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 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 dynamic team. In this role, you will focus on benchmark-driven evaluation projects centered on real-world machine learning systems. Your primary responsibilities will include working with production-grade ML codebases, developing and refining model training and evaluation pipelines, and deploying workflows that assess and enhance the capabilities of advanced AI systems. This position offers an exciting opportunity to bridge research and engineering, working closely with models, data, and infrastructure within realistic ML environments. Your contributions will directly influence the evaluation and improvement of cutting-edge AI models, ensuring they meet high standards of performance and reliability.

Qualifications

The ideal candidate will have a minimum of 3+ years of experience as a Machine Learning Engineer or Software Engineer with a focus on ML. You should possess strong proficiency in Python, especially in developing and managing machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines is essential. A solid understanding of fundamental machine learning concepts such as supervised and unsupervised learning, evaluation metrics, and optimization techniques is required. Experience working with popular ML frameworks like PyTorch, TensorFlow, JAX, or similar tools is highly desirable. You must be capable of understanding, navigating, and modifying complex, real-world ML codebases. Additionally, you should demonstrate the ability to write clean, reusable, and maintainable production-quality code, along with strong problem-solving and debugging skills. Excellent communication skills in English, both spoken and written, are necessary for effective collaboration within cross-functional teams.

Responsibilities

Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.

• 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 robust assessment of AI systems.
• Prepare datasets, features, and metrics that are essential for benchmarking and validation processes.
• Debug, refactor, and optimize production-like ML systems to improve correctness, performance, and scalability.
• Evaluate model behavior, identify failure modes, and analyze edge cases relevant to benchmark tasks to inform system improvements.
• Develop and maintain clean, reproducible, and well-documented Python code to support ML workflows and evaluations.
• Participate in code reviews to uphold high standards of engineering quality and best practices.

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

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

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 engage with cutting-edge AI projects, collaborating with leading LLM companies and innovative research teams. This role provides exposure to some of the most advanced AI systems and frameworks, enhancing your skills and professional growth. Additionally, you will enjoy the autonomy of managing your workload while contributing to impactful projects that shape the future of AI technology.

Equal Opportunity

Turing is committed to creating an inclusive environment for all employees and applicants. We are proud to be an equal opportunity employer, and we do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We believe diversity fosters innovation and excellence, and we welcome candidates from all backgrounds to apply and contribute to our mission of advancing frontier AI research and deployment.