Remote Machine Learning Engineer

Role Overview Turing is a San Francisco-based research accelerator and AI partner powering frontier AI labs and global enterprises. We are hiring experienced Machine Learning Engineers on a contract basis to contribute to benchmark-driven evaluation projects that assess and improve the capabilities of advanced AI systems. The ideal candidate bridges research and engineering, working hands-on with production-grade ML codebases, training pipelines, and deployment workflows in realistic ML environments. Key Responsibilities - Work with real-world ML codebases to support MLE Bench-style evaluation tasks - Build, run, and modify model training, evaluation, and inference pipelines - Prepare datasets, features, and metrics for ML benchmarking and validation - Debug, refactor, and improve production-like ML systems for correctness and performance - Evaluate model behaviour, failure modes, and edge cases relevant to benchmark tasks - Write clean, reproducible, and well-documented Python code for ML workflows - Participate in code reviews to uphold high engineering quality standards - Collaborate with researchers and engineers to design real-world ML engineering tasks for AI system evaluation Required Qualifications - Minimum 3 years of experience as a Machine Learning Engineer or ML-focused Software Engineer - Strong proficiency in Python for machine learning and data workflows - Hands-on experience with model training, evaluation, and inference pipelines - Solid understanding of ML fundamentals including supervised and unsupervised learning, evaluation metrics, and optimisation - Experience with ML frameworks such as PyTorch, TensorFlow, JAX, or similar - Ability to understand, navigate, and modify complex real-world ML codebases - Strong problem-solving, debugging, and code documentation skills - Excellent spoken and written English communication skills Why Join Us Turing offers a fully remote work environment with the opportunity to contribute to cutting-edge AI projects alongside some of the world's leading LLM companies. This is your chance to work on meaningful, high-impact AI research and evaluation at the frontier of the industry.

- 3+ years of experience as a Machine Learning Engineer or ML-focused Software Engineer - Strong Python proficiency for machine learning and data workflows - Hands-on experience with model training, evaluation, and inference pipelines - Knowledge of ML fundamentals including supervised and unsupervised learning and optimisation - Experience with ML frameworks such as PyTorch, TensorFlow, or JAX - Ability to navigate and modify complex production-grade ML codebases - Strong debugging and problem-solving skills - Excellent written and spoken English communication skills

- Fully remote work environment - Opportunity to work on cutting-edge frontier AI and LLM projects - Flexible contractor engagement with global AI research teams - Referral programme with earning potential via turing.com/referrals