Build data pipelines and extract data from Higharc datasets.
Design and implement semi-supervised and weakly-supervised VLM and segmentation pipelines.
Develop evaluation suites and error taxonomies for multimodal tasks.
Run ablations and scaling experiments; track results and reproducibility.
Document findings and present results through technical reports and demos.

🎯 Requirements

Active PhD enrollment in CS/ML at a US institution.
Strong Python programming skills and DL workflows (PyTorch).
Solid CV, transformers, representation learning, ML experiments.
Demonstrated research ability via publications or open-source code.
Comfort with RoboFlow/Modal/WandB stacks.
Experience with vision-language models or multimodal models.

🎁 Benefits

Remote-first with flexible hours.
Competitive salary plus equity.
Medical, dental, and vision coverage; unlimited PTO.
401K and disability plans for US employees.
Home office stipend for remote work.

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