Data Scientist (AI) developing machine learning and AI solutions for government services at Promise. Focus on enhancing efficiency and accessibility for public support using advanced AI techniques.
Responsibilities
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
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