ML Engineer (Remote)

• 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!