Senior Machine Learning Engineer - Agent Tools Interoperability (Remote AU)

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 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.

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.

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.

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 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 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.

Location : Sydney, Australia (Hybrid - 3 Days In Office)About Us At Relevance AI, we’re on a mission to revolutionize the AI workforce. Our goal is to empower teams to harness AI agents that think, act, and collaborate like seasoned experts.Our platform allows users to create and manage intelligent agents that streamline workflows, make decisions, and enhance collaboration. We proudly serve industry leaders including Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, enabling them to achieve operational excellence in marketing and sales.Supported by notable investors like Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, we successfully raised our Series B funding in April 2025 to further accelerate our growth and push the boundaries of agentic automation.With headquarters in San Francisco and Sydney, we embrace a hybrid work model that thrives on curiosity, collaboration, and swift execution. We are proud to have been recognized as LinkedIn’s #1 Startup in Australia in 2025. If you're eager to shape the future of AI, we want you on our team.The Role We are looking for exceptional Staff Engineers to join our AI team and innovate AI-powered products. This role is a high-impact applied AI position for engineers who are passionate about making a real-world difference. You’ll develop and deploy AI features that address customer needs across various industries, transforming cutting-edge agentic AI into reliable production systems.This is not a conventional ML or MLOps role. Your responsibilities will encompass the entire stack, from designing and building AI-powered workflows to creating tools and user experiences. Your tasks will involve prompt and context engineering, agent orchestration, backend services, APIs, infrastructure, and user-facing interfaces, often collaborating on the same project.You will work closely within a small, high-performing team of AI specialists, reporting directly to our co-founder, and engaging deeply with our diverse Product & Engineering teams. If you are excited about LLMs, multi-agent systems, and tackling complex AI challenges, this role is tailored for you.

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 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.

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.

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.

Join our innovative team as a Senior Research Scientist specializing in Machine Learning. We are searching for a skilled researcher with deep expertise in Code-oriented LLMs, Agentic Systems, Reinforcement Learning, and Reasoning Models. The perfect candidate will have a proven history of publishing groundbreaking research in top-tier conferences and journals such as NeurIPS, ICML, ICLR, and ACL. This role is based in Sydney, offering a hybrid working model that combines the flexibility of remote work with in-office collaboration.

Join Stripe as an Integration Engineer focused on the Australia and New Zealand market. In this role, you will be responsible for developing and enhancing integration solutions that empower businesses to leverage Stripe's payment technology effectively. You will collaborate closely with cross-functional teams to ensure seamless integration of our products into various systems, providing support and expertise to our clients.

Role Overview Canva is seeking a Senior Engineering Manager focused on Ecosystem Integrations and Solutions. This position is based in Sydney. What You Will Do Lead a skilled engineering team building integration solutions that expand and strengthen the Canva ecosystem. Guide strategic initiatives from conception through delivery, ensuring products align with user needs and company goals. Champion high standards for product quality and team performance. About the Team The Ecosystem Integrations and Solutions group develops features and connections that help Canva users work seamlessly across platforms and tools.

As a seasoned Solutions Strategy Architect, you will steer the sales process by setting a confident tone and defining the strategic direction from the outset of the engagement. This role entails direct interaction with customers and providing strategic insights to the sales team. Collaborating closely with sales, subject matter experts, and product management, your goal is to effectively position our cutting-edge technology.Your prowess in articulating the value of our technology to both business and technical stakeholders is essential for ensuring optimal customer satisfaction at every phase of the engagement.Key Responsibilities:Technical Pre-Sales Support: Offer technical assistance throughout the sales cycle, emphasizing the early (prospecting and discovery) and late (negotiation/defense of the technical win) stages.Technical Discovery: Conduct technical discovery sessions to identify customer challenges and glean a thorough understanding of their desired outcomes through collaboration with stakeholders.Solution Validation: Incorporate brief demonstrations to validate the proposed solutions' trajectory.Value Proposition: Present the technical value proposition of CyberArk’s machine identity solutions at an executive level, clearly illustrating how they address specific customer issues and bridge the gap between current and future states.Influence Solutions Engineering Activities: Provide key insights that guide subsequent solutions engineering activities, including comprehensive demos, deep-dive presentations, proof-of-value (POV), and proof-of-concept (POC) engagements.Content Creation: Generate high-quality, tailored technical content, including detailed solution diagrams and presentations that effectively communicate the value and functionality of CyberArk’s machine solutions.Feedback Communication: Convey customer feature requests, requirements, issues, and overall market feedback to the product and solutions teams.Evangelism: Assist CyberArk’s evangelism initiatives through formal activities such as webinars, seminars, lunch-and-learn sessions, and industry trade shows, as well as informal engagement with customers, partners, and social channels.Product Mastery: Sustain an in-depth understanding of CyberArk’s machine identity offerings and strive to fully comprehend common customer technology stacks, challenges, and competitive solutions.#LI-HYBRID#LI-ZL1

ABOUT THE ROLE:TransPerfect, a global leader in artificial intelligence, software and website localization, Globalization Management Systems (GMS) software, and enterprise-level professional translation services, is seeking a vibrant and driven individual to join our Content Solutions Team as a Content Solutions Engineer focusing on the Asian market.We are on the lookout for a candidate with expertise in AI/Machine Translation (MT) and GlobalLink to enhance our team.In this multi-functional and client-facing role, you will:Provide Subject Matter Expertise (SME) in Artificial Intelligence (AI), Machine Translation (MT), and Generative AIDeliver strategic pre-sales support across the GlobalLink suiteEngage in technical consulting and solution architectureCollaborate with key account and program management teamsThe ideal candidate will excel at merging AI innovation with enterprise localization technology.As a Content Solutions Engineer, you will:Act as the AI/MT expert during pre-sales engagementsServe as a technical advisor and solution consultant for the GlobalLink product suiteWork closely with both prospective and existing clients to:Gather requirementsIdentify opportunities for automation and optimizationDesign AI-powered and GlobalLink-enabled solutions to tackle complex global content challengesYou will also play a vital role in supporting strategic client relationships, ensuring the successful adoption of AI/MT capabilities and GlobalLink platform solutions.KEY RESPONSIBILITIES:Expertise in AI & MT:Act as the SME for sales opportunities involving AI, MT, and Generative AILead presentations, workshops, and technical discussions for clientsEvaluate LLM and MT options for clients and internal productionDevelop AI-driven workflows aligned with client use casesSupport for GlobalLink Solutions:Assist in pre-sales activities across the GlobalLink suite, including workflow automation, integration, and optimization.

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.