Founding ML Engineer - Build Bio AI Pipelines & Impact

Novaflow (YC S25); San Francisco (CA); On-site; USD 150,000 - 260,000; Full time

Benefits offered by this job

Competitive salary and equity

401(k) with company match

Unlimited PTO

Monthly health and wellness stipend

Meals covered in-office

Team offsites and company events

Job summary

A pioneering AI technology firm in San Francisco is seeking a Founding Machine Learning Engineer to develop LLM-powered systems for bioinformatics solutions. You will take charge of building pipelines that convert natural language queries into actionable workflows. Strong Python skills and experience with LLMs are essential, along with at least 2 years of ML model deployment experience. This role offers a competitive salary, equity, and an opportunity to work closely with the founding team in a dynamic startup environment.

Qualifications

• Minimum 2 years of experience in building and deploying ML models.
• Strong background with LLMs including fine-tuning and prompt engineering.
• Familiarity with cloud services for model training and deployment.

Responsibilities

• Build and improve LLM-powered pipelines for bioinformatics workflows.
• Design evaluation pipelines and benchmarks for model quality.
• Experiment with different model architectures and monitor performance.

Skills

Python skills

Experience with LLMs

Building data pipelines

Experience with PyTorch or TensorFlow

Docker and CI/CD experience

Education

Bachelor's or Master's in Computer Science, Machine Learning, or related field

Tools

AWS

GCP

Docker

Job description

A pioneering AI technology firm in San Francisco is seeking a Founding Machine Learning Engineer to develop LLM-powered systems for bioinformatics solutions. You will take charge of building pipelines that convert natural language queries into actionable workflows. Strong Python skills and experience with LLMs are essential, along with at least 2 years of ML model deployment experience. This role offers a competitive salary, equity, and an opportunity to work closely with the founding team in a dynamic startup environment.