Posted today · be early
🌎ML Engineer (MSc. or PhD), Remote- Contract
Xperteez Technology
WorldwideremotePosted 1 day ago
Skill Required
Machine-Learning-EngineerAI-EngineerMachine-Learning-Research-EngineerApplied-ScientistRemote-Machine-Learning-EngineerContract-ML-EngineerRemote-Senior-AI-EngineerAI-ML-Research-EngineerML-AI-Research-EngineerAI-ML-EngineerRemote-AI-EngineerSenior-AI-ML-EngineerMachine Learning EngineerMachine LearningEngineeringStatisticsdebuggingPythonandAIContract
Key highlights
- Compensation: Output-based (paid per task)
- Experience Level: Senior (MSc. or PhD)
- Schedule: Flexible, fully remote
- Requirement: Proficiency with Python and coding agents
Role overview
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.
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.
- Implement or modify a model, construct a reproducible training or inference workflow, optimize memory or throughput, debug numerical or system-level failures, and verify that the resulting implementation satisfies objective correctness and performance requirements.
Requirements
- 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.
- Experience using coding agents with python in their workflow.
Nice to have
- 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.
- Equivalent tools may also be considered when the candidate demonstrates directly relevant depth.
Additional details
- 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
- 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.
- Process: Apply to the role and complete the screening questions; Complete an AI interview of approximately 30 minutes; Complete the hiring manager review.
- 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
