Remote ML Engineer: Benchmark-Driven AI Systems

Turing; Turkey; Remote; TRY 4,129,000 - 6,193,000; Part time

Benefits offered by this job

Fully remote

3-month contract

4+ hrs/day, 20 hrs/week overlap with 4

Job summary

Turing seeks an experienced Machine Learning Engineer to contribute to benchmark-driven evaluation projects on real-world ML systems. You will work with production-grade ML code, training and evaluation pipelines, and deployment-oriented tasks to help assess advanced AI systems.

The ideal candidate has 3+ years in ML/Software, strong Python, and experience with PyTorch, TensorFlow or JAX. This is a contractor role for 3 months with at least 4 hours daily and 20 hours weekly overlap with PST.

Qualifications

• 3+ years of experience as ML/Software Engineer (ML-focused).
• Proficient in Python for ML workflows.
• Hands-on experience with training, evaluation, and inference pipelines.
• Experience with ML frameworks (PyTorch, TensorFlow, JAX).
• Strong debugging and problem-solving skills.
• Excellent spoken and written English communication.

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 behavior, failure modes, and edge cases relevant to benchmark tasks.
• Write clean, reproducible Python code for ML workflows and participate in code reviews.
• Collaborate with researchers and engineers to design challenging ML tasks for AI system evaluation.

Skills

Python for ML

ML pipelines

Code debugging

English communication

Tools

PyTorch

TensorFlow

JAX

Job description

Turing seeks an experienced Machine Learning Engineer to contribute to benchmark-driven evaluation projects on real-world ML systems. You will work with production-grade ML code, training and evaluation pipelines, and deployment-oriented tasks to help assess advanced AI systems.

The ideal candidate has 3+ years in ML/Software, strong Python, and experience with PyTorch, TensorFlow or JAX. This is a contractor role for 3 months with at least 4 hours daily and 20 hours weekly overlap with PST.