Remote AI/ML Research Engineer (Contractor)

Synthires

United States

Remote

AUD 120,000 - 239,000

Part time

45 hours ago
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Job summary

Synthires is seeking an experienced ML Engineer (MSc. or PhD) for a remote contractor role. The position focuses on developing and optimizing ML models, training pipelines, and inference systems using Python, with emphasis on reproducible workflows and memory/performance tuning.

This part-time engagement (~15 hours/week) offers flexible scheduling, immediate start, and output-based pay between $60 and $120 per hour for tasks meeting project specs.

Qualifications

  • Master's degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering, or a related quantitative field.
  • Strong professional or research experience in machine learning.
  • Practical proficiency in Python and experience using coding agents.
  • Ability to implement, debug, and validate complex machine learning workflows.

Responsibilities

  • Develop and validate machine learning models, training pipelines, and inference systems.
  • Implement model components, data pipelines, evaluation systems, and numerical methods.
  • Build reproducible workflows using Python and command-line tools.
  • Debug numerical and system-level issues and optimize memory usage and performance.
  • Create, solve, review, and validate challenging machine learning engineering tasks.

Skills

Python
Machine Learning
Data pipelines
Reproducible workflows
Performance optimization

Education

Master's degree or PhD in CS/ML/AI/Applied Math

Tools

Coding agents

Job description

Synthires is seeking an experienced ML Engineer (MSc. or PhD) for a remote contractor role. The position focuses on developing and optimizing ML models, training pipelines, and inference systems using Python, with emphasis on reproducible workflows and memory/performance tuning.

This part-time engagement (~15 hours/week) offers flexible scheduling, immediate start, and output-based pay between $60 and $120 per hour for tasks meeting project specs.

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