Deeter Analytics
Entrepreneurial AI Research Engineer
US - Remote (Remote)fulltimemidAdded 1 month ago
About this role
Join a fast-moving team building foundational AI models for financial applications using multimodal datasets. You'll own the full cycle from research and prototyping to production while collaborating closely with researchers in a well-funded environment.
What you'll do
- Design and maintain data pipelines for unique, multimodal datasets
- Train and evaluate large-scale models from concept through production
- Partner with researchers to develop and validate new methods
- Ship prototypes and production systems independently
- Contribute engineering expertise to model development across the stack
What they're looking for
- Deep learning frameworks (PyTorch or JAX)
- Machine learning fundamentals
- Software engineering and systems design
- Data pipeline development
- Model training and evaluation
- Production deployment experience
- Research-to-production translation
- Self-directed problem solving
Benefits
- Competitive base compensation with results-based upside
- Real ownership over roadmap and product direction
- Culture prioritizing deep work and continuous learning
- Collaboration with frontier AI researchers
- Remote work flexibility
- Well-funded organization backing ambitious AI research
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Deeter Analytics
Deeter Analytics builds foundational AI models for financial applications using multimodal datasets. The company is hiring research engineers and machine learning specialists who can drive work from research and prototyping through production deployment.
View all jobs at Deeter AnalyticsLikely interview questions
- Walk us through a time you took a model from research concept to production—what were the biggest engineering challenges and how did you solve them?
- Describe your experience building data pipelines for complex or multimodal datasets. What tools did you use and what bottlenecks did you encounter?