Senior Data Analysis & Evaluation for LLM Robustness
Deepstreamtech
Greater London
On-site
GBP 50,000 - 70,000
Full time
14 days+
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Job summary
Deepstreamtech is seeking a Member of Technical Staff in Data Analysis and Evaluation to ensure the quality and performance of large language models (LLMs). This role requires expertise in designing data collection tasks, assessing dataset quality, and working collaboratively with engineers and researchers. Ideal candidates should possess strong software engineering skills and hands-on experience with LLM training. The position offers an opportunity to contribute to advancing AI through robust and scalable systems.
Qualifications
Extremely strong software engineering skills.
Strong expertise in designing and conducting data collection tasks.
Strong statistical skills and experience evaluating scientific experiments.
Experience analysing datasets for quality and suitability for ML models.
Hands-on experience training large language models on distributed infrastructures.
Responsibilities
Ensure quality, reliability, and performance of large language models.
Design and conduct data collection tasks.
Assess and evaluate dataset quality.
Work closely with cross-functional teams.
Train and fine-tune large language models on distributed infrastructures.
Skills
Software engineering skills
Data collection task design
Statistical skills
Dataset analysis
Training large language models
Programming in Python
ML frameworks (e.g., PyTorch, TensorFlow, JAX)
Communication skills
Job description
Deepstreamtech is seeking a Member of Technical Staff in Data Analysis and Evaluation to ensure the quality and performance of large language models (LLMs). This role requires expertise in designing data collection tasks, assessing dataset quality, and working collaboratively with engineers and researchers. Ideal candidates should possess strong software engineering skills and hands-on experience with LLM training. The position offers an opportunity to contribute to advancing AI through robust and scalable systems.