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Hiring: MLE Bench – ML EngineersTuring is looking for experienced Machine Learning Engineers to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows.Key ResponsibilitiesWork with real-world ML codebases to support MLE Bench-style evaluation tasksBuild, run, and modify model training, evaluation, and inference pipelinesPrepare datasets, features, and metrics for ML benchmarking and validationDebug, refactor, and improve production-like ML systems for correctness and performanceEvaluate model behavior, failure modes, and edge cases relevant to benchmark tasksWrite clean, reproducible, and well-documented Python code for ML workflowsParticipate in code reviews to ensure high standards of engineering qualityCollaborate with researchers and engineers to design challenging ML engineering tasksAreas of ExpertiseMachine Learning EngineeringPython ProgrammingModel Training & Evaluation PipelinesML Frameworks (PyTorch, TensorFlow, JAX)Production-Grade ML CodebasesData Preparation & Feature EngineeringBenchmarking & ValidationDebugging & Performance OptimizationRequirementsMinimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused)Strong proficiency in Python for machine learning and data workflowsHands-on experience with model training, evaluation, and inference pipelinesSolid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization)Experience working with ML frameworks (PyTorch, TensorFlow, JAX, or similar)Ability to understand, navigate, and modify complex, real-world ML codebasesExperience writing readable, reusable, and maintainable production-quality codeStrong problem-solving and debugging skillsExcellent spoken and written English communication skillsPerksFully remote environmentOpportunity to work on cutting-edge AI projects with leading LLM companiesApplication ProcessSubmit applicationTechnical Interview with live coding challenge (60 mins)Apply here: https://lnkd.in/d3Vi2YmE
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