Staff Machine Learning Engineer - Integrations & Solutions Group (Remote AU)

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.

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 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.

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!

Role overview MYOB seeks an Engineering Manager specializing in Machine Learning for its Melbourne office. This leadership position involves guiding a team of engineers as they develop and enhance machine learning solutions that support MYOB’s products and services. What you will do Lead and mentor a group of machine learning engineers Oversee the design and rollout of scalable algorithms and models Encourage strong software development practices within the team Collaborate with cross-functional partners to clarify project objectives and support successful delivery Collaboration and impact This role sits at the intersection of engineering and product, ensuring that machine learning solutions meet both technical standards and business goals. The Engineering Manager will help shape the future direction of MYOB’s machine learning capabilities.

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.

Role overview Easygo is looking for its first Senior Machine Learning Operations Engineer (MLOps) to join the Data Science team in Melbourne, Australia. This position centers on building and maintaining scalable machine learning pipelines that support the company’s business goals. Collaboration and approach This role partners closely with data scientists and engineers to move machine learning projects forward. The team values hands-on problem-solving and open collaboration to deliver dependable ML systems. Main responsibilities Design, implement, and maintain end-to-end machine learning infrastructure, including development, deployment, and production monitoring. Manage cloud infrastructure and architecture for large-scale ML workloads, with a focus on Infrastructure as Code (primarily Terraform). Build and maintain CI/CD pipelines to support model integration, deployment, and continuous delivery. Develop and improve monitoring, alerting, and logging systems to ensure operational reliability.

Role overview The Principal Machine Learning Engineer at MYOB Group Limited plays a central role in driving the company’s machine learning initiatives from its Melbourne office. This position leads high-impact projects that use machine learning to enhance both business operations and customer experiences. Collaboration is a key aspect, as the role involves working alongside various teams and supporting the technical growth of less experienced engineers. The Principal Engineer is also responsible for ensuring the successful delivery of advanced ML solutions across the organization. What you will do Direct the design and execution of machine learning projects that align with business objectives Collaborate with cross-functional teams to spot and develop opportunities for machine learning improvements Mentor junior engineers, providing guidance and support for their technical development Supervise the rollout and integration of new machine learning solutions

Join Canva as a Senior Engineering Manager specializing in Backend and Machine Learning within the Context & Personalization team. In this pivotal role, you will lead a talented team of engineers, driving innovative solutions that enhance user experience through personalized features. Collaborate closely with cross-functional teams to define and execute the technical vision while ensuring the quality and scalability of our backend systems.Your leadership will empower engineers to excel, fostering a culture of continuous improvement and innovation. If you are passionate about building robust systems and mentoring talent, we want to hear from you!

Join our dynamic team at Egis Group as a Distribution Engineer, where you will play a pivotal role in enhancing the efficiency and reliability of our distribution networks. We are looking for a passionate and dedicated professional ready to tackle challenges in a fast-paced environment.

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 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.

Welcome to PEXA!At PEXA, we are redefining the property settlement process across Australia. Our groundbreaking digital platform simplifies the transactions of buying, selling, or refinancing homes, supporting over 20,000 individuals weekly in safely settling their properties.Since our inception in 2010, we have grown to a dedicated team of over 1,000 professionals spanning multiple continents. We continue to expand, innovate, and look ahead, driven by a collective of inquisitive creators and visionary thinkers. Now, we seek ambitious individuals like you to join our dynamic team.Your RoleAs a Senior Platform Engineer at PEXA, you will take on a pivotal leadership position within our Platform Engineering team, influencing the foundational infrastructure that supports our global technology ecosystem.You will be responsible for designing and implementing scalable, resilient, and secure cloud infrastructure within our AWS environments. Leveraging Infrastructure-as-Code and automation, you will enable consistent, high-quality delivery. You will spearhead the enhancement of our CI and CD pipelines, boosting velocity, reliability, and observability across the organization.Collaboration is vital in this role. You will work alongside software delivery teams, security experts, and observability specialists to elevate platform performance, security, and developer experience. Additionally, you will mentor and coach Platform Engineers and Graduates, influence architectural decisions, and contribute to our engineering standards and platform roadmap.Key ResponsibilitiesThis role focuses on driving the design, implementation, and ongoing enhancement of PEXA's global platform infrastructure.You will advocate for self-service capabilities that empower delivery teams, instill best practices for monitoring, alerting, backup, and incident response, and lead strategic initiatives around cloud cost optimization, architecture standardization, and technological modernizations.We seek a candidate who balances strategic insight with hands-on execution, embraces an AI-first approach, and actively fosters a positive engineering culture throughout our team.

