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Job details:
About The Company
Turing, headquartered in San Francisco, California, is recognized as the world’s leading research accelerator dedicated to frontier artificial intelligence laboratories. As a trusted partner for global enterprises, Turing specializes in deploying advanced AI systems that drive innovation and competitive advantage. The company’s core mission is to accelerate research at the forefront of AI by providing high-quality data, sophisticated training pipelines, and access to top-tier AI researchers with expertise in coding, reasoning, STEM disciplines, multilinguality, multimodality, and intelligent agents. In addition to supporting cutting-edge research, Turing leverages this expertise to help enterprises transform AI prototypes into proprietary, reliable systems that deliver measurable impact, enhance operational efficiency, and generate sustained financial results. Its commitment to excellence and innovation makes Turing a leader in the AI research and deployment landscape, fostering collaboration between academia and industry to shape the future of artificial intelligence.
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 pivotal part in benchmark-driven evaluation projects that scrutinize real-world machine learning systems. Your primary responsibility will be to perform hands-on analytical work involving production-like datasets, metrics, and ML outputs, with the goal of assessing, diagnosing, and enhancing the performance of advanced AI models. This position offers an exciting opportunity to work at the intersection of data analysis and machine learning, contributing to the development of robust evaluation frameworks that ensure AI systems operate reliably and efficiently in practical scenarios.
The ideal candidate will possess strong analytical skills, a deep understanding of machine learning evaluation methodologies, and experience working with complex datasets and workflows. Your insights will directly influence the refinement of AI models, helping to identify failure modes, edge cases, and areas for improvement. Collaborating closely with ML engineers and researchers, you will help design challenging evaluation scenarios that mirror real-world applications, thereby ensuring the deployment of high-performing AI systems that meet industry standards and client expectations.
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.
- Strong experience with SQL and relational databases for data querying and management.
- Hands-on experience analyzing machine learning outputs and evaluation metrics.
- Solid understanding of statistical concepts and analytical reasoning techniques.
- Ability to work effectively with large, complex datasets, extracting reliable insights.
- Proven track record of writing clean, well-documented, and reproducible analytical code.
- Excellent communication skills in spoken and written English, with the ability to clearly articulate findings and insights.
Responsibilities
- Analyze structured and unstructured datasets generated from machine learning training, inference, and evaluation pipelines to assess model performance.
- Define, compute, and validate evaluation metrics that accurately reflect model behavior and effectiveness.
- Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks to identify areas for improvement.
- Develop and run Python and SQL scripts to analyze data, generate reports, and support evaluation workflows.
- Ensure data quality, consistency, and correctness across datasets and experimental results through validation procedures.
- Create comprehensive, well-documented analytical artifacts and workflows to facilitate reproducibility and knowledge sharing.
- Collaborate with ML engineers and researchers to design and implement challenging, real-world evaluation scenarios that test model robustness and reliability.
Benefits
Working with Turing offers the flexibility of a fully remote environment, allowing you to contribute from anywhere in the world. You will have the opportunity to work on cutting-edge AI projects alongside leading LLM companies, gaining exposure to the latest advancements in artificial intelligence. Turing values talent and innovation, providing a platform for professional growth and development within a forward-thinking organization. Additionally, you will be part of a global community of experts dedicated to pushing the boundaries of AI research and deployment, with opportunities to expand your skills and network in a dynamic and supportive environment.
Equal Opportunity
Turing is committed to fostering an inclusive and diverse workplace. We provide equal employment opportunities to all individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law. We believe that a diverse team enhances innovation and creativity, and we are dedicated to creating an environment where every employee feels valued, respected, and empowered to contribute to our shared success.
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