Senior ML Engineer - AI Training & Pipelines, Remote

Recruitment Room - Global; United States; Remote; USD 58,000 - 115,000; Full time

Benefits offered by this job

Fully Remote

Flexible schedule

15 hours per week

Task-based pay

Job summary

Recruitment Room - Global is seeking an experienced Senior Machine Learning Engineer to contribute to AI training projects, model development, training pipelines, and inference systems. This is a highly technical, coding-intensive role.

You will build and debug implementations, optimize performance, and verify results against specifications. The position is fully remote with flexible hours and a workload around 15 hours per week.

Qualifications

• Master’s degree or PhD in CS, ML, AI, applied mathematics, statistics, engineering, or related quantitative field.
• Strong professional or research experience in machine learning.
• Proficiency in Python and coding agents.
• Ability to independently develop, debug, and validate complex code-based solutions.
• Strong analytical skills and attention to technical correctness.
• Nice-to-have: experience at a tech company or AI lab; open-source contributions.

Responsibilities

• Develop and validate ML models, training pipelines, inference systems, and supporting infrastructure.
• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Build reproducible workflows using Python and command-line tools.
• Debug numerical, software, and system-level failures.
• Optimize memory usage, throughput, and implementation performance.
• Review solutions against defined specifications.
• Use coding agents as part of the Python development workflow.

Skills

Machine learning experience

Python

Coding agents

Analytical thinking

Education

Master’s degree or PhD in CS/ML/AI/Applied Mathematics/Statistics/Engineering

Tools

Python libraries (NumPy/SciPy)

PyTorch/TensorFlow

Job description

Recruitment Room - Global is seeking an experienced Senior Machine Learning Engineer to contribute to AI training projects, model development, training pipelines, and inference systems. This is a highly technical, coding-intensive role.

You will build and debug implementations, optimize performance, and verify results against specifications. The position is fully remote with flexible hours and a workload around 15 hours per week.