Remote ML Engineer: Research & Pipelines (Part-Time)

Synthires

USA

Remote

AUD 119.000 - 238.000

Teilzeit

vor 32 Stunden
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Synthires is seeking an experienced ML Engineer (MSc or PhD) for a remote, part-time contractor role. You will contribute to AI training projects focusing on model development, training and inference systems, and performance optimization. Strong Python skills and reproducible workflows are essential.

The role is 15 hours/week with flexible scheduling, and immediate onboarding tasks are expected within 24–48 hours. Worldwide remote work available, compensation hourly.

Qualifikationen

  • Master's degree or PhD in CS/ML/AI/applied mathematics or a related quantitative field.
  • Strong professional or research experience in machine learning.
  • Proficiency in Python and experience using coding agents.
  • Ability to implement, debug, and validate complex ML workflows.

Aufgaben

  • 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 ML engineering tasks.

Kenntnisse

Python
Machine learning
Coding agents
Workflow validation

Ausbildung

Master's or PhD in CS/ML/Math/Engineering

Jobbeschreibung

Synthires is seeking an experienced ML Engineer (MSc or PhD) for a remote, part-time contractor role. You will contribute to AI training projects focusing on model development, training and inference systems, and performance optimization. Strong Python skills and reproducible workflows are essential.

The role is 15 hours/week with flexible scheduling, and immediate onboarding tasks are expected within 24–48 hours. Worldwide remote work available, compensation hourly.

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