🌎ML Engineer (MSc. or PhD), Remote- Contract

Requirements

• Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or closely related quantitative disciplineMust
• Strong professional or research experience in machine learningMust
• Practical proficiency with PythonMust
• Experience using coding agents with Python in workflowMust
• Ability to work independently with flexible schedule and remote environmentMust
• Availability to start within 24-48 hours of onboardingMust
• Experience at well-established technology company, AI laboratory, or research organization
• Open-source or academic contributions in machine learning

What you'll do

• Develop and validate machine learning models and training pipelines
• Implement model components and data pipelines
• Build and optimize inference systems
• Construct reproducible training and inference workflows using Python and command-line tools
• Optimize performance for memory and throughput
• Debug numerical and system-level failures
• Implement or modify machine learning models
• Implement evaluation systems and numerical methods
• Verify implementation satisfies correctness and performance requirements

Keywords

About the role

Role Title: Senior ML Engineer (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 Required Skills: • Machine Learning 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. 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. Equivalent tools may also be considered when the candidate demonstrates directly relevant depth. Experience at a well-established technology company, AI laboratory, research organization, or other recognized engineering environment is strongly preferred. Exceptional open-source or academic experience may also qualify. Process: • Apply to the role and complete the screening questions. • Complete an AI interview of approximately 30 minutes. • Complete the hiring manager review. 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: Typically, roles are filled 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. Originally posted on Himalayas