A leading AI research organization in San Francisco seeks a pre-training researcher to blend research with data engineering. The ideal candidate will design and implement methods for sourcing and curating data, develop metrics for data quality, and collaborate across teams to enhance AI model performance. Candidates should have a bachelor's degree in a relevant field and proficiency in Python, with familiarity in deep learning frameworks being a plus. Competitive compensation and comprehensive benefits are offered.
Qualifications
Experience with debugging distributed training.
Strong theoretical and empirical grounding in ML.
Ability to explain complex technical concepts.
Responsibilities
Design and implement techniques for curating large-scale data.
Develop metrics to measure data quality.
Collaborate with teams to scale data processing systems.
Skills
Proficiency in Python
Familiarity with deep learning frameworks like PyTorch
Clarity in communication
Education
Bachelor’s degree in Computer Science or related disciplines
Job description
A leading AI research organization in San Francisco seeks a pre-training researcher to blend research with data engineering. The ideal candidate will design and implement methods for sourcing and curating data, develop metrics for data quality, and collaborate across teams to enhance AI model performance. Candidates should have a bachelor's degree in a relevant field and proficiency in Python, with familiarity in deep learning frameworks being a plus. Competitive compensation and comprehensive benefits are offered.