Machine Learning Engineer (MLE Bench)

About The Company

Turing is a renowned research accelerator based in San Francisco, California, dedicated to advancing frontier artificial intelligence research and supporting enterprises in deploying sophisticated AI systems. As a trusted partner to global organizations, Turing accelerates cutting-edge AI innovation by providing high-quality data, state-of-the-art training pipelines, and access to top-tier AI researchers specializing in coding, reasoning, STEM, multilinguality, multimodality, and autonomous agents. The company's mission is to bridge the gap between AI research and real-world application, transforming proof-of-concept models into reliable, impactful, and profit-driving AI solutions. Turing's commitment to excellence and innovation positions it as a leader in the AI industry, fostering a collaborative environment where talent and technology converge to push the boundaries of what AI can achieve.

About The Role

We are seeking experienced Machine Learning Engineers (MLE Bench) to join our dynamic team in contributing to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves engaging 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 models. The ideal candidate will possess a strong ability to bridge research insights with engineering practices, working closely with models, data, and infrastructure in complex ML environments. This position offers an exciting opportunity to work on challenging tasks that directly influence the development and deployment of cutting-edge AI systems, ensuring their performance, robustness, and reliability in practical applications.

Qualifications

The successful candidate will have 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, along with hands-on experience in building, training, evaluating, and deploying machine learning models. A solid understanding of fundamental machine learning concepts such as supervised and unsupervised learning, evaluation metrics, and optimization techniques is required. Experience with popular ML frameworks like PyTorch, TensorFlow, or JAX is necessary to effectively navigate and modify complex codebases. Candidates should demonstrate the ability to produce clean, reusable, and maintainable production-quality code, coupled with strong problem-solving and debugging skills. Excellent communication skills in English, both written and spoken, are vital for collaboration within cross-functional teams.

Responsibilities

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• Engage with real-world ML codebases to support model evaluation and benchmarking tasks aligned with MLE Bench standards.
• Design, implement, and optimize model training, evaluation, and inference pipelines to ensure robustness and efficiency.
• Prepare datasets, features, and metrics to facilitate comprehensive ML benchmarking and validation processes.
• Debug, refactor, and enhance production-like ML systems to improve correctness, performance, and scalability.
• Assess model behavior, identify failure modes, and analyze edge cases relevant to benchmarking objectives.
• Write clean, well-documented, and reproducible Python code for various ML workflows and pipelines.
• Participate in code reviews to uphold high engineering standards and share best practices across the team.

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• Collaborate with researchers and engineers to develop challenging, real-world ML engineering tasks for system evaluation and improvement.
  
  

Benefits

Joining Turing as a freelance Machine Learning Engineer offers the flexibility of a fully remote work environment, enabling you to work from anywhere. You will have the opportunity to engage with some of the most innovative AI projects, collaborating with leading companies specializing in large language models and advanced AI systems. This role provides exposure to cutting-edge technologies and the chance to contribute to impactful AI solutions that shape the future of the industry. Additionally, Turing offers a supportive community of talented professionals, ongoing learning opportunities, and the chance to expand your expertise in a rapidly evolving field.

Equal Opportunity

Turing is committed to fostering an inclusive environment where all employees and applicants are treated with respect and fairness. We are an equal opportunity employer and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected characteristic. We believe that diversity enhances innovation and creativity, and we are dedicated to building a workforce that reflects the diverse communities we serve. All qualified candidates are encouraged to apply and will be considered based on their skills, experience, and potential to contribute to our mission.