Senior Frontend Engineer - KICK Creator Tools & Engagement

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 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.

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's Integrations & Solutions Group as a Staff Machine Learning Engineer, where you'll leverage your expertise to drive cutting-edge solutions in the realm of machine learning. Collaborate with a dynamic team dedicated to enhancing user experiences through innovative integration strategies. Your role will involve designing, implementing, and optimizing machine learning models that power our platform, ensuring that we remain at the forefront of 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.

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 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.

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.

Role Overview / ImpactThis position focuses on enhancing the reliability, usability, and integration of essential internal tools that empower our engineering teams. You will be pivotal in optimizing the underlying infrastructure supporting these tools, concentrating on scalability, security, and driving automation initiatives to improve governance across the organization.Your contributions will significantly influence developer productivity, aiming to save engineers substantial time each week through streamlined workflows. By designing robust architectures and implementing resilient solutions, you will ensure our internal systems operate with fault tolerance and high efficiency.Team Dynamics & CollaborationYou will become part of the Tooling Team, a distributed group of five members located across Melbourne, Sydney, and Wellington, focused on achieving specific productivity objectives. The team works in a fully hybrid model, maintaining regular collaboration while enjoying the flexibility to tailor their work environment to their individual preferences.Current Team ProjectsImplementing LaunchDarkly's Relay Proxy using Terraform, Kubernetes, and AWS to bolster infrastructure resiliency.Integrating various data sources within DX by developing utilities that process and transform data via AWS Lambda and .NET.Enhancing CI/CD pipelines with GitHub Actions to foster more efficient deployment workflows.Supporting and integrating industry-standard tools like SonarQube, LaunchDarkly, and Playwright to elevate the developer experience.Work EnvironmentThis role is available in either Melbourne or Sydney. We promote a fully hybrid work environment, encouraging team members to come into the office occasionally while supporting a flexible working style that suits individual needs.Desired QualificationsStrong understanding of C# and the ability to work independently to establish technical direction.Experience with cloud infrastructure, ideally AWS, and deploying infrastructure using Infrastructure as Code methodologies, preferably Terraform.Experience in supporting or building CI/CD pipelines, especially with GitHub Actions.A natural inclination towards automation and a passion for enhancing governance through code.A proactive approach to problem-solving and a commitment to continuous improvement.

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

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 Us at AirwallexAt Airwallex, we are revolutionizing the global financial landscape with our innovative payment solutions. Our integrated platform empowers over 200,000 businesses, including industry leaders like Brex, Rippling, Navan, Qantas, and SHEIN, to manage their finances effortlessly on a global scale.Founded in the vibrant city of Melbourne, our diverse team of over 2,000 talented professionals spans across 26 offices worldwide. With a valuation of US$8 billion and backing from prominent investors such as T. Rowe Price, Visa, Mastercard, and Sequoia, we are at the forefront of creating the future of global banking. If you are eager to tackle ambitious challenges and make a substantial impact in the tech industry, we invite you to be part of our journey.What We Look ForWe seek dynamic individuals who possess the energy of a founder and are driven to create meaningful change. You should have solid expertise in your field, coupled with a strong alignment with our mission and operating principles. You thrive in fast-paced environments, are curious, and make informed decisions based on fundamental principles, balancing speed with thoroughness.We value collaboration and humility; your ability to transform innovative concepts into tangible products is crucial. Leverage AI to enhance productivity and expedite problem-solving. Here, you will face complex challenges alongside exceptional colleagues while advancing your career as we shape the future of global finance.Your RoleAs a Senior Software Engineer focusing on internal AI tools, you will play a vital role in safeguarding over $150 billion in payments for more than 150,000 companies and thousands of employees.You will collaborate with various internal teams to identify impactful projects, such as developing automation tools, managing terabyte-scale log pipelines, and utilizing AI to optimize operational efficiency. We encourage exploration of diverse technologies and solutions, allowing you to mentor junior engineers and contribute to the growth of our prestigious engineering team.

