AI Engineer

Senseye, Inc. is developing a mental health diagnostics platform that measures cognitive activity through the eye using mobile devices. The AI Engineer will build and evaluate machine learning models for the diagnostic platform, curate large datasets, and support models as they move toward production.

Responsibilities:

• Train and evaluate modern deep learning models on large datasets, including self-supervised approaches and fine-tuning of large pretrained models
• Build and maintain the data pipelines that feed them: collecting, cleaning, deduplicating, and versioning large video datasets
• Develop ways to learn from noisy or limited labels, and measure how much real signal the models carry
• Run experiments carefully: track runs, make results reproducible, and write up what you found, including negative results
• Design evaluations that reflect real-world use, and show clearly where offline metrics and product performance diverge
• Support our existing computer vision work as models move toward production
• Write clean, tested, well-documented Python that teammates can pick up and reuse
• Take part in code review and technical discussions, and explain your results to both technical and non-technical colleagues
• Stay on top of current AI research. Reproduce promising methods, propose experiments, and teach the team what you learn
• Pitch in on whatever the team needs. We're small, and everyone does a bit of everything