Senior Machine Learning Engineer - Inspire & Create (AU Remote)

Join Canva as a Senior Machine Learning Engineer specializing in Content ML. In this pivotal role, you will leverage your expertise to develop innovative machine learning solutions that enhance user experiences and content creation. Collaborate with cross-functional teams to drive the future of design technology.

Join Canva as a Senior Machine Learning Engineer specializing in Content ML. In this dynamic role, you will leverage your expertise to enhance our content creation tools, driving innovation and improving user experience. You will work collaboratively with cross-functional teams to develop and implement advanced machine learning models that empower our users to create stunning designs effortlessly.

Join our innovative team at Canva as a Senior Machine Learning Engineer specializing in Content ML. In this role, you will leverage your expertise in machine learning to enhance our content generation capabilities, making design accessible to everyone. You will work closely with our data scientists and product teams to implement cutting-edge ML algorithms and drive impactful results.As a remote position, you will have the flexibility to work from anywhere in Australia while contributing to exciting projects that reach millions of users worldwide.

Join Canva as a Senior Machine Learning Engineer specializing in Content ML. In this role, you'll have the opportunity to leverage your expertise in machine learning to develop cutting-edge solutions that enhance user experiences across our platform. Collaborate with a talented team to innovate and drive projects from conception through to execution.

About BuildkiteAt Buildkite, we are dedicated to empowering developers worldwide by revolutionizing software delivery. Our platform is designed to be fast, reliable, secure, and scalable, catering to the needs of high-growth tech companies such as Airbnb, Shopify, Canva, PagerDuty, Lyft, and Pinterest.Job OverviewAs the pioneering Machine Learning Engineer on the Buildkite Test Engine team, you will take charge of the entire ML lifecycle. This includes collaborating with customers to create impactful products, as well as designing, deploying, and monitoring production-grade models at scale. Your contributions will play a crucial role in minimizing developer friction and enhancing confidence in software delivery for engineering-led organizations. You will develop robust inference and retraining pipelines while ensuring models are observable, cost-effective, and impactful. This role offers high autonomy, allowing you to define how machine learning enhances the Test Engine and significantly improves the developer experience. About the TeamThe Test Engine team is committed to making test suites more efficient and reliable, thus alleviating friction in developers' daily tasks and enhancing their productivity. We achieve this by identifying and isolating flaky tests, providing tools to parallelize test suites to reduce build time, and offering insights into suite performance trends over time, along with the capability to analyze individual test executions. What You’ll DoEngage directly with Buildkite customers to fully understand their challenges and collaborate on AI/ML product solutions.Design, construct, and assess models and various strategies for their application.Influence architectural decisions regarding the data stack, emphasizing scalability, cost efficiency, and maintainability.Implement observability metrics for production models, including latency, throughput, prediction drift, and data quality during inference.Guide product direction by defining the areas where machine learning can distinctly enhance our product—and identify where simpler solutions may suffice.

At Neara, we are pioneering the future of energy resilience by harnessing advanced machine learning technologies. Imagine having the capability to test an entire power grid against the fury of a hurricane before the storm even approaches. This vision is a reality we are making possible.We specialize in creating engineering-grade, physics-enabled digital twins of electricity grids across four continents, enabling asset owners to tackle their most significant challenges and implement effective solutions over vast infrastructures.Through simulations of extreme weather events and structural stress at a network-wide scale, we empower the world’s largest utilities to identify risks, optimize investments, and contribute to a more robust global energy future.Our team is a collective of innovative minds dedicated to making a real-world impact, utilizing AI and machine learning to enhance everything from data classification to intricate scenario analysis. We have cultivated a unique culture where innovation thrives, and every team member takes ownership of our mission. We seek intelligent, creative individuals to help us expand our influence across the globe.As a Senior Machine Learning Engineer, you will design and develop machine learning models that facilitate the digitization of real-world infrastructure, leveraging diverse data sources including LIDAR, imagery, and vector data. You will engage in every phase of the ML lifecycle, from data collection and quality assurance to model training and monitoring. Your role will involve deep data analysis to identify valuable problems to solve with machine learning and establishing strategies for those solutions.You will remain abreast of best practices in data management and MLOps, integrating the latest advancements in machine learning into our platform to keep it at the forefront of the industry. Additionally, you will mentor junior engineers, promoting a collaborative and innovative work environment that fosters continuous learning and growth.At Neara, we value your insights, support your professional development, and celebrate your successes. If you are driven and results-oriented, we would love to connect with you.Your Contributions Will Include:Creating methodologies to accurately generate electric networks from imperfect data using deep learning and traditional ML techniques.Developing and refining training pipelines to minimize manual effort and expedite the idea-to-evaluation process.Scaling model deployment for various problems with distinct characteristics while shortening the time to production.

