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Staff Research Scientist
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Job Description
- Req#: 5561797004
Employer Industry: Artificial Intelligence and Data Services
Why consider this job opportunity:
- Competitive compensation range of $175,000 - $250,000 plus equity opportunities
- Opportunity for career advancement and growth within a pioneering Data as a Service business
- Work at the intersection of research and production, contributing to real-world AI systems
- Comprehensive medical, dental, and vision plans for employees and their families, plus a yearly wellness stipend
- Supportive work environment that values diversity and personal growth
- Parental leave program allowing up to 20 weeks of paid time off
What to Expect (Job Responsibilities):
- Conduct research on data curation and generation to support emerging use cases across various domains
- Collaborate with customer research teams to translate high-level goals into data requirements and workflows
- Design and prototype data generation and curation pipelines for Data as a Service offerings
- Build sophisticated evaluators to measure data quality, including coverage, bias, and utility
- Write clear, maintainable Python code to support experiments and production pipelines
What is Required (Qualifications):
- PhD in Computer Science or a related field with a focus on data-centric AI and synthetic data generation
- Strong foundation in large language models, generative AI, or data generation techniques
- Experience developing and deploying AI models and data pipelines at scale
- Solid programming skills in Python; familiarity with ML frameworks such as PyTorch and HuggingFace
- Track record of working in fast-paced, iterative environments and handling uncertainty in project requirements
How to Stand Out (Preferred Qualifications):
- Past experience in data labeling, annotation, or curation projects
- Publications or contributions related to data curation for LLM fine-tuning
- Knowledge of production workflows for Data as a Service offerings
- Familiarity with quality control processes for high-volume data pipelines
#ArtificialIntelligence #DataServices #CareerOpportunity #CompetitiveCompensation #DiversityAndInclusion
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