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Turing
Deep Learning Solutions Engineer
Turing
New Delhi•Remote•3-6 Yrs•Jun 24
Job description
Remote
Overview
Role Overview: You are an experienced Machine Learning Engineer (MLE Bench) who will contribute to benchmark-driven evaluation projects focused on real-world machine learning systems.
Responsibilities
- Work with real-world ML codebases to support MLE Benchstyle 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 behavior, 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 ensure high standards of engineering quality.
- Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.
- Work with real-world ML codebases to support MLE Benchstyle 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 behavior, 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 ensure high standards of engineering quality.
- Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.
Qualifications
- Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused).
- Strong proficiency in Python for machine learning and data workflows.
- Hands-on experience with model training, evaluation, and inference pipelines.
- Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization).
- Ability to understand, navigate, and modify complex, real-world ML codebases.
- Solid problem-solving and debugging skills.
- Excellent spoken and written English communication skills.
- Work in a fully remote environment.
- Opportunity to work on cutting-edge AI projects with leading LLM companies. Role Overview:
- Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused).
- Strong proficiency in Python for machine learning and data workflows.
- Hands-on experience with model training, evaluation, and inference pipelines.
- Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization).
- Ability to understand, navigate, and modify complex, real-world ML codebases.
- Solid problem-solving and debugging skills.
- Excellent spoken and written English communication skills.