Research Scientist

DatologyAI

. Investigate how intervening on training data can improve deep learning model quality and shape model behavior .

Posted 10/16/2026full-timeSan Mateo • California • United StatesMid-LevelSenior💰 $180,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deep learning research, focusing on improving model quality through innovative data strategies and collaboration with cross-functional teams. Capable of conducting customer-driven research and implementing findings into impactful ML products.

Highest-signal resume keywords

Deep Learning Research ExperienceData Pruning and CurationPyTorch ExperienceLarge-Scale ExperimentationDistributed Data Processing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deep Learning FundamentalsCurriculum LearningSynthetic Data GenerationDataset DistillationEmbedding ModelsSemantic SearchTraining Large ModelsEfficient ML

Soft Skills

CollaborationCustomer Engagement

Tools & Technologies

PyTorchSparkSnowflake

Industry Keywords

Machine Learning ProductsResearch LiteratureModel BehaviorProduction Prototypes

Tech Stack

Tools & technologies

PyTorchSpark

About the role

Key responsibilities & impact

Investigate how intervening on training data can improve deep learning model quality and shape model behavior
Source, vet, implement, and improve promising ideas from research literature and independent thinking
Conduct research grounded in concrete customer needs and product outcomes
Collaborate closely with engineers and product teams to turn research findings into tangible impact
Talk to customers and help shape product vision
Run large-scale experiments and build production prototypes

Requirements

What you’ll need

3+ years of deep learning research experience
Strong fundamentals in deep learning
Practical experience and/or publications in 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/video, language, or multimodal models, or efficient ML
Sufficient software engineering and PyTorch experience, or willingness to learn, to run large-scale experiments and build production prototypes
Demonstrated track record in deep learning research through papers, tools, or other artifacts
Experience with distributed data processing tools such as Spark or Snowflake is nice to have
Experience building and shipping ML products is nice to have
Must be able to work in the United States; application asks about sponsorship for employment visa status in the United States
PhD and extensive publications are not required

Benefits

Comp & perks

Meaningful equity
Competitive salary
Autonomy in pursuing research problems
Resources and context to support research
Opportunity to collaborate with engineers, customers, and product teams
Opportunity to shape product vision