Website:
agilegridsolution.com
Job details:
About The Company
Turing, headquartered in San Francisco, California, is a leading research accelerator dedicated to advancing frontier artificial intelligence (AI) labs 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 top-tier AI researchers with expertise in coding, reasoning, STEM, multilinguality, multimodality, and autonomous agents. Turing’s mission is to transform AI from experimental proof of concept into proprietary, reliable systems that deliver measurable business impact. By fostering innovation and supporting the development of state-of-the-art AI solutions, Turing plays a pivotal role in shaping the future of artificial intelligence and enterprise digital transformation.
About The Role
We are seeking experienced Data Analysts (MLE Bench) to join our dynamic team and contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on analytical work with production-like datasets, metrics, and machine learning outputs to evaluate, diagnose, and enhance the performance of advanced AI models. The ideal candidate will possess a strong analytical mindset, with the ability to work effectively at the intersection of data analysis and machine learning, ensuring that evaluation workflows are robust, accurate, and insightful.
Qualifications
- Minimum of 3+ years of professional experience as a Data Analyst or analytics-focused engineer.
- Proficiency in Python for data analysis, scripting, and automation.
- Solid experience with SQL and working with relational databases.
- Experience analyzing machine learning outputs, evaluation metrics, and model behaviors.
- Strong understanding of statistical concepts and analytical reasoning.
- Ability to handle large, complex datasets and extract reliable insights.
- Proven ability to write clean, well-documented, and reproducible analytical code.
- Excellent written and spoken communication skills in English.
Responsibilities
- Analyze structured and unstructured datasets generated from machine learning training, inference, and evaluation pipelines to identify patterns, anomalies, and areas for improvement.
- Define, compute, and validate evaluation metrics used to assess model performance and behavioral characteristics.
- Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks to inform model development and evaluation strategies.
- Develop and execute Python and SQL scripts to analyze data, generate reports, and support ongoing evaluation workflows.
- Ensure data quality, consistency, and correctness across various datasets and experimental runs.
- Create comprehensive, well-documented analytical artifacts and workflows that facilitate reproducibility and transparency.
- Collaborate closely with machine learning engineers and researchers to design challenging, real-world evaluation scenarios for benchmarking purposes.
- Participate in regular review sessions to interpret findings, suggest improvements, and contribute to the optimization of evaluation methodologies.
Benefits
- Opportunity to work remotely from anywhere, providing flexibility and work-life balance.
- Engagement with cutting-edge AI projects and collaboration with leading language model companies.
- Exposure to innovative research and development environments in the AI industry.
- Potential for professional growth and skill enhancement through diverse project involvement.
Equal Opportunity
Turing is an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to creating a workplace where everyone feels valued, respected, and empowered to contribute their best. We do not discriminate based on race, ethnicity, gender, age, sexual orientation, disability, or any other protected characteristic. We believe that diverse teams drive innovation and excellence, and we welcome applicants from all backgrounds to apply and join our mission to advance artificial intelligence.
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