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Machine Learning Engineer

Metacognition Australia

Sep 19
Remote machine-learning Mid (2-5 yrs) Full-time Australia
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About the role

The Machine Learning Engineer will implement, optimize, and scale machine learning models and training pipelines while bridging the gap between experimental research and production systems. They will also develop infrastructure for data, simulation, and evaluation to support the engineering and research teams.

What they look for

Python Deep learning Cloud infrastructure PyTorch JAX Machine learning models Model training Simulation environments Synthetic data generation Evaluation pipelines Large-scale model training LLMs Vision-language models

Requirements

Candidates must have strong Python skills and hands-on experience training and deploying deep learning models on cloud infrastructure. Proficiency in PyTorch or JAX is required, along with a collaborative mindset and experience in a fast-paced research or startup environment.

Benefits

Remote working Collaborative environment Meaningful ownership Learning opportunities

Full description

Role Overview

This role sits within our Engineering/Products team, bridging research and production. The Machine Learning Engineer takes experimental research code and turns it into reliable, efficient, scalable systems, working closely with research scientists and the broader engineering organisation. Role scope will be calibrated to the experience and profile of the candidate.

Role scope will be calibrated to the experience and profile of the candidate.

Key Responsibilities

Engineering

  • Implement, optimise, and scale machine learning models and training pipelines.
  • Build robust data, simulation, and evaluation infrastructure.
  • Bridge research and production — taking experimental code to reliable, efficient systems.
  • Profile and optimise model performance across compute environments.
  • Develop and maintain early-stage demonstrators of research ideas.

Requirements

Essential

  • Strong Python skills.
  • Hands-on experience training and deploying deep learning models on cloud infrastructure.
  • Familiarity with PyTorch or JAX.
  • Genuine intellectual curiosity, collaborative mindset, and comfort working in a fast-paced research environment.

Preferred

  • Experience with large-scale model training (LLMs, vision-language models, or similar).
  • Familiarity with simulation environments, synthetic data generation, or evaluation pipelines.
  • Prior experience in a research lab, deep tech company, or AI-focused startup.
  • Track record of shipping research or products in a collaborative team setting.

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Why join Metacognition?

You’ll work alongside leading researchers, engineers and thinkers to build intelligent systems capable of learning, remembering and reasoning over time. We're an early stage startup with ambitious goals. Joining us will give you a genuine opportunity to shape both our technology and the company we become.

What you can expect

  • Competitive remuneration
  • Remote working
  • The opportunity to work with leading researchers, engineers and industry experts
  • A highly collaborative, fast-moving environment
  • Meaningful ownership and the opportunity to influence how we build and grow
  • Opportunities to learn, experiment and work on genuinely challenging problems

Metacognition is committed to creating an inclusive workplace where different perspectives, experiences and backgrounds are valued. We encourage applications from people with diverse backgrounds and experiences.

Interested?

If you’re excited by ambitious problems, intelligent systems and the opportunity to build something from the ground up, we’d love to hear from you.

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