Remote ML Engineer

About Turing

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 team and contribute to benchmark-driven evaluation projects centered on real-world machine learning systems. This role requires a hands-on approach with production-grade ML codebases, model training and evaluation pipelines, and deployment workflows. The primary objective is to assess and enhance the capabilities of cutting-edge AI systems through rigorous benchmarking and validation.

The ideal candidate will have the ability to bridge research and engineering, working deeply with models, data, and infrastructure in realistic ML environments. You will collaborate with cross-functional teams to design, build, and optimize evaluation frameworks that simulate real-world scenarios, ensuring our AI systems are robust, reliable, and performant.

This position offers a unique opportunity to work on impactful projects that push the boundaries of AI technology, with a focus on practical implementation and continuous improvement of machine learning models in production settings.

Qualifications

• Minimum of 3+ years of experience as a Machine Learning Engineer or Software Engineer focused on ML projects.
• Strong proficiency in Python, particularly in developing and managing machine learning 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.

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• Experience working with popular ML frameworks such as PyTorch, TensorFlow, JAX, or similar tools.
• Ability to understand, navigate, and modify complex, real-world ML codebases.
• Proven ability to write clean, reusable, and maintainable production-quality code.
• Strong problem-solving and debugging skills to troubleshoot and optimize ML systems.
• Excellent communication skills, both spoken and written, in English.
  
  

Responsibilities

• Work with real-world ML codebases to support evaluation tasks aligned with MLE Bench standards.
• Build, modify, and maintain model training, evaluation, and inference pipelines to ensure accurate benchmarking.
• Prepare datasets, features, and metrics for comprehensive ML validation and benchmarking processes.

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• Debug, refactor, and optimize production-like ML systems to enhance correctness and performance.
• Evaluate model behavior, identify failure modes, and analyze edge cases relevant to benchmark tasks.
• Write clear, reproducible, and well-documented Python code for ML workflows and evaluation scripts.
• Participate in code reviews to uphold high engineering standards and best practices.
• Collaborate with researchers and engineers to design challenging, real-world ML evaluation tasks for AI system assessment.
  
  

Benefits

As a freelancer with Turing, you will enjoy the flexibility of working remotely from anywhere in the world, allowing you to balance your professional and personal life effectively. You will have the opportunity to work on innovative AI projects with leading LLM companies, gaining exposure to the latest advancements in artificial intelligence technology. Turing also provides a collaborative environment where your contributions can make a significant impact on the future of AI systems. Additionally, you can expand your professional network by working with top-tier researchers and engineers across the globe.

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. Our goal is to foster a workplace culture that values and respects individual differences, ensuring everyone has equal access to opportunities and growth within the company.