Join Us as a Senior Machine Learning EngineerPluralis Research is at the forefront of innovative research in Protocol Learning. Our mission is to enhance the training of foundation models through collaborative, decentralized methods, allowing multiple participants to contribute without needing access to a complete model. We aim to create community-owned models with sustainable economic frameworks.We are seeking experienced Senior and Staff Engineers with over 5 years of expertise in distributed systems and large-scale machine learning training. You will play a pivotal role in developing a groundbreaking substrate for training distributed ML models that function effectively over consumer-grade internet connections.

Join Canva as a Senior Machine Learning Engineer and become part of a dynamic team dedicated to transforming the way people communicate visually. In this role, you will have the opportunity to inspire creativity and innovation while working remotely from Australia.

Buildkite’s Continuous Integration platform supports leading engineering teams worldwide, helping deliver software to over a billion users each day. Role overview The Staff Machine Learning Engineer will join the Test Engine team, focusing on the technical direction and hands-on development of machine learning solutions. This role centers on building models and infrastructure for predictive test selection, determining which tests matter most for a given code change. The position is based in the ANZ region. Staff Engineers at Buildkite act as technical leaders, designing and scaling systems while supporting and mentoring other engineers. In this position, you will be the primary ML expert, guiding the technical approach to test selection and laying the groundwork for broader machine learning efforts across the company. About the Test Engine team The Test Engine team helps engineering teams speed up software delivery by improving visibility and control over their test suites. Current features include real-time flaky test detection and management, intelligent test splitting across parallel jobs, and performance analytics that work with any CI/CD platform, not just Buildkite Pipelines. The Test Engine processes billions of test runs, providing deep insight into test suites, codebases, and their relationships. The next step is to use this data to answer a key question: which tests are most likely to fail when a specific code change is made? The industry is moving away from running entire test suites for every change. Teams that can shift to a faster, more targeted inner loop, running only the most relevant tests, will deliver value more quickly. For many Buildkite customers, this speed is vital in highly competitive markets where fast feedback cycles make a difference. What you will do Shape and guide the technical direction for machine learning within the Test Engine team Develop models and infrastructure for predictive test selection based on code changes Act as the lead ML expert, setting frameworks for future machine learning initiatives Collaborate with engineers to design, build, and scale systems that support smarter testing workflows

Join Canva as a Senior Machine Learning Engineer in our AI Enablement team, where you will play a crucial role in enhancing our AI capabilities. This is an opportunity to work remotely within Australia, collaborating with talented professionals to develop innovative machine learning solutions that empower our users.

OverviewAt Pluralis Research, we are at the forefront of Protocol Learning, innovating a decentralized approach to training and deploying AI models. This revolutionary method democratizes access to AI, allowing individuals to contribute to model training rather than relying solely on large corporations. By aggregating computing power from a diverse range of participants and incentivizing their contributions, we are paving the way for a truly collaborative and open AI ecosystem.We are seeking a skilled ML Training Platform Engineer to design, develop, and enhance the foundational infrastructure that supports our decentralized machine learning training platform. You will be responsible for key systems that encompass infrastructure orchestration, distributed computing, and services integration, facilitating ongoing experimentation and large-scale model training.

Join Canva as a Senior Machine Learning Engineer and be part of a team that is passionate about using technology to inspire creativity. In this role, you will leverage advanced machine learning techniques to develop innovative solutions that enhance our design platform. Collaborate with cross-functional teams to translate complex data into actionable insights and drive product improvements.

