Machine Learning Engineer Internship 2026/27

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.

Join Canva as an Infrastructure Engineer Intern for the 2026/27 academic year! This is an excellent opportunity for aspiring engineers to gain hands-on experience in a dynamic and innovative environment. As part of our team, you will work closely with industry professionals to support the development and maintenance of our infrastructure, ensuring optimal performance and reliability.

ABOUT THE ROLE: Join IMC, where we thrive on innovation and stay ahead of the curve in a fast-paced financial environment. If you are excited about leveraging cutting-edge technology to tackle complex challenges, the IMC Hardware Engineering Internship is your opportunity to shine. As a Hardware Engineer, you won't just be writing code; you'll be at the forefront of identifying new opportunities, developing advanced technologies, and providing solutions. Our systems make millions of trading decisions daily in competitive markets, and our success stems from making quicker, smarter choices than our rivals. Our Hardware Engineers play a pivotal role in delivering impactful results. During your internship at IMC, you will be guided by a mentor who will support your professional growth and project work, alongside engaging in pair programming and code reviews. You will contribute to a significant project with a focus on Low Latency systems. Low Latency:Dedicated to developing ultra-fast systems that form the backbone of IMC's trading infrastructure, you will work on minimizing latency to enable high-frequency trading. Your primary programming languages will be SystemVerilog and C++, and you will collaborate with software, performance, and network engineers. WHAT YOU'LL DO: Engage in real projects that require complex problem-solving, while learning from experienced engineers and traders. Enhance your understanding of algorithm complexity, professional design principles, and fluent coding with our advanced FPGA technology. Gain skills in both hardware and software development. Utilize C++ and SystemVerilog for your development tasks. Collaborate in an innovative environment that values creativity and teamwork, fostering a culture of openness and idea-sharing. Deepen your knowledge of high-frequency trading. Build essential relationships within our trading and technology teams. Have the potential to secure a full-time position at IMC upon graduation.

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 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.

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.

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 Canva as a Security Engineer Intern for the 2026/27 cycle! This is an exciting opportunity to gain hands-on experience in a dynamic environment focused on enhancing our security measures. As part of our team, you'll work closely with experienced engineers to monitor, identify, and mitigate security risks while contributing to the overall safety of our platform.

Join Colliers Engineering & Design as a graduate or intern in New South Wales for the year 2026. This is a fantastic opportunity to kickstart your career in a dynamic and innovative environment. You will work alongside industry experts, gaining hands-on experience and developing your skills in engineering and design. Ideal candidates are those with a passion for engineering, a strong academic background, and a desire to learn and grow within a leading organization.

ABOUT THE ROLE: At IMC Trading, our Software Engineers do much more than just code; they are innovators who identify new opportunities, develop advanced technologies, and tackle complex challenges. Each day, our software influences millions of trading decisions in highly competitive markets worldwide, enabling us to outpace our competitors through smarter and quicker choices. As a Software Engineer Intern, you will contribute to impactful projects and make a tangible difference in our operations. In this role, you will receive guidance from a dedicated mentor who will support your project work and professional growth, along with opportunities for pair programming and code reviews. You will engage with real-world projects that add value to both developers and traders. Your project focus may include one of the following areas: Low Latency: You will work on the development and optimization of ultra-fast systems vital to IMC’s trading infrastructure, ensuring minimal latency to facilitate high-frequency trading. This will primarily involve C++ programming and collaboration with hardware, performance, and network engineers. Algorithmic Trading: Here, you will create and enhance systems that drive our trading strategies, developing algorithms for pricing and risk assessment, and building tools for analyzing and trading financial products using Java or Python. WHAT YOU’LL DO: Engage in real-world problem-solving and algorithm design while learning from experienced engineers and traders. Collaborate in a culture of creativity and innovation where teamwork is celebrated and knowledge sharing is encouraged. Deepen your understanding of high-frequency trading. Establish important relationships across our trading and technology divisions.

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 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 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 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.

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.

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.

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.

The Trade Desk is a leading global technology company dedicated to fostering a more transparent and accessible internet for all through principled and intelligent advertising solutions. Our platform processes over 1 trillion queries daily, demonstrating our capability at an unparalleled scale. Beyond our technology, we pride ourselves on cultivating an award-winning culture rooted in trust, ownership, empathy, and collaboration. We cherish the unique experiences and viewpoints that every individual contributes to The Trade Desk, and we are devoted to creating inclusive environments where everyone can express their authentic selves each day.Are you driven by a passion for tackling complex challenges on a large scale? Do you aspire to be part of a vibrant, globally-connected team where your work will significantly impact the development of a better media ecosystem? Join us and discover why Fortune magazine consistently ranks The Trade Desk among the finest small to medium-sized workplaces worldwide.

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.

Join Canva as a Software Engineer Intern for the 2026/27 cycle, where you will have the opportunity to work on innovative projects that shape the future of design. You will be part of a dynamic team that values creativity and collaboration, contributing to both frontend and backend development.As an intern, you will gain hands-on experience, enhance your technical skills, and receive mentorship from experienced engineers. This is an excellent chance to kickstart your career in software engineering within a vibrant, supportive work environment.