Machine Learning Engineer (MLE Bench) - Remote

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 primary ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, and 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. The company’s mission is to push the boundaries of AI research and facilitate the practical deployment of cutting-edge AI solutions across industries, ensuring clients stay at the forefront of technological innovation.

About The Role

We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments. This position offers an opportunity to engage with challenging ML tasks, collaborate with top-tier researchers and engineers, and contribute to the development of robust, scalable AI evaluation frameworks.

Qualifications

The ideal candidate will possess a minimum of 3+ years of experience as a Machine Learning Engineer or Software Engineer with a focus on ML. Strong proficiency in Python is essential, especially for developing and managing machine learning and data workflows. Candidates should have hands-on experience with model training, evaluation, and inference pipelines, along with a solid understanding of machine learning fundamentals such as supervised and unsupervised learning, evaluation metrics, and optimization techniques. Experience working with ML frameworks like PyTorch, TensorFlow, or JAX is required, along with the ability to understand, navigate, and modify complex, real-world ML codebases. Excellent problem-solving and debugging skills, coupled with strong communication skills in English, are necessary to succeed in this role.

Responsibilities

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• Work with real-world ML codebases to support MLE Bench–style evaluation tasks, ensuring accurate benchmarking and validation.
• Build, run, and modify model training, evaluation, and inference pipelines to facilitate systematic testing and performance assessment.
• Prepare datasets, features, and metrics tailored for ML benchmarking, validation, and analysis.
• Debug, refactor, and optimize 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 system improvements.
• Write clean, reproducible, and well-documented Python code for various ML workflows, ensuring maintainability and scalability.
• Participate in code reviews, providing constructive feedback and adhering to high engineering standards.

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

Benefits

Joining Turing as a freelance Machine Learning Engineer offers the flexibility of working remotely from anywhere in the world. You will have the opportunity to contribute to cutting-edge AI projects with leading language model companies and top-tier research labs. This role provides exposure to innovative technologies and the chance to expand your professional portfolio by working on impactful, real-world AI systems. Additionally, freelancers can enjoy competitive compensation aligned with industry standards, along with the flexibility to manage their work schedules within project requirements.

Equal Opportunity

Turing is committed to fostering an inclusive environment and is proud to be an equal opportunity employer. We celebrate diversity and are dedicated to creating a workplace that is welcoming, respectful, and supportive for all employees and freelancers, regardless of race, gender, age, religion, disability, sexual orientation, or background. We believe that diverse perspectives drive innovation and excellence, and we encourage candidates from all backgrounds to apply and join our community of forward-thinking AI professionals.