Machine Learning Engineer (Benchmarking) - Remote

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 access to top-tier AI researchers with expertise in coding, reasoning, STEM, multilinguality, multimodality, and agents. Additionally, Turing helps enterprises transform AI proof of concepts into proprietary, reliable, and impactful systems that deliver measurable results and drive sustained business growth. With a focus on innovation and excellence, Turing is committed to advancing the frontiers of artificial intelligence and enabling organizations to harness its full potential.

About The Role

We are seeking experienced Machine Learning Engineers (MLE Bench) to join our dynamic team and contribute to benchmark-driven evaluation projects centered on real-world machine learning systems. This role involves working directly with production-grade ML codebases, developing and refining model training, evaluation, and inference pipelines, and deploying workflows that assess and enhance the capabilities of sophisticated AI systems. The ideal candidate will have a strong ability to bridge research and engineering, working deeply with models, data, and infrastructure in realistic ML environments to drive continuous improvement and innovation.

Qualifications

The successful candidate will possess a minimum of three years of experience as a Machine Learning Engineer or Software Engineer with a focus on ML. Proficiency in Python is essential, particularly in developing and managing machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines 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 should 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 abilities, 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 benchmark evaluation tasks, ensuring accuracy and reliability.
• Build, run, and modify model training, evaluation, and inference pipelines to optimize performance and robustness.
• Prepare datasets, features, and metrics for benchmarking and validation purposes, ensuring data quality and relevance.
• Debug, refactor, and enhance production-like ML systems to improve correctness, efficiency, and scalability.
• Evaluate model behavior, identify failure modes, and analyze edge cases relevant to benchmark tasks.
• Write clean, well-documented, and reproducible Python code to facilitate collaboration and future development.
• Participate in code reviews to uphold high standards of engineering quality and best practices.

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

Benefits

Joining Turing as a freelance Machine Learning Engineer offers the flexibility to work remotely from anywhere, providing a conducive environment for productivity and work-life balance. You will have the opportunity to engage in cutting-edge AI projects with leading LLM companies, gaining exposure to innovative technologies and methodologies. Turing supports a collaborative and inclusive culture that values talent and expertise, offering a platform to grow professionally while contributing to impactful AI solutions. Additionally, freelance professionals benefit from flexible working hours, allowing you to tailor your workload to your schedule and personal commitments.

Equal Opportunity

Turing is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and contractors. We believe that diverse perspectives and backgrounds drive innovation and excellence, and we welcome applications from individuals of all backgrounds, regardless of race, gender, age, religion, sexual orientation, disability, or any other characteristic protected by law. Our commitment is to ensure a fair, respectful, and supportive work environment where everyone has the opportunity to thrive and contribute meaningfully to our mission.