Labelbox is seeking a highly skilled individual to join the Forward Deployed Research Team in San Francisco. This position focuses on producing quality training data for AI models. The candidate should possess an MS or PhD in a quantitative field, with expertise in fine-tuning large language models and a strong grasp of LLM training pipelines. The role includes direct engagement with research teams at major AI labs, impacting client outcomes directly, and involves growth opportunities tied to performance.
Qualifications
MS or PhD in a related quantitative field required.
Experience fine-tuning large language models like Llama or Mistral.
Expertise in LLM training pipelines for optimal data quality.
Responsibilities
Engage in client scoping meetings as a technical peer.
Shape project specifications based on scientific understanding.
Collaborate with Applied Research to publish findings.
Skills
Hands-on experience fine-tuning large language models
Strong understanding of LLM training pipelines
Strong written and verbal communication
Ability to operate at speed
Education
MS or PhD in Machine Learning, NLP, Computer Science, or related field
Job description
Labelbox is seeking a highly skilled individual to join the Forward Deployed Research Team in San Francisco. This position focuses on producing quality training data for AI models. The candidate should possess an MS or PhD in a quantitative field, with expertise in fine-tuning large language models and a strong grasp of LLM training pipelines. The role includes direct engagement with research teams at major AI labs, impacting client outcomes directly, and involves growth opportunities tied to performance.