Source Job

Australia

  • Build and improve data pipelines, dataset tooling, and platform components that support ML training and evaluation.
  • Partner with ML and applied science teams to translate training/evaluation needs into scalable platform solutions.
  • Implement quality controls (validation, monitoring, testing) to improve trust in data and pipeline outcomes.

Python TensorFlow PyTorch ML Frameworks Data

14 jobs similar to Machine Learning Engineer - Training & Dataset Platform (AU remote)

Jobs ranked by similarity.

Australia

  • Drive the design and evolution of AI-ready tools and APIs for LLM platforms.
  • Own and evolve evaluation frameworks that measure tool-use accuracy across platforms.
  • Shape Canva's agent architecture, making strategic technical decisions about intelligence location.

Canva is a design platform that enables users to create various visual content. They have offices in multiple locations in Australia and New Zealand, and they offer a flexible work environment.

Australia

  • Design and build scalable evaluation systems for machine learning models, including generative AI.
  • Collaborate with cross-functional teams to integrate evaluation into the ML lifecycle.
  • Improve experimentation velocity by enabling reliable and automated evaluation workflows.

Canva is a design platform that enables users to create a variety of visual content. They are a global company with offices in multiple locations including Sydney and Melbourne and they value a flexible and inclusive work environment.

Australia

  • Design and optimise AI-ready tools and APIs that enable LLM platforms to reliably interact with Canva's design capabilities.
  • Build and maintain evaluation frameworks to systematically measure tool-use accuracy across platforms.
  • Experiment with LLM orchestration and agent architectures – Develop Canva agents that any 3rd party provider can call to design quickly, efficiently and at scale.

Canva is a platform redefining how the world experiences design. They have a flagship campus in Sydney, with a second campus in Melbourne and co-working spaces in Brisbane, Perth, Adelaide, and Auckland, NZ.

Australia

  • Research, develop and deploy AI based solutions to automate content moderation and review of Canva’s content
  • Work with diverse stakeholders to guide the technical vision while being responsible for break-down and delivery of large projects
  • Design, develop and deploy solutions and hands-on software development – working closely with leads, designers, and product managers

Canva is a design platform that empowers users to create and share visual content. They have campuses in Sydney and Melbourne, with co-working spaces in other Australian cities, and aims for a culture of flexibility and empowerment.

Australia

  • Developing ranking and recommendation models that identify high-performing team designs.
  • Building brandification pipelines to conform to an organisation's brand guidelines.
  • Building layout extraction and understanding systems that parse Canva's design format.

Canva is a design platform that makes it easy for anyone to create professional-looking designs. They have a flagship campus in Sydney, a second campus in Melbourne, and co-working spaces in Brisbane, Perth, & Adelaide, and provides flexibility in how and where you work.

Australia

  • You’ll design, build, and maintain scalable systems for serving machine learning models in production.
  • You’ll optimise inference performance, including latency, throughput, and cost efficiency.
  • You’ll collaborate with ML researchers and engineers to productionise models

Canva is a design platform that enables users to create a variety of visual content. They have campuses in Sydney and Melbourne, with co-working spaces in other Australian cities, and promote a flexible work environment.

Australia

  • Build and evolve systems that enable agents to discover, invoke, and safely execute capabilities across Canva at scale.
  • Design tool schemas and definition patterns that maximize LLM tool selection accuracy and reliable invocation.
  • Build and operate evaluation pipelines that measure tool calling behavior in production and catch regressions.

Canva is a design platform that empowers the world to design. They have campuses in Sydney and Melbourne, and co-working spaces in other Australian cities, offering flexibility in how and where you work.

Europe

  • Completing AI training tasks such as analyzing, editing, and writing Python
  • Judging the performance of AI in performing Python-related prompts
  • Improving cutting-edge AI models

Prolific is building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

US

  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion

They are hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. It is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Canada

  • Design and maintain training systems that can process and learn from petabyte-scale multimodal datasets.
  • Identify and resolve bottlenecks in the training pipeline to maximize GPU utilization and reduce training time.
  • Work with the ML team to develop and refine neural network architectures suitable for autonomy tasks.

Serve Robotics is reimagining how things move in cities. Their personable sidewalk robot is their vision for the future; it's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. Their team is agile, diverse, and driven aiming to grow robotic deliveries from surprising novelty to efficient ubiquity.

Unlimited PTO

  • Be a data visionary, anticipating future data needs
  • Influence AI model training through high-quality data
  • Own data end-to-end: sourcing, structuring, scaling

Tavus is building the human layer of AI to make human-AI interaction as natural as face-to-face interaction. They are a Series A company backed by top investors, including Sequoia, Y Combinator, and Scale VC, fostering a collaborative team culture.

US Unlimited PTO

  • Design, build, and maintain ML infrastructure across training, evaluation, serving, and monitoring
  • Own data pipelines including generation, cleaning, validation, and versioning
  • Build and improve experiment tracking, orchestration, and reproducibility tooling

Quilter is helping electrical engineers save time and accomplish more by automating the tedious and time-consuming task of designing printed circuit boards (PCBs). Their small team is composed of experts in electrical engineering, electromagnetic simulation, ML/AI, and high-performance computing (HPC).

Europe US

  • Design and build training pipelines, fine-tuning workflows, and RL infrastructure.
  • Implement data ingestion and curation systems, inference services, and scalability and backend architecture.
  • Own the platform that turns models into production systems.

Fastino is building the next generation of LLMs, with a team of alumni from Google Research, Apple, Stanford, and Cambridge. Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb.

$190,000–$240,000/yr
US

  • Scope and lead ML initiatives end-to-end from identifying opportunities through production deployment.
  • Design, develop, and optimize ML models and AI systems for document processing and automation.
  • Build and maintain production ML pipelines that are robust, observable, and scalable.

Medallion is a healthcare technology company building a provider operations platform to eliminate administrative bottlenecks. They are one of the fastest-growing healthcare technology companies, with a mission to transform healthcare at scale and are backed by $130M in funding.