Part-time Assistant Programmer

Penn State Golf Courses

$57ph; 20 hours/week; 50 weeks
Hybrid
Python 3.x
Modern nlp/ml (pytorch or tensorflow, hugging face, scikit-learn)
Data/etl tooling (pandas, spacy, pydantic, airflow/prefect)
Help us build a focused, sharp system that turns peer-reviewed nutrition literature into transparent, evidence-based recommendations

Job Summary

  • Help us build a focused, sharp system that turns peer-reviewed nutrition literature into transparent, evidence-based recommendations.
  • You’ll implement the Extract, Transform Load (ETL) pipeline from OpenAlex, fine-tune and wire up transformer models for relation extraction, and ship a production-grade recommendation/generative layer backed by a provenance-rich knowledge graph.
  • Fully remote (U.S.); office space available at Penn State for hybrid/in-person if preferred.

Matching Summary

Help us build a focused, sharp system that turns peer-reviewed nutrition literature into transparent, evidence-based recommendations.

Salary

$57/hour; 20 hours/week; 50 weeks

Skills & Requirements

Must-have

  • Python 3.x
  • modern NLP/ML (PyTorch or TensorFlow, Hugging Face, scikit-learn)
  • data/ETL tooling (pandas, spaCy, Pydantic, Airflow/Prefect)
  • APIs/services (RESTful design, auth, pagination, retries, structured logging, unit/integration tests, CI)
  • Postgres + vector/embedding store
  • DevOps basics (containers, reproducible envs, simple local deploys, secrets management)

Nice-to-have

  • Deep NLP experience
  • Semantic KGs (RDF/OWL, Neo4j)
  • biomedical text corpora experience
  • shipped research-to-prod systems

Key Requirements

  • 3+ years professional Python and ML/NLP engineering, or equivalent portfolio
  • Strong engineering hygiene (tests, docs, code review)
  • Clear, direct communication in a remote team

Work Rights

Not specified

Tailored Resume

Cover Letter