ML Engineer (MSc. or PhD)
micro1
WorldwideremotePosted 2 days ago
Skill Required
AI-ML-EngineerMachine-Learning-EngineerML-AI-Research-EngineerML-Research-EngineerAI-ML-Research-EngineerSenior-ML-EngineerSenior-AI-ML-EngineerMachine Learning EngineerMachine LearningEngineeringStatisticsdebuggingPythonandAIContract
Key highlights
- Salary: $60–$120/hour
- Required: Master's or PhD in a related field
- Key benefit: Fully remote with flexible schedule
- Notable requirement: Strong machine learning experience
- Position type: Contractor, ~15 hours per week
- Compensation: Output-based, paid per task
Role overview
Senior ML Engineer role focusing on an AI training project that encompasses model development, training and inference systems, numerical computing, performance optimization, and Python. The position is coding-intensive, involving creating, solving, reviewing, and validating challenging machine learning engineering tasks, including implementing models, building reproducible workflows, optimizing memory or throughput, and debugging failures.
Responsibilities
- 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.
- 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.
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.
- This is a very coding heavy role. Candidates but have experience using coding agents with python in their workflow.
Nice to have
- 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.
Benefits
- Location: Global, fully remote
- Job Type: Contractor (~15 hours per week)
- Schedule: Flexible—you choose the hours and days you work, including weekends if desired
Additional details
- Senior ML Engineer (MSc. or PhD)
- Pay: $60–$120/hour
- 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.
- What You’ll Work On
- Required Qualifications
- Process
- Compensation Structure
- Start Timeline & Availability
- Originally posted on Himalayas
- Apply to the role and complete the screening questions.
- Complete an AI interview of approximately 30 minutes.
- Complete the hiring manager review.
- 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.
- 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.