Remote ML Engineer — Python, Training & Inference Systems

Synthires; New Zealand; Remote; NZD 110,000 - 207,000; Full time

Benefits offered by this job

Flexible schedule

Fully remote

Job summary

Synthires is seeking highly skilled Machine Learning Engineers to contribute to an AI training project focused on model development, training and inference systems, numerical computing, performance optimization, and Python‑based engineering. This is a highly coding‑intensive role.

Candidates should have hands‑on experience using Python and coding agents as part of their engineering workflow. Prior AI training experience is not required; strong ML engineering expertise and practical coding

Qualifications

• Master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or closely related quantitative discipline.
• Strong professional or research experience in machine learning.
• Practical proficiency in Python.
• Hands‑on experience using coding agents as part of a Python-based development workflow.
• Strong understanding of machine learning development, training, inference, and evaluation.

Responsibilities

• Develop, implement, and validate machine learning models and model components.
• Build and maintain training pipelines, inference systems, and supporting engineering infrastructure.
• Implement data pipelines, evaluation systems, and numerical computing workflows.
• Create reproducible programmatic workflows using Python and command-line tools.
• Optimize machine learning implementations for memory usage, throughput, and computational efficiency.
• Debug numerical, software, and system-level failures across training and inference workflows.
• Review and validate machine learning implementations against objective correctness and performance requirements.
• Develop challenging technical tasks involving model development, training, inference, optimization, and debugging.
• Use coding agents effectively within Python-based development workflows.
• Document technical decisions, implementation details, validation methods, and performance considerations.
• Review existing solutions and identify correctness, efficiency, reliability, or reproducibility issues.

Skills

Python

Coding Agents

Machine Learning

Numerical Computing

Performance Optimization

PyTorch

JAX

NumPy

SciPy

LLM Infrastructure

Reproducible Workflows

Education

Master’s degree or PhD in Computer Science / ML / AI / Applied Mathematics / Statistics / Engineering

Tools

PyTorch

JAX

NumPy

SciPy

vLLM

Hugging Face Transformers

Job description

Synthires is seeking highly skilled Machine Learning Engineers to contribute to an AI training project focused on model development, training and inference systems, numerical computing, performance optimization, and Python‑based engineering. This is a highly coding‑intensive role.

Candidates should have hands‑on experience using Python and coding agents as part of their engineering workflow. Prior AI training experience is not required; strong ML engineering expertise and practical coding