
AI Researcher
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
- Train, fine-tune, and evaluate ML models and LLMs for real-world government use cases
- Tackle OCR, document parsing, and classification to streamline services
- Source, adapt, and operationalize models from open-source and vendor ecosystems
- Deploy models into production systems that directly impact millions of lives
- Enhance automation, reduce manual processes, and boost system performance across the platform
- 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
- Experience in OCR, document understanding, parsing, and classification
- Detail-oriented, rigorous, and adaptable mindset
- Passion for Promise’s work and building ethical, transparent AI solutions
- Bonus: Experience in applied AI for fintech, govtech, or other regulated industries
- Must be a US person (US citizen or permanent resident) and reside in the United States
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: in-office at least 3 days a week, flexible on working from home
- Offers Equity
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningstatistical analysisdeep learningLLMsmodel trainingmodel fine-tuningmodel validationOCRdocument parsingclassification
Soft skills
detail-orientedrigorousadaptablepassion for ethical AItransparency