Senior ML/AI Researcher
Promise
PyTorch
Senior ML/AI Researcher
Promise
full-time
Posted on:
Origin: • 🇺🇸 United States • Washington
Visit company websiteSalary
💰 $150,000 - $215,000 per year
Job Level
Senior
Tech Stack
PyTorch
About the role
- Drive the exploration and development of AI and machine learning models to streamline how individuals facing financial difficulty receive and interact with public services.
- Experiment with, train, fine-tune, and prompt AI systems ranging from traditional ML models to LLMs to power internal and external applications.
- Work across areas including OCR, document understanding, document classification, and building generalist models.
- Source models and solutions from leading AI vendors, open-source models, and fine-tuned solutions and apply them to real-world use cases impacting millions.
- Improve performance, efficiency, and automation across the platform, shaping the future of government services and delivering social impact.
Requirements
- 5+ years of relevant statistical analysis experience.
- 5+ years of professional machine learning experience (e.g., modeling, hyperparameter tuning, feature engineering, model validation).
- 1+ years of experience with deep learning and LLMs (hands-on projects, fine-tuning, or applied usage).
- Formal experience training and evaluating models for classification/regression tasks (ROC AUC, Precision, Recall, F1 score).
- Exposure to key tools and frameworks such as PyTorch, MLFlow, LightGBM, or related.
- A rigorous, detail-oriented approach to problem solving.
- Willingness to learn, change, and grow in a high-impact, dynamic environment.
- Passionate drive for Promise’s mission and relentless pursuit of customer success.
- High moral and ethical standards, seeking open and honest communication, and rejecting manipulation, dishonesty, and intolerance.
- Must be a US person (US citizen or permanent resident) and reside in the United States due to US government contract requirements.
- Must be available to work in person at the Promise office location at least three times per week.
- Candidates should not require employment visa sponsorship (will or in the future require sponsorship answered on application).
