Research Scientist
Hybrid (San Mateo HQ), Hybrid (Zurich)$180k - $300kFull-timePosted 6mo ago
About the role
Research Scientist to investigate how intervening on training data can improve the quality and shape the behavior of deep learning models, sourcing and implementing ideas from the literature and collaborating with engineers and product teams to turn findings into tangible impact.
Responsibilities
- Source, vet, implement, and improve promising ideas from the literature and your own thinking.
- Conduct research grounded in real customer needs and product outcomes, with clear context on why the work matters and who it serves.
Qualifications
- 3+ years of deep learning research experience
- Strong fundamentals in deep learning
- Practical experience and/or publications in data pruning and curate, curriculum learning, synthetic data generation, dataset distillation, effects of training data on model behavior, embedding models and semantic search, training large vision (including video), language, or multimodal models, efficient ML
- Enough software engineering and PyTorch experience (or willingness to learn) to run large-scale experiments and build production prototypes
- A demonstrated track record in deep learning research, whether through papers, tools, or other artifacts
Skills
Required:Deep learningData pruning and curationPyTorch
Nice to have:Curriculum learningSynthetic data generationDataset distillationEmbedding models and semantic searchTraining large models (vision/video/language/m multimodal)Efficient ML
Last updated Oct 22, 2026. Interested? Apply on the company site.
About DatologyAI
Train Better Models, Faster and Smaller
DatologyAI automatically curates model training data. Train faster, achieve better performance, and reduce costs with enterprise-grade data curation.
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