Machine Learning Engineer

About The Company

Turing is a leading research accelerator based in San Francisco, California, dedicated to advancing frontier AI research and supporting enterprises in deploying sophisticated AI systems. As a trusted partner for global organizations, Turing specializes in accelerating research through high-quality data, state-of-the-art training pipelines, and top-tier AI researchers with expertise in coding, reasoning, STEM fields, multilinguality, multimodality, and intelligent agents. The company's mission is to transform AI from experimental proof of concept into reliable, proprietary systems that deliver measurable impact and drive sustained business results. Turing’s innovative approach combines cutting-edge research with practical engineering solutions, enabling clients to harness the full potential of AI technology in real-world applications.

About The Role

We are seeking experienced Machine Learning Engineers (MLE Bench) to join our team and contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves working with production-grade ML codebases, developing and refining model training and evaluation pipelines, and deploying workflows to assess and enhance the capabilities of advanced AI systems. The ideal candidate will possess a strong ability to bridge research and engineering, working intimately with models, data, and infrastructure within realistic ML environments. Your work will directly influence the development of robust, reliable AI systems by supporting rigorous benchmarking and evaluation activities.

Responsibilities

• Collaborate with research and engineering teams to support MLE Bench-style evaluation tasks on real-world ML codebases.
• Design, build, and modify model training, evaluation, and inference pipelines to facilitate benchmarking activities.
• Prepare datasets, features, and metrics to ensure accurate ML benchmarking and validation processes.
• Debug, refactor, and optimize production-like ML systems for correctness, efficiency, and scalability.
• Assess model behavior, identify failure modes, and analyze edge cases relevant to benchmark tasks to improve system robustness.

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• Write clean, well-structured, and reproducible Python code to support ML workflows, ensuring maintainability and clarity.
• Participate in code reviews to uphold high standards of engineering quality and best practices.
• Work collaboratively with researchers and engineers to design challenging, real-world ML engineering tasks for comprehensive AI system evaluation.
  
  

Qualifications

• Minimum of 3+ years of professional experience as a Machine Learning Engineer or Software Engineer with a focus on ML.
• Proficiency in Python programming, especially for machine learning and data processing workflows.
• Hands-on experience with model training, evaluation, and inference pipelines in production environments.
• Strong understanding of core machine learning concepts, including supervised and unsupervised learning, evaluation metrics, and optimization techniques.
• Experience working with popular ML frameworks such as PyTorch, TensorFlow, JAX, or equivalent.

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• Ability to understand, navigate, and modify complex, real-world ML codebases effectively.
• Proven ability to produce readable, reusable, and maintainable production-quality code.
• Excellent problem-solving skills with a keen eye for debugging and system optimization.
• Strong communication skills in English, both spoken and written, to facilitate collaboration and documentation.
  
  

Benefits

As a freelancer working with Turing, you will enjoy the flexibility of a fully remote work environment, allowing you to balance your professional and personal life effectively. You will have the opportunity to work on cutting-edge AI projects with leading companies specializing in large language models and advanced AI systems. This role offers exposure to innovative technologies and the chance to contribute to impactful AI solutions that are shaping the future of the industry. Additionally, Turing provides a supportive community of talented professionals, opportunities for skill development, and the flexibility to choose projects that align with your expertise and interests.

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 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 that diverse teams foster innovation and drive better outcomes, and we welcome applicants from all backgrounds to join our community and contribute to our mission of advancing frontier AI research and deployment.