Principal Data Scientist – Product
Gusto
PythonSQL
Data Scientist – AI
Promise
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • 🇺🇸 United States
Visit company websiteSalary
💰 $150,000 - $215,000 per year
Job Level
Mid-LevelSenior
Tech Stack
PyTorch
About the role
- Experiment & build: Train, fine-tune, and evaluate ML models and LLMs for real-world government use cases.
- Apply AI in the field: Tackle challenges like OCR, document parsing, and classification to streamline services.
- Bridge research and impact: Source, adapt, and operationalize models from both open-source and vendor ecosystems.
- Improve efficiency: Enhance automation, reduce manual processes, and boost system performance across the platform.
- Shape the future: Push forward scalable, ethical AI solutions that redefine how people access public support.
Requirements
- 5+ years in machine learning and statistical analysis; 1+ year working directly with deep learning or LLMs.
- Hands-on experience with model training, fine-tuning, and validation for classification/regression tasks (ROC AUC, Precision, Recall, F1).
- Proficiency with frameworks like PyTorch, MLFlow, LightGBM, or similar.
- Detail-oriented, rigorous, and adaptable—comfortable navigating a high-impact, evolving environment.
- Passion for Promise’s work and a commitment to building ethical, transparent AI solutions.
- Experience in applied AI for fintech, govtech, or other regulated industries (Bonus).
Benefits
- 100% paid health coverage
- Generous PTO and sick leave
- Lunch, snacks, and coffee provided
- Company retreats
- Opportunities to travel and see the impact of your work
- Hybrid work: we deeply value in-person collaboration and are in-office at least 3 days a week, but are flexible on working from home
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningstatistical analysisdeep learningLLMsmodel trainingfine-tuningvalidationclassificationregressionperformance metrics
Soft skills
detail-orientedrigorousadaptablecomfortable in evolving environmentscommitment to ethical AI
