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Open nowPosted 493 days ago

Senior Software Engineer, Machine Learning

Mary Technology1 open role

Where
Sydney, New South Wales, Australia
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Your applicationOpen nowSenior Software Engineer, Machine LearningMary Technology · Sydney, New South Wales, Australia

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Mary Technology's own form.

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.8%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.2%30 days
This job: posted 493 days ago

The posting

About Us

At Mary Technology, we’re tackling one of the legal industry’s biggest challenges: Fact Chaos — the overwhelming disorder that arises from managing mountains of unstructured information.

We’re building intuitive, scalable tools that help lawyers spend less time untangling facts and more time on high-value thinking. From visualising case timelines to extracting key insights from documents, we’re reimagining what legal work looks like.

We’re backed by $2.7M in funding, growing over 30% MoM, and working with some of the largest law firms in Australia and 50+ mid-tier firms.

If you're excited by AI, legal tech, and solving real-world problems at scale—we want to hear from you.

The Role

We’re looking for a Senior Machine Learning Software Engineer to drive forward both research and implementation. You’ll be working on cutting-edge models and infrastructure that transform how legal professionals interact with data.

You’ll fine-tune and deploy production-grade transformer models, build simulation environments for synthetic data, and design scalable inference systems — all while working closely with a high-performing, curious team.

Your Impact

  • Fine-tune and iterate on transformer-based models — LLMs, embedding models, cross-encoders, and other components of modern LLM pipelines.
  • Build scalable, low-latency inference systems with monitoring, optimisation, and dynamic scaling.
  • Design synthetic data pipelines and Gym-style simulation environments to support model evaluation.
  • Lead experimental ML initiatives that drive product innovation and long-term value.
  • Help shape the foundational systems for Legal AGI.

What We’re Looking For

  • Experience training and iterating on production transformer models and LLM pipelines.
  • Hands-on expertise with PyTorch, high-level ML frameworks, and inference engines (e.g. vLLM, SGLang, TensorRT).
  • Profound grasp of the forefront of ML and LLMs, from weight quantisation to the nuances between MLA and GQA.
  • Self-motivated learner who stays current with ML research and contributes to team knowledge sharing.

What We Value

  • Agency – You move decisively through ambiguity and take full ownership.
  • Taste – You have a sharp eye for quality across research investments, product, and engineering.
  • Craft Obsession – You’re energised by solving hard problems and continuously levelling up your work.

Why Join Us?

  • Career growth – Join early and grow with us in a fast-scaling, high-impact environment.
  • Direct impact – Work closely with founders, legal experts, and engineers to shape the future of legal AI.
  • Equity – Share in our success with meaningful ownership in the company.
  • Purposeful work – Build technology that transforms how the legal industry works from the ground up.
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