Machine Learning Engineer

About The Company

Turing, headquartered in San Francisco, California, is recognized as the world's premier research accelerator dedicated to frontier artificial intelligence labs. As a trusted partner to global enterprises, Turing specializes in deploying advanced AI systems that push the boundaries of innovation. The company's core mission is to support cutting-edge research by providing high-quality data, sophisticated training pipelines, and top-tier AI researchers with expertise spanning coding, reasoning, STEM fields, multilinguality, multimodality, and autonomous agents. By bridging the gap between research and real-world application, Turing empowers organizations to transform AI proof-of-concept projects into proprietary, reliable, and impactful systems that deliver measurable business results and sustained value.

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 engaging directly with production-grade ML codebases, developing and refining model training and evaluation pipelines, and supporting deployment workflows. The primary focus is on assessing and enhancing the capabilities of advanced AI systems through rigorous benchmarking and validation. The ideal candidate will possess a unique blend of research insight and engineering expertise, capable of working deeply with models, data, and infrastructure within realistic ML environments to drive continuous improvement and innovation.

Qualifications

The successful candidate should have a minimum of three years' experience as a Machine Learning Engineer or Software Engineer with a focus on ML. Proficiency in Python is essential, especially for developing and managing data workflows and ML pipelines. Hands-on experience with model training, evaluation, and inference processes is required, along with a solid understanding of fundamental machine learning concepts such as supervised and unsupervised learning, evaluation metrics, and optimization techniques. Experience working with popular ML frameworks like PyTorch, TensorFlow, or JAX is highly desirable. Candidates must demonstrate the ability to understand, navigate, and modify complex, real-world ML codebases, and write clean, reusable, and maintainable production-quality code. Strong problem-solving skills, debugging capabilities, and excellent communication skills in English are also essential for success in this role.

Responsibilities

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• Work with real-world ML codebases to support model evaluation tasks aligned with MLE Bench standards.
• Develop, run, and refine model training, evaluation, and inference pipelines to ensure robustness and performance.
• Prepare datasets, features, and metrics tailored for benchmarking and validation processes.
• Debug, refactor, and optimize production-like ML systems to improve correctness and efficiency.
• Analyze model behavior, identify failure modes, and examine edge cases relevant to benchmark assessments.
• Write clean, well-documented, and reproducible Python code to facilitate seamless workflows.
• Participate in code reviews to uphold high standards of engineering quality and best practices.

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• Collaborate with research teams and engineers to design challenging, real-world ML tasks for evaluating AI systems comprehensively.
  
  

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 top-tier researchers. This role provides exposure to innovative technologies and the chance to significantly impact the development of advanced AI systems. Additionally, freelancers can enjoy a flexible schedule, enabling a healthy work-life balance while contributing to impactful projects in the AI domain.

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, ethnicity, gender, age, religion, sexual orientation, disability, or any other protected characteristic. We believe that diverse perspectives and experiences foster innovation and drive the success of our projects and organization. All qualified candidates are encouraged to apply and be part of our dynamic and inclusive team.