Senior Security Engineer - Software & Platform

Join our dynamic team at Canva as a Senior Machine Learning Engineer, focusing on Agent Tools Interoperability. In this pivotal role, you will design, develop, and optimize machine learning models that enhance the functionality and integration of tools within our platform. You will collaborate closely with cross-functional teams to innovate and deliver exceptional user experiences.

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 the future of design technology through innovative machine learning solutions. Collaborate with a talented team to create cutting-edge algorithms that enhance user experience and drive engagement. Your expertise will be instrumental in transforming complex data into actionable insights, enabling us to make design accessible to everyone.

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.

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 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.

MYOB Group Limited is hiring an Engineering Manager with a focus on Machine Learning for its Sydney office. This position leads a team responsible for designing and refining machine learning models and algorithms. Role overview The Engineering Manager will guide a group of engineers dedicated to machine learning projects. The work centers on building effective models and continuously improving algorithms to support MYOB’s goals. What you will do Provide direction and support to engineers working on machine learning initiatives Oversee the development and ongoing improvement of machine learning models and algorithms Foster a collaborative and high-performing team environment

Join Canva as an Engineering Manager specializing in cross-platform and machine learning technologies within our Edge AI team. In this fully remote role, you will lead a talented group of engineers, driving innovative solutions that enhance user experiences across multiple platforms. From overseeing project timelines to fostering an inclusive and collaborative team culture, your leadership will be pivotal in shaping the future of our AI initiatives.

MYOB seeks a Lead Principal Machine Learning Engineer to join the team in Sydney. This position plays a key role in shaping the direction of machine learning initiatives that drive the company’s data-focused objectives. The role blends technical expertise with leadership responsibilities. Key responsibilities Oversee machine learning projects from initial concept to final delivery Mentor and guide engineers and data scientists within the team Use advanced algorithms and analytics to develop solutions that enhance MYOB’s services Promote innovation by identifying new opportunities for data and machine learning across the business Location This role is based in Sydney, Australia.

Join Canva as a Machine Learning Engineer Intern for the 2026/27 academic year. In this role, you will work alongside talented professionals to enhance our machine learning capabilities and contribute to innovative projects that drive the future of design technology. This is an exciting opportunity to gain hands-on experience in a dynamic and collaborative environment.

About Akuna: Akuna Capital is a pioneering trading firm that emphasizes teamwork, advanced technology, and data-driven automation solutions. We excel in providing liquidity as an options market maker, committed to delivering competitive quotes for both buying and selling. To achieve this, we design and implement our own low-latency technologies, trading strategies, and mathematical models. At Akuna, we embrace a flat organizational structure where the best ideas triumph. Founded by Andrew Killion and his partners in Sydney, Akuna opened its first office in 2011 in Chicago, the heart of the derivatives industry. Today, we proudly operate additional offices in Sydney, Shanghai, Singapore, and London. Your Role as a Quantitative Researcher: We are seeking a skilled Quantitative Researcher specializing in Machine Learning to join our Quantitative Trading and Research team, comprised of mathematicians, statisticians, and technologists. This team scientifically creates trading strategies by integrating quantitative expertise with a sophisticated understanding of derivatives and financial markets. In this role, you will: Develop trading strategies utilizing statistical and machine learning algorithms. Design, conduct, and analyze experiments to deepen your understanding of derivatives and financial markets. Establish metrics for evaluating strategy execution and perform post-trade analysis. Create and implement optimization algorithms for portfolio construction. Develop quantitative models that describe market behavior. Advance current initiatives and explore new research opportunities.

Neara develops machine learning solutions that support the energy sector by creating digital twins of electricity grids. These models help utility companies simulate weather impacts, assess structural stress, and identify risks early, leading to smarter investments and stronger energy infrastructure worldwide. The team focuses on real-world applications of AI and machine learning, tackling complex infrastructure challenges. Professionals at Neara contribute to projects ranging from data classification to scenario analysis, all with a shared commitment to creative problem-solving and innovation. Neara’s expertise lies in geospatial AI, integrating LiDAR, imagery, and large-scale spatial data to address infrastructure issues. The company’s research-driven approach relies on solid operational systems to manage complexity and foster ongoing progress. Role overview The Technical Program Manager for Machine Learning Innovations, based in Sydney, will coordinate the systems and workflows that support model development. This role bridges ML research, engineering, data operations, and computing infrastructure. Responsibilities include translating scientific objectives into clear, actionable plans and ensuring their effective execution. A central focus is unifying data, computing, and experimentation systems to build a cohesive ML development environment that advances model performance. Who will thrive in this role Comfortable engaging with researchers about model training and machine learning dynamics Skilled at improving and refining operational systems that support ML work Able to connect technical vision with practical delivery Location This position is based in Sydney.

