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Machine learning engineer – research and implementation

Sydney
beBeeTransformers
Posted: 17 September
Offer description

Job Description

We are seeking a senior machine learning software engineer to drive forward both research and implementation. You'll work on production-grade transformer models, build simulation environments for synthetic data, and design scalable inference systems in collaboration with a high-performing team.

Our solutions involve visualising case timelines and extracting key insights from documents. We have a strong team working on cutting-edge models and infrastructure that transform how legal professionals interact with data.

The role requires experience training production transformer models and hands-on expertise with PyTorch and other ML frameworks. Taste, agency, and craft obsession are essential qualities for this position.


Key Responsibilities

* Design and implement scalable inference systems
* Build simulation environments for synthetic data
* Fine-tune and iterate on transformer-based models


Requirements

* Experience training production transformer models
* Hands-on expertise with PyTorch and other ML frameworks
* Taste, agency, and craft obsession

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