Machine Learning Engineer (MLE Bench)

About The Company

Based in San Francisco, California, Turing is recognized as the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. The company specializes in accelerating frontier research by providing high-quality data, sophisticated training pipelines, and top-tier AI researchers who excel in coding, reasoning, STEM disciplines, multilinguality, multimodality, and agents. Turing’s mission is to transform AI from proof of concept to proprietary intelligence, delivering systems that are reliable, impactful, and capable of driving measurable results on the P&L for its clients. With a focus on innovation and excellence, Turing supports organizations in harnessing the full potential of AI to solve complex problems and stay ahead in a competitive landscape.

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. This role involves working hands-on with production-grade ML codebases, developing and maintaining model training and evaluation pipelines, and deploying workflows to assess and enhance the capabilities of advanced AI systems. The ideal candidate will have a strong ability to bridge research and engineering, working closely with models, datasets, and infrastructure in realistic ML environments. This position offers an exciting opportunity to engage with cutting-edge AI projects, ensuring that models perform reliably and meet rigorous evaluation standards.

Qualifications

• Minimum of 3+ years of experience as a Machine Learning Engineer or Software Engineer with a focus on ML.
• Proficiency in Python for machine learning and data workflows.
• Hands-on experience with model training, evaluation, and inference pipelines.
• Solid understanding of machine learning fundamentals, including supervised and unsupervised learning, evaluation metrics, and optimization techniques.
• Experience working with ML frameworks such as PyTorch, TensorFlow, JAX, or similar.

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

Responsibilities

• Work with real-world ML codebases to support MLE Bench-style evaluation tasks, ensuring rigorous testing and validation of AI models.
• Build, run, and modify model training, evaluation, and inference pipelines to optimize performance and reliability.
• Prepare datasets, features, and metrics essential for benchmarking and validation processes.
• Debug, refactor, and enhance production-like ML systems to improve correctness, efficiency, and scalability.

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• Evaluate model behavior, identify failure modes, and analyze edge cases relevant to benchmark tasks to inform improvements.
• Write clear, reproducible, and well-documented Python code for ML workflows, ensuring maintainability and ease of collaboration.
• Participate in code reviews to uphold high standards of engineering quality and best practices.
• Collaborate closely with researchers and engineers to design challenging, real-world ML engineering tasks for comprehensive AI system evaluation.
  
  

Benefits

As a freelancer with Turing, you will enjoy the flexibility of working in a fully remote environment, allowing you to balance your professional and personal life effectively. You will have the opportunity to work on cutting-edge AI projects alongside leading LLM companies, gaining valuable experience and exposure to innovative technologies. Turing offers a dynamic and supportive community of top-tier professionals, fostering continuous learning and growth. Additionally, you will be compensated for your expertise and contributions, with the chance to expand your professional network and reputation within the AI industry.

Equal Opportunity

Turing is committed to fostering an inclusive and equitable workplace. We celebrate diversity and are dedicated to providing equal employment opportunities to all applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We believe that diverse perspectives and backgrounds enhance our ability to innovate and deliver exceptional solutions to our clients.