Machine Learning Evaluation Benchmarks (MLE Bench) Data Analyst

About The Company

Turing, headquartered in San Francisco, California, is a leading research accelerator dedicated to advancing frontier artificial intelligence (AI) laboratories and serving as a trusted partner for global enterprises deploying sophisticated AI systems. The company specializes in accelerating cutting-edge research by providing high-quality data, advanced training pipelines, and access to top-tier AI researchers with expertise in coding, reasoning, STEM disciplines, multilinguality, multimodality, and intelligent agents. Turing's mission is to transform AI from experimental proof of concept into proprietary, reliable, and impactful systems that deliver measurable results and drive business growth. By fostering innovation and collaboration across the AI ecosystem, Turing enables organizations to harness the full potential of AI technology and stay ahead in a rapidly evolving digital landscape.

About The Role

We are seeking experienced Data Analysts specializing in Machine Learning Evaluation Benchmarks (MLE Bench) to join our dynamic team. In this role, you will play a critical part in benchmark-driven evaluation projects centered on real-world machine learning systems. Your primary responsibility will involve hands-on analysis of datasets, metrics, and machine learning outputs derived from production-like pipelines. You will work closely with ML engineers and researchers to evaluate, diagnose, and enhance the performance of advanced AI models. The ideal candidate will possess a strong analytical mindset, proficiency in data analysis workflows, and familiarity with machine learning evaluation processes. This position offers an exciting opportunity to contribute to state-of-the-art AI systems and influence their development through rigorous data analysis and performance assessment.

Qualifications

• At least 3 years of professional experience as a Data Analyst or an analytics-focused engineer.
• Proficiency in Python, particularly for data analysis and scripting tasks.
• Solid experience with SQL and working with relational datasets.
• Experience analyzing machine learning outputs and evaluation metrics.
• Strong understanding of statistical principles and analytical reasoning.
• Ability to handle large, complex datasets and extract reliable insights.
• Proven ability to write clean, well-documented, and reproducible analytical code.

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• Excellent communication skills in spoken and written English.
  
  

Responsibilities

• Analyze structured and unstructured datasets generated during ML training, inference, and evaluation phases.
• Define, compute, and validate evaluation metrics to assess model performance and behavior.
• Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmarking tasks.
• Develop and execute Python and SQL scripts to analyze data, generate reports, and support evaluation workflows.
• Ensure data quality, consistency, and correctness across multiple datasets and experimental setups.
• Create comprehensive, well-documented analytical artifacts and reproducible workflows.
• Collaborate with ML engineers and researchers to design challenging, real-world evaluation scenarios for the MLE Bench platform.
• Participate in continuous improvement of evaluation methodologies and tools to enhance model assessment accuracy.
  
  

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Benefits

• Opportunity to work remotely from anywhere, offering flexibility and work-life balance.
• Engage in cutting-edge AI projects alongside leading LLM companies and AI researchers.
• Gain exposure to innovative AI evaluation frameworks and methodologies.
• Collaborate with a global team of experts dedicated to advancing AI technology.
• Enhance your professional skills in a fast-paced, innovative environment.
  
  

Equal Opportunity

Turing is committed to fostering an inclusive and diverse workplace. We are an equal opportunity employer and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We believe that diverse perspectives and experiences drive innovation and excellence. We encourage all qualified individuals to apply and join our mission to shape the future of AI.