similar)
• Basic understanding of LLMs and modern AI techniques (fine-tuning, RAG, prompt engineering)
• Some experience working with datasets and building data pipelines
• Can think critically about when an LLM output is actually correct

Nice to Haves

• Hands-on experience building LLM-powered applications
• Familiarity with Anthropic, OpenAI, or other LLM APIs
• Experience with Docker and cloud platforms (AWS or GCP)
• Exposure to scientific or biological data
• Previous startup experience (prior experience either working for or founding a startup)

Benefits

• Meals covered when you're in the office (lunch daily, dinner when you're working late)
• Opportunity to convert to a full-time founding team role
• Work directly with the founders with full visibility into product strategy, customer conversations, and fundraising
• Real responsibility from day one at a fast-growing YC company