Junior Machine Learning Engineer

You will complete coding-heavy AI training tasks focused on machine learning model development, training and inference systems, numerical computing, and performance optimization. The work includes creating, solving, reviewing, and validating engineering tasks against clear correctness and performance requirements.

You will build reproducible workflows with Python and command-line tools, then test and assess whether implementations meet project specifications. You may also debug numerical or system-level failures and improve memory use or processing speed.

• Develop and validate machine learning models, training pipelines, and inference systems.
• Build evaluation systems, numerical methods, and supporting infrastructure.
• Create, solve, review, and validate challenging programming tasks.
• Use Python and command-line tools to build reproducible workflows.
• Optimize memory use and throughput, debug failures, and check technical results.

This is a part-time contractor opportunity with flexible scheduling. The expected commitment is approximately 15 hours per week, and the role is remote for candidates in the listed countries.

• Hours: Approximately 15 hours per week, with flexible scheduling.
• Language: Fluent English.
• Education: A bachelor's degree in computer science, machine learning, artificial intelligence, applied mathematics, statistics, engineering, or a closely related quantitative field.
• Technical background: Experience using coding agents in your development workflow.
• Relevant tools: PyTorch, JAX, NumPy/SciPy, SGLang, vLLM, llama.cpp, tokenizers, or transformers.