About UsAt Entain Australia & New Zealand, we are boldly reshaping the sports, racing, and entertainment sectors, redefining how our customers engage with their favorite brands.As a part of a global leader operating across over 40 nations and employing nearly 30,000 individuals, we proudly house renowned brands in Australia and New Zealand, including Ladbrokes, Neds, TAB, and Betcha.Our mission at Entain ANZ is to innovate the future of gaming and sporting entertainment through creativity, technology, and storytelling, crafting experiences that resonate with millions of fans.Your RoleJoin our Data Science and Engineering teams, committed to developing intelligent, data-driven products that are revolutionizing the gaming and wagering landscape in Australia. Your contributions will help deliver personalized, reliable, and responsible experiences to our customers.With millions of users engaging with our platforms, the machine learning solutions you create will be deployed at scale, where performance, reliability, and real-world impact are crucial.As a product-driven organization, we emphasize leveraging data and AI to enhance customer experiences and foster improved business outcomes. Machine Learning Engineering is integral to this effort, facilitating teams in deploying models into production, refining our ML systems, and ensuring our solutions are scalable, reliable, and well-governed across diverse use cases.A Day in Your LifeAssist in developing and refining ML pipelines, from data preparation to deployment.Support the deployment and monitoring of models within production environments.Collaborate with Data Scientists and Engineers to translate innovative ideas into scalable solutions.Help automate workflows throughout the ML lifecycle (training, evaluation, and retraining).Diagnose and troubleshoot model or pipeline issues, identifying root causes.Contribute to the development of internal tools, APIs, and reusable ML components.Engage in code reviews and team ceremonies within an Agile framework.Learn and implement best practices in MLOps, cloud technologies, and production engineering.Your SkillsFoundational experience in machine learning, software engineering, or data engineering.Working knowledge of Python and SQL, with a passion for writing clean and maintainable code.Understanding of the ML lifecycle, from experimentation to production.Familiarity with cloud platforms or a strong eagerness to learn (AWS, GCP, Azure, Databricks).Experience with tools such as Git, Docker, or CI/CD pipelines.A curious mindset combined with strong problem-solving skills.Comfortable working collaboratively within cross-functional teams.Excellent communication skills and a desire to learn from others.Life at EntainAt Entain, we cultivate an environment that fosters innovation and personal growth. Join us in our mission to create extraordinary experiences in the world of gaming and entertainment!

Join Canva as a Senior Machine Learning Engineer specializing in Agent Tools Interoperability, where you will play a pivotal role in enhancing our AI capabilities. You will collaborate with cross-functional teams to design and implement advanced machine learning solutions that empower our users globally. This is an exciting opportunity to leverage cutting-edge technology and contribute to a product that inspires creativity.

Join Canva as a Senior Machine Learning Engineer in our AI Enablement team, where you'll leverage advanced machine learning techniques to drive innovation and improve user experience. You will collaborate with cross-functional teams to develop cutting-edge solutions that enhance Canva’s offerings. This is a fantastic opportunity for a passionate engineer looking to make an impact in the AI space.

Join Canva as a Senior Machine Learning Engineer where you will play a pivotal role in shaping innovative solutions that empower users to unleash their creativity. Collaborate with a team of talented engineers and data scientists to design, develop, and implement cutting-edge machine learning models that enhance user experience and drive engagement.

Join Canva as a Staff Machine Learning Engineer within our Integrations & Solutions Group. This remote role offers you the opportunity to work on innovative machine learning projects that impact our global user base. You will collaborate with cross-functional teams to enhance our integration capabilities and develop robust solutions that leverage machine learning technologies.

Canva is hiring a Staff Machine Learning Engineer for the Product Insight Enablement team. This position is fully remote and open to candidates located anywhere in Australia. The team’s mission centers on improving product analytics and delivering insights that influence product direction and enhance the user experience. Role overview This role focuses on using machine learning to support product teams with data-driven insights. Collaboration with cross-functional groups is a key part of the work, ensuring that analytics efforts align with product goals. What you will do Partner with teams across Canva to identify where machine learning can add value within product analytics. Use advanced machine learning techniques to analyze data and uncover insights that guide product decisions. Build and maintain scalable models and algorithms that help product teams make informed choices. Transform complex data into clear, actionable information that improves the user experience. Location This is a remote role for candidates based in Australia.

toloka-ai seeks a Freelance Machine Learning Engineer to join ongoing artificial intelligence and machine learning projects. This contract role is remote and open to candidates based in Queensland, Australia. Key responsibilities Contribute to machine learning and AI initiatives alongside a distributed team Use technical expertise to address practical challenges Work closely with colleagues to develop and deliver technology solutions Location details This freelance position is fully remote for those residing in Queensland, Australia.