(PHD) Applied Machine Learning Engineer
NationGraphabout 2 months ago
San Francisco, CA, USAEntry Level / Mid Level / Senior
Base Salary
$170k - $200k/yr
Responsibilities
- Build and productionize end-to-end ML pipelines.
- Mine data from the web through large-scale crawling and scraping.
- Transform unstructured text data into structured knowledge using NLP.
- Build and improve text classification models.
- Optimize retrieval-augmented generation systems.
- Drive data strategy by identifying new data sources.
- Solve open-ended technical problems with the team.
Requirements
- A quantitative background in computer science, physics, math, or engineering.
- A strong mathematical and statistical foundation.
- A doctorate degree in a quantitative field.
- Proficiency in Python.
- A strong sense of ownership and ability to work on open-ended technical problems.
- Excellent problem-solving, communication, and collaboration skills.
Benefits
- Competitive salary + early-stage equity.
- Unlimited PTO.
- High-quality health insurance, dental & vision coverage.
- Company provided lunches (Mon - Thur).