Machine Learning Engineer

About The Company

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

About The Role

We are seeking experienced Machine Learning Engineers (MLE Bench) to join our innovative team. This role is focused on benchmark-driven evaluation projects that assess the performance and robustness of real-world machine learning systems. As part of our team, you will work with production-grade ML codebases, develop and refine model training and evaluation pipelines, and contribute to deployment workflows aimed at enhancing the capabilities of cutting-edge AI systems. The ideal candidate will have a strong ability to bridge research and engineering, working extensively with models, data, and infrastructure within realistic ML environments. Your contributions will directly impact the evaluation of AI systems, ensuring they meet high standards of performance and reliability.

Responsibilities

• Work with real-world ML codebases to support Machine Learning Engineer Bench-style evaluation tasks, ensuring rigorous assessment of AI models.
• Build, run, and modify model training, evaluation, and inference pipelines to optimize performance and reliability.
• Prepare datasets, features, and metrics specifically tailored for benchmarking and validation of machine learning models.
• Debug, refactor, and enhance production-like ML systems to improve correctness, efficiency, and scalability.
• Evaluate model behavior, identify failure modes, and analyze edge cases relevant to benchmark tasks to inform improvements.
• Write clean, reproducible, and well-documented Python code for ML workflows, adhering to best practices in software engineering.
• Participate in code reviews to maintain high standards of engineering quality and foster collaborative development.

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• Collaborate closely with researchers and engineers to design challenging, real-world ML engineering tasks for comprehensive AI system evaluation.
  
  

Qualifications

• Minimum of 3+ years of experience as a Machine Learning Engineer or Software Engineer with a focus on ML projects.
• Proficiency in Python, with extensive experience in developing data workflows and machine learning pipelines.
• Hands-on experience with model training, evaluation, and inference pipelines in production environments.
• Strong understanding of machine learning fundamentals, including supervised and unsupervised learning, evaluation metrics, and optimization techniques.
• Experience working with popular ML frameworks such as PyTorch, TensorFlow, JAX, or similar tools.
• Ability to navigate, understand, and modify complex, real-world ML codebases effectively.
• Proven track record of writing readable, reusable, and maintainable production-quality code.
• Excellent problem-solving skills and the ability to debug complex systems efficiently.
• Strong verbal and written communication skills in English, capable of articulating technical concepts clearly.
  
  

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Benefits

• Opportunity to work remotely from anywhere, providing flexibility and work-life balance.
• Engage in cutting-edge AI projects with leading companies specializing in large language models and advanced AI systems.
• Collaborate with a global network of top AI researchers and engineers, fostering professional growth and knowledge sharing.
• Participate in a dynamic and innovative environment that values continuous learning and development.
• Contribute to impactful projects that push the boundaries of artificial intelligence technology.
  
  

Equal Opportunity

Turing is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, disability, or any other protected characteristic. We believe that diverse teams drive innovation and excellence, and we welcome applicants from all backgrounds to join our mission to advance frontier AI research and deployment.