Research Scientist

DatologyAI•Redwood City, CA

2d•Onsite

About The Position

We are looking for a Research Scientist to investigate how intervening on training data can improve the quality and shape the behavior of deep learning models. This role involves sourcing and implementing ideas from literature, conducting research based on real customer needs, and collaborating with engineers and product teams to translate findings into tangible impact. The position requires strong scientific judgment, familiarity with deep learning literature, and the ability to work autonomously in a fast-moving startup environment. The research is guided by concrete customer needs and product outcomes, not just conference benchmarks, ensuring clear context on the impact of the work.

Requirements

3+ years of deep learning research experience
Strong fundamentals in deep learning
Practical experience and/or publications in one or more of the following areas: Data pruning and curation, 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
Adaptability
Exceptional communication and collaboration skills

Nice To Haves

Experience with distributed data processing tools like Spark or Snowflake
Experience building and shipping ML products

Responsibilities

Investigate how intervening on training data can improve the quality and shape the behavior of deep learning models
Source, vet, implement, and improve promising ideas from the literature and your own thinking
Conduct research grounded in real customer needs and product outcomes
Collaborate closely with engineers and product teams to turn findings into tangible impact
Pursue problems with autonomy, utilizing provided resources and context
Talk to customers and shape the product vision