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Labelbox is seeking a Forward Deployed Research Scientist to join their innovative team in the San Francisco Bay Area. The role focuses on applying machine learning expertise to client engagements, emphasizing rapid problem-solving and collaboration with AI research teams.
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Job Summary
This role sits at the intersection of research science and client delivery, embedding research capability directly into engagements that drive business outcomes.
You will operate on timescales of days to weeks, engaging with frontier lab teams to reason about data strategy and fine-tune models to validate methodologies.
The team is small and high-leverage, offering a structural commitment where 25–30% of capacity is allocated to publishing joint research with the Applied Research team.
Matching Summary
Match Score: 75
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Labelbox is seeking a Forward Deployed Research Scientist to join their innovative team in the San Francisco Bay Area. The role focuses on applying machine learning expertise to client engagements, emphasizing rapid problem-solving and collaboration with AI research teams.
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Skills & Requirements
Must-have
Fine-tuning open-weight LLMs
LLM training pipeline expertise
Rapid experimental execution
Ablation study design
Client-facing technical consulting
Nice-to-have
Frontier AI lab experience
Published ML/NLP research
RLHF and reward modeling
Human data pipeline familiarity
Cross-functional collaboration
Key Requirements
MS or PhD in Machine Learning or related field
Hands-on experience with Llama, Mistral, or Qwen models
Strong background in statistical analysis and hypothesis formation