Machine Learning Engineer (MLE Bench)

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 its clients by accelerating frontier research through high-quality data, sophisticated training pipelines, and a team of top-tier AI researchers specializing in coding, reasoning, STEM, multilinguality, multimodality, and agents. In addition, Turing leverages its expertise to help enterprises transform AI from proof of concept into proprietary intelligence, delivering systems that perform reliably, generate measurable impact, and drive sustainable results on the P&L. With a focus on innovation and excellence, Turing is committed to advancing the frontiers of artificial intelligence and empowering organizations worldwide to harness its transformative potential.

About The Role

We are seeking experienced Machine Learning Engineers (MLE Bench) to join our team and contribute to benchmark-driven evaluation projects centered on real-world machine learning systems. In this role, you will work hands-on with production-grade ML codebases, develop and optimize model training and evaluation pipelines, and support deployment workflows to assess and enhance the capabilities of cutting-edge AI systems. The ideal candidate will possess a strong ability to bridge research and engineering, working deeply with models, data, and infrastructure within realistic ML environments. Your work will directly influence the evaluation standards and robustness of AI systems, ensuring their performance aligns with real-world demands.

Qualifications

• Minimum of 3+ years of experience as a Machine Learning Engineer or Software Engineer with a focus on ML applications.
• Proficiency in Python and its ecosystem for machine learning and data processing tasks.
• Hands-on experience with model training, evaluation, and inference pipelines in production environments.
• Strong understanding of core machine learning concepts, including supervised and unsupervised learning, evaluation metrics, and optimization techniques.
• Experience working with popular ML frameworks such as PyTorch, TensorFlow, JAX, or similar.

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• Ability to understand, navigate, and modify complex, real-world ML codebases effectively.
• Proven ability to write clean, reusable, and maintainable production-quality code.
• Excellent problem-solving and debugging skills to troubleshoot and optimize ML systems.
• Strong communication skills, both spoken and written, in English.
  
  

Responsibilities

• Collaborate with research and engineering teams to support MLE Bench–style evaluation tasks on real-world ML codebases.
• Design, develop, and maintain model training, evaluation, and inference pipelines to facilitate benchmarking efforts.
• Prepare datasets, features, and metrics for comprehensive ML benchmarking and validation processes.
• Debug, refactor, and optimize production-like ML systems to ensure correctness, efficiency, and scalability.

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• Analyze model behavior, identify failure modes, and evaluate edge cases relevant to benchmark assessments.
• Write well-structured, reproducible, and well-documented Python code for ML workflows and systems.
• Participate in code reviews to uphold high standards of engineering quality and best practices.
• Engage with researchers and engineers to design challenging, real-world ML tasks for robust AI system evaluation.
  
  

Benefits

As a freelancer with Turing, you will have the opportunity to work remotely from anywhere, providing flexibility and work-life balance. You will be involved in cutting-edge AI projects with leading LLM companies, gaining valuable experience and exposure to the latest advancements in artificial intelligence. Turing offers a dynamic and collaborative environment where your skills can directly impact innovative AI solutions worldwide. Additionally, this role provides a flexible working schedule, allowing you to manage your workload effectively while contributing to impactful projects.

Equal Opportunity

Turing is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and freelancers. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other protected characteristic. We believe in fostering a workplace culture that values different perspectives and experiences, ensuring everyone has the opportunity to succeed and grow within our organization.