Turing is looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems.

Company: Turing

Role: Machine Learning Engineer (MLE Bench)

Location: Remote (India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico)

Experience:

Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused)

Key Skills:

Machine Learning
Python
PyTorch
TensorFlow
JAX

Role Focus:

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 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

Other:

Work in a fully remote environment
Opportunity to work on cutting-edge AI projects with leading LLM companies
Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST
Engagement Type: Contractor assignment (no medical/paid leave)
Duration of Contract: 3 months (adjustable based on engagement)
Technical Interview with live coding challenge (60 mins)

Machine Learning Engineer (MLE Bench)

Skills Required

Description

Experience:

Key Skills:

Role Focus:

Other:

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