Machine Learning Researcher (MSc. or PhD), Remote- Contract

Xperteez Technology Pvt Ltd; United States; Remote; USD 41,000 - 68,000; Part time

Job summary

Xperteez Technology Pvt Ltd is seeking a Machine Learning Researcher (MSc or PhD) for a globally remote contract role (~15 hours per week). The work is highly coding heavy, involving model development, training and inference systems, and Python-based tooling.

The role emphasizes developing and validating ML models, building reproducible workflows, and optimizing performance with numerical methods. Flexible scheduling and immediate onboarding are expected.

Qualifications

• Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
• Strong professional or research experience in machine learning.
• Practical proficiency with Python and coding agents.

Responsibilities

• Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.
• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Build reproducible programmatic workflows using Python and command-line tools.

Skills

Machine Learning

Education

Master's or PhD in Computer Science/ML or related

Tools

Python

Job description

Role TItle: Machine Learning Researcher (MSc. or PhD) Location: Global, fully remote Job Type: Contract (~15 hours per week) Schedule: Flexible-you choose the hours and days you work, including weekends if desired

We are looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and inference systems, numerical computing, performance optimization, and Python.

The work involves creating, solving, reviewing, and validating challenging machine-learning engineering tasks.

A representative task may require implementing or modifying a model, constructing a reproducible training or inference workflow, optimizing memory or throughput, debugging numerical or system-level failures, and verifying that the resulting implementation satisfies objective correctness and performance requirements.

This is a very coding heavy role.

Candidates but have experience using coding agents with python in their workflow.

Required Skills

• Machine Learning

What You'll Work On

• Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.
• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Build reproducible programmatic workflows using Python and command-line tools.

Required Qualifications

• A master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
• Strong professional or research experience in machine learning.
• Practical proficiency with Python and coding agents.

Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert's experience and workflow. Minimum submission requirements apply.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24-48 hours of completing onboarding.