Join RecordPoint as a Senior Platform Engineer and play a pivotal role in transforming the way organizations manage their data. Our innovative platform simplifies complex data challenges, enabling businesses to thrive in a digital-first world.As a Senior Platform Engineer, you will design and implement scalable solutions while collaborating with a team of talented engineers. Your expertise will contribute to enhancing our platform's performance and reliability, ensuring our clients receive top-notch service.

Role Overview Heidi Health is looking for a Senior Software Engineer to focus on our Commerce Platform. This position is based in Melbourne. The role centers on building scalable systems that improve user experience and support smoother business operations. What You Will Do Work closely with product, design, and other engineering teams to deliver new features and maintain core platform functionality. Design, implement, and support high-quality software solutions for commerce workflows. Contribute to decisions that shape both the technical direction and user experience of our platform.

Role overview Maincode is seeking a Distribution Engineer for Matilda in Melbourne. This position centers on designing and managing AI-driven systems to support how Matilda connects with its users. The focus is on building distribution strategies that enable growth, with a strong emphasis on automation and scalability. The team at Maincode works across research, engineering, and operations to develop solutions that move beyond manual processes. The aim is to create systems that operate independently and efficiently, allowing one person to accomplish what previously required a full team. What you will build AI agent pipelines to generate, test, and optimize ads, content, and messaging at scale Growth strategies for paid, organic, and owned channels Experimentation frameworks to improve performance across the user funnel Real-time feedback loops that connect to data sources and APIs for informed decision-making A self-improving, autonomous distribution engine

The Platform Workflows Team at Canva is looking for a Senior Software Engineer based in Melbourne. This position centers on building and improving the core features that power Canva’s platform. Role overview As a senior engineer, you will design, develop, and implement software solutions that strengthen platform capabilities. Collaboration with cross-functional teams is a key part of the job, ensuring that new features and improvements align with user needs and company goals. What you will do Work closely with engineers, designers, and product managers to deliver high-impact projects Contribute to the architecture and development of new platform features Focus on enhancing the user experience through well-crafted software solutions Team environment The team values creativity and open collaboration. This role offers the chance to work with modern technologies and contribute to the ongoing evolution of Canva’s platform.

Pluralis Research is at the forefront of Protocol Learning, pioneering the training of large models in a fully decentralized manner on consumer-grade devices linked through the internet. What was once deemed impractical has been transformed into reality; we have achieved remarkable milestones, including the successful training of an 8B llama model from scratch using devices located in geographically diverse areas. Although many fundamental research challenges have been addressed, Protocol Learning presents a host of new opportunities for innovation. If you are eager to contribute to the evolution of open innovation within the realm of large models, we invite you to join our dynamic team.Key ResponsibilitiesPublish in Top-Tier Venues: Engage with complex research challenges central to Protocol Learning. Your solutions could lead to foundational papers—solve these issues and share your findings with the world.What We're Looking ForResearch Excellence: A PhD in Machine Learning complemented by publications in leading conferences (NeurIPS, ICML, ICLR).Distributed ML Experience: Familiarity with distributed training techniques or federated learning.Implementation Skills: Proficient in programming with PyTorch, with hands-on experience in training models across multiple devices.Bonus: Previous experience with large language models, post-training techniques, or reinforcement learning.Compensation & BenefitsEquity-Heavy Package: We offer substantial equity for key technical contributors alongside a competitive base salary.Visa Sponsorship: Optional full visa sponsorship and relocation assistance available for positions in the US or Australia.Remote-First Culture: Enjoy a flexible working environment with team members located globally.Cutting-Edge Domain: Be part of an innovative intersection between AI and distributed systems, tackling some of the most complex research challenges in the field.Additional InformationWe exclusively hire within Australia and the United States. Visa sponsorship is limited to these regions.Applicants are required to have a professional level of English proficiency.

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