Website:
agilegridsolution.com
Job details:
About The Company
Turing is a renowned research accelerator based in San Francisco, California, dedicated to advancing frontier AI research and supporting global enterprises in deploying sophisticated AI systems. As a trusted partner for leading organizations worldwide, Turing accelerates AI innovation by providing high-quality data, cutting-edge training pipelines, and expert AI researchers specializing in coding, reasoning, STEM, multilinguality, multimodality, and autonomous agents. The company's mission is to transform AI from proof of concept into proprietary intelligence that delivers reliable performance, measurable impact, and sustained results on the bottom line. Through its innovative approach and commitment to excellence, Turing stands at the forefront of AI research and enterprise transformation, fostering a collaborative environment where groundbreaking ideas become reality.
About The Role
We are seeking experienced Data Analysts (MLE Bench) to join our dynamic team and contribute to benchmark-driven evaluation projects centered on real-world machine learning systems. This role involves engaging in 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, experience working at the intersection of data analysis and machine learning, and the ability to handle complex datasets and evaluation workflows effectively. This position offers an exciting opportunity to work on cutting-edge AI projects, collaborate with top-tier researchers and engineers, and impact the development and deployment of next-generation AI systems.
Qualifications
- Minimum of 3+ years of 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 and evaluation metrics.
- Strong understanding of statistical concepts and analytical reasoning.
- Ability to work with large, complex datasets and extract reliable insights.
- Experience in writing clean, readable, and well-documented analytical code.
- Excellent communication skills in spoken and written English.
Responsibilities
- Analyze structured and unstructured datasets generated during ML training, inference, and evaluation pipelines to identify patterns, anomalies, and insights.
- Define, compute, and validate key metrics used to evaluate model performance and behavior, ensuring accuracy and relevance.
- Investigate data distributions, model outputs, failure modes, and edge cases to inform model improvements and robustness.
- Develop and execute Python and SQL scripts to analyze data, generate reports, and support evaluation workflows.
- Validate data quality, consistency, and correctness across multiple datasets and experimental runs.
- Create comprehensive, well-documented analytical artifacts and workflows to ensure reproducibility and transparency.
- Collaborate effectively with ML engineers and researchers to design challenging, real-world evaluation scenarios for MLE Bench projects.
- Participate in cross-functional team discussions to refine evaluation methodologies and improve benchmarking processes.
Benefits
- Opportunity to work remotely in a fully flexible environment, allowing for a healthy work-life balance.
- Engage with cutting-edge AI projects and collaborate with leading LLM companies and industry experts.
- Gain exposure to innovative AI research and contribute to impactful enterprise solutions.
- Flexible engagement terms with opportunities for professional growth and skill development.
- Join a forward-thinking organization committed to technological excellence and innovation.
Equal Opportunity
Turing is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and applicants. We do not discriminate based on race, ethnicity, gender, age, religion, sexual orientation, disability, or any other protected characteristic. We believe that diverse perspectives and backgrounds foster innovation and drive our success. All qualified candidates are encouraged to apply and will be considered solely based on their skills, experience, and qualifications.
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