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Graduate Research Co-op – AI & Representation Learning
AncestryGraduate Research Co-op for AI & Representation Learning applying computational approaches at Ancestry. Support the development of models and collaborate with senior researchers on genomic data analysis.
Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Support the development of representation learning models to integrate massive-scale hierarchical data with diverse record sets.
- Evaluate and benchmark diverse machine learning models to resolve data conflicts and improve the accuracy of relationship discovery at scale.
- Assist in building scalable ML prototypes that analyze billions of data points to provide automated insights and personalization.
- Develop efficient data pipelines to process and vectorize massive-scale datasets for downstream research and modeling tasks.
- Collaborate closely with senior researchers to document findings and prepare technical reports on model performance and scalability.
Requirements
What you’ll need- Currently enrolled in a Graduate program (Ph.D. preferred, or MS) in Computer Science, Data Science, or a related quantitative field.
- Solid understanding of Representation Learning, Embedding models, or Large-scale Data Modeling.
- Proficient in Python and modern ML frameworks such as PyTorch or TensorFlow; familiarity with Vector Databases or Large Language Models (LLMs) is a plus.
- Strong analytical skills with the ability to extract meaningful insights from massive-scale, complex datasets.
- A collaborative spirit and a desire to see research translated into real-world applications.
Benefits
Comp & perks- Flexible work arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Representation LearningEmbedding ModelsLarge-scale Data ModelingPython ProgrammingData AnalysisMachine Learning PrototypingData ProcessingVectorizationModel EvaluationBenchmarking
Soft Skills
Analytical SkillsCollaborationDesire for Real-world Applications