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.

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!

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

Join MYOB, a premier business management solution provider, as a Senior Machine Learning Engineer. We empower businesses across Australia and New Zealand by providing innovative tools for success. In this key role, you will be at the forefront of AI innovation, developing cutting-edge machine learning systems that transform the way small businesses operate. Collaborate with our Data & AI Team to craft AI-driven solutions that enhance efficiency and drive business growth. Your expertise will help shape the future of work while making a significant impact on countless businesses.

Who We AreAt Heidi, we believe that healthcare deserves a harmonious approach—one that fosters continuous and deeply human care. We are pioneering an AI Care Partner that collaborates with clinicians to achieve this vision.Our diverse team, consisting of doctors, engineers, designers, researchers, and creatives, is dedicated to creating tools that allow clinicians to concentrate on what truly matters: their patients.In just 18 months, Heidi has reclaimed over 18 million hours for healthcare professionals, facilitating 73 million patient visits across 116 countries. Currently, Heidi powers more than two million patient visits weekly on a global scale.With nearly $100 million in funding, we are expanding into the US, UK, Canada, and Europe, collaborating with leading health systems like the NHS, Beth Israel Lahey Health, and Monash Health.The RoleAs a Senior AI Model Engineer on the Model Platform team, you will work closely with our Engineering Manager. You will serve as a technical leader, addressing critical challenges related to our models.Your mission is to propel significant advancements in our model capabilities, spearheading research and development in areas such as advanced fine-tuning (RLFT), alignment, and reasoning. You will leverage your in-depth machine learning intuition and research experience to push the boundaries of our models' potential.What You’ll Do:Lead Model R&D Initiatives: Oversee major research and development projects aimed at achieving transformative improvements in model performance, from ideation through to production.Solve Complex Problems: Address the most challenging and ambiguous technical issues related to model behavior, alignment, and safety.Develop Cutting-Edge Fine-Tuned LLMs: Utilize the latest tools and frameworks to construct advanced fine-tuned Large Language Models within Heidi.Collaborate Across Teams: Work with product, medical knowledge, and design teams to streamline prompt engineering and establish agentic AI and model evaluation frameworks.Innovate New Techniques: Go beyond existing literature to create unique fine-tuning or data generation methods specifically designed for our healthcare domain.Mentor and Inspire: Guide mid-level engineers and contribute to their professional growth.

Maincode is seeking a Signal Engineer in Melbourne to help shape the future of Matilda, a leading Australian language model. This role focuses on transforming massive amounts of raw data into high-quality training sets, directly influencing model performance. Both engineering and editorial skills are essential, as the work blends technical pipeline development with careful judgment about data quality. Key Responsibilities Design and implement large-scale data pipelines for ingesting, cleaning, deduplicating, filtering, and scoring training data (handling volumes from terabytes up to petabytes). Develop classifiers and heuristics to distinguish valuable data from irrelevant or low-quality input. Experiment with different dataset combinations to identify what best improves the language model. Build tools for exploring, sampling, and auditing the data corpus. Collaborate closely with researchers and training engineers to align data strategies with model objectives. Requirements Strong engineering background, particularly with Python, data tools, distributed processing, and building reliable data pipelines. High attention to detail, recognizing that small errors can quickly scale in this environment. Ability to assess the quality of training data accurately. Comfort working with extremely large and complex datasets. Interest in how data decisions influence model behavior. Quick to pick up new concepts; prior experience with large language models is not required. Preferred Experience Experience with web-scale corpora or pre-training data pipelines. Familiarity with unstructured text data. Knowledge of distributed data frameworks such as Spark or Ray. Background in deduplication, quality classification, or tokenization. Additional Details This is a full-time, in-person position based in Melbourne. Maincode cannot provide visa sponsorship, so candidates must already hold valid and unrestricted work rights in Australia.