Remote ML Research Scientist (Contract, Part-Time)

Synthires

United States

Remote

AUD 120,000 - 241,000

Part time

32 hours ago
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Benefits offered by this job

Health insurance

Job summary

Synthires is seeking an experienced ML Engineer (MSc. or PhD) for remote, part-time engagement. The role focuses on Python-based model development, training pipelines, and inference systems, with emphasis on reproducible workflows and coding agents.

Approximately 15 hours per week and flexible scheduling are offered. Immediate availability preferred; you will contribute to AI training projects, optimize performance, and debug complex ML workflows.

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
Coding agents

Education

Master's degree
PhD

Tools

Command-line tools

Job description

Synthires is seeking an experienced ML Engineer (MSc. or PhD) for remote, part-time engagement. The role focuses on Python-based model development, training pipelines, and inference systems, with emphasis on reproducible workflows and coding agents.

Approximately 15 hours per week and flexible scheduling are offered. Immediate availability preferred; you will contribute to AI training projects, optimize performance, and debug complex ML workflows.

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