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Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Conducting literature reviews to identify ways in which active learning can be integrated into our current model.
- Investigating innovative approaches to improving labeling for training and evaluation datasets.
- Implementing an active learning pipeline for our existing model and analyzing the performance
- Investigating other approaches to improving label quality (e.g. LLM labeling agents).
Requirements
What you’ll need- Full-time Doctorate students enrolled at a nationally-accredited university in the United States graduating between December 2026 - June 2027
- Studying computer science, computer engineering, data science, or an equivalent technical field
- Knowledge of cutting edge GenAI techniques in the image domain
- Ability to read and summarize papers from the literature
- Solid Python coding skills
- Familiarity with at least one DNN framework (PyTorch or Tensorflow)
- Demonstrated interest in high growth, technology, and/or hospitality companies
- Work authorization for employment in the United States is required (CPT/OPT with 2-year STEM extension is accepted).
Benefits
Comp & perks- Employee Travel Credits
- Benefits eligibility for employees
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
PythonDNN frameworkPyTorchTensorFlowactive learninglabeling techniquesliterature reviewGenAI techniquesdata evaluationmodel performance analysis
Soft Skills
ability to summarizeanalytical thinkingproblem-solvingresearch skillscommunication skills
Certifications
Doctorate in computer scienceDoctorate in computer engineeringDoctorate in data science