Job summary

Role: ML Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Part-Time Payout: Competitive, based on experience Role Overview: We are hiring for one of our clients, seeking a MLE Bench – ML Engineers to work on a part-time basis. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML env…

Job details

Role: ML Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Part-Time Payout: Competitive, based on experience Role Overview: We are hiring for one of our clients, seeking a MLE Bench – ML Engineers to work on a part-time basis. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure 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 behavior, failure modes, and edge cases relevant to benchmark tasks Required Skills & 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) • Experience working with ML frameworks (e.g., PyTorch, TensorFlow) More About the Opportunity: This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development and evaluation of frontier AI systems. Candidates will collaborate with top AI researchers and engineers to design and solve challenging real-world ML engineering tasks. Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now!

What you’ll do

The ML Engineer will work with real-world ML codebases to support evaluation tasks and build, run, and modify model training and evaluation pipelines. They will also prepare datasets and debug production-like ML systems for performance and correctness.

Requirements

Candidates should have a minimum of 3 years of experience as a machine learning engineer or software engineer with a focus on ML. Strong proficiency in Python and hands-on experience with model training and evaluation pipelines are essential.

Listed skills

Software · Preferred
Évaluation · Preferred
Validation · Preferred
Production · Preferred
Technical · Preferred
Organization · Preferred
Training · Preferred
Attention to detail · Preferred
Machine learning · Preferred
Development · Preferred
Time · Preferred
Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

Machine Learning
Python
Model Training
Model Evaluation
Inference Pipelines
Data Preparation
Debugging
Refactoring
ML Frameworks
PyTorch
TensorFlow
Supervised Learning
Unsupervised Learning
Evaluation Metrics
Optimization