At Neara, we are pioneering the future of energy resilience by leveraging advanced machine learning to create engineering-grade, physics-enabled digital twins of electricity grids across four continents. Our innovative approach allows asset owners to anticipate challenges and develop practical solutions for vast infrastructures spanning millions of kilometers.Imagine stress-testing an entire power grid against a hurricane before the storm even approaches. This is the impact of our work, as we empower major utilities to identify risks, optimize investments, and enhance the reliability of the global energy landscape.Our dynamic team comprises brilliant minds dedicated to making a real-world impact through AI and machine learning, from data classification to complex scenario analyses. At Neara, we foster an environment where creativity and innovation flourish, inviting smart and imaginative individuals to join us in scaling our positive influence worldwide.About the RoleWe are looking for a Senior Software Engineer to join one of our engineering groups, focusing on:Digitisation: Generate digital twins from diverse data sources using machine learning and algorithms, while developing tools to swiftly address data extraction issues.Platform: Create APIs to maximize data utility on the Neara platform, collaborating with clients and teams to define necessary abstractions.Design: Analyze the feasibility of digital twins or prospective designs, including load assessments on infrastructure and resilience evaluations against extreme weather.What You Will DoIn the Digitisation team, you will:Develop and assess improvements in algorithms and machine learning for digital twin extraction.Enhance monitoring systems to detect inefficiencies in digital twin extraction processes, such as distribution drift and misconfigurations.Create tools for rapid resolution of challenges arising from automated solutions.

Join Canva as a Senior Engineering Manager in our Context & Personalisation team, where you'll lead innovative projects that enhance user experience through machine learning and backend development. You will be responsible for guiding a talented team of engineers, mentoring them to achieve their best work, and collaborating closely with product and design teams to drive the vision of our personalization strategies.Your role will include shaping the technical direction of our products, ensuring high standards of coding practices, and maintaining a strong focus on performance and scalability. If you are passionate about leading engineering teams and have a strong background in backend technologies and machine learning, we invite you to apply.

Join Airwallex as a Senior IT EngineerAre you ready to take your career to the next level with one of the leading unified payments and financial platforms? Airwallex delivers innovative solutions that empower over 200,000 businesses globally, including industry giants like Brex, Rippling, and Qantas. Our cutting-edge technology and proprietary infrastructure enable seamless management of business accounts, payments, spend management, and treasury services.Founded in Melbourne, our diverse team of over 2,000 trailblazers spans 26 offices worldwide. With a valuation of US$8 billion, we are backed by prestigious investors such as T. Rowe Price and Visa. At Airwallex, you'll have the opportunity to engage in groundbreaking projects that shape the future of global banking.If you are passionate about making a real impact and being part of a collaborative environment, we invite you to apply and help us build what’s next.

About Future Secure AI Future Secure AI builds advanced artificial intelligence solutions for real-world challenges across multiple industries. The company values bravery, rigor, and curiosity, with a leadership team that encourages open communication and professional growth. Co-developed with major financial institutions, Future Secure AI combines startup agility with enterprise backing. The focus: developing agentic AI Co-workers, autonomous systems that help organizations work smarter and faster. Employees work closely with C-suite leaders and international partners to create AI Co-workers that think, act, and collaborate. The goal is to transform how people and AI work together. Role Overview: Senior AI Engineer in Data Science This Senior AI Engineer role centers on building agentic AI Co-workers, multi-step reasoning systems, and autonomous workflows for enterprise use. The position involves designing and implementing advanced large language model (LLM)-driven agents that plan, make decisions, and act independently. Safety, reliability, and scalability remain top priorities throughout development. The Senior AI Engineer helps set the technical direction for the AI platform, mentors junior engineers, and ensures systems deliver strong results in complex environments. The work directly shapes how humans and AI collaborate. Key Responsibilities Design, develop, and deploy agentic LLM-driven systems with planning, tool-use, workflow orchestration, and reasoning features. Apply machine learning and advanced analytics to improve decision-making for autonomous AI Co-workers. Enhance multi-step reasoning, context management, and system responsiveness. Locations Sydney, Melbourne, Brisbane

Pluralis Research is pioneering advancements in Protocol Learning, focusing on training sophisticated models in a completely decentralized manner using small consumer-grade devices interconnected via the internet. Despite initial skepticism regarding its feasibility, our team has achieved remarkable progress, including the successful training of an 8B llama model from the ground up with devices located in diverse geographical areas. While we have addressed many core research challenges, the journey into Protocol Learning reveals a plethora of new opportunities for innovation. If you are passionate about influencing the trajectory of open innovation in the realm of large models, we invite you to be a part of our team.

Anduril Industries is a pioneering defense technology firm dedicated to revolutionizing military capabilities for the U.S. and its allies through cutting-edge technology. By integrating the innovation, expertise, and business practices of the 21st century's leading companies, we are reshaping the design, construction, and deployment of military systems. Our advanced family of systems is powered by Lattice OS, an AI-driven operating system that transforms countless data streams into a real-time, 3D command and control center. As we navigate a new era of strategic competition, Anduril is committed to delivering state-of-the-art autonomy, artificial intelligence, computer vision, sensor fusion, and networking technology to the military at an unprecedented pace. In Anduril Australia, we are at the forefront of developing unmanned maritime and aerial systems that utilize unsupervised autonomy, providing long-endurance, multi-mission capabilities for our clients. We are seeking a Senior Machine Learning Engineer who possesses extensive experience in developing, testing, validating, and deploying machine learning-based sensor processing and the associated technical toolchains. This role offers the opportunity to leverage your expertise in rapidly architecting, designing, delivering, supporting, and evolving next-generation autonomous vehicles throughout their entire product lifecycle.