Senior Machine Learning Engineer - Inspire & Create (AU Remote)

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 optimizi…

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 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.

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 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.

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 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 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 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.

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.

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.

Role overview Qantas Group seeks a Data Scientist to join their Melbourne team. The position centers on using data analytics and statistical approaches to address business challenges and support decisions throughout the organization. Key responsibilities Collaborate with teams across departments to find areas where data-driven insights can lead to improvements Build and apply analytical models that enhance operational efficiency Apply statistical methods to shape strategies aimed at improving the customer experience Location This role is located in Melbourne.

Join Canva as a Staff Software Engineer in the Infrastructure team, where you will play a key role in enhancing our Quality Platform. This is a unique opportunity to work remotely across Australia and New Zealand, using your skills in Java and Golang to build scalable, reliable systems that will impact millions of users worldwide.

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.

Role Overview Innergy1 is looking for a Solutions Engineer in Melbourne. This role centers on working with clients to understand their needs, shaping custom solutions, and supporting the delivery of our products. Collaboration with teams across the company is a regular part of the job. What You Will Do Work with clients to identify requirements and challenges Design solutions that fit client needs using innergy1 products Coordinate with colleagues from different teams to ensure smooth implementation Support clients throughout the deployment process Location This position is based in Melbourne.

The AI Forward Deployed Engineering (AI FDE) team at Databricks is a premier, customer-centric group dedicated to delivering exceptional AI solutions. We engage in professional services to assist our clients in developing and implementing pioneering AI applications. Our collaborative efforts span across engineering, product development, and developer relations, ensuring that we align our strategic initiatives with the needs of our customers. We view our team as a collective of unique talents, and we seek individuals who thrive in customer interactions and are passionate about the latest advancements in Generative AI, LLMOps, and machine learning. This role is open to remote candidates.

Senior Pre-Sales Solution Engineer Location: Sydney or Melbourne, Australia About AvePoint:At AvePoint, we are dedicated to empowering organizations to secure their digital transformation. As a global leader in data management and governance, we serve over 21,000 clients worldwide, providing them with innovative solutions for Microsoft, Google, Salesforce, and various other collaboration platforms. Our robust global channel partner program includes 3,500+ managed service providers, value-added resellers, and systems integrators, with our offerings accessible in over 100 cloud marketplaces. Discover more at www.avepoint.com. We prioritize our employees' growth and development, fostering a culture of agility, passion, and teamwork. At AvePoint, you are encouraged to take initiative, learn from your peers, and shape your career path. Position Overview: As a Senior Solution Engineer, you will be instrumental in showcasing AvePoint's solutions to our clients by crafting and implementing customized solutions addressing intricate business needs. Utilizing your extensive technical and business acumen along with strong consultative skills, you will collaborate closely with clients, virtual account teams, and product specialists to gather requirements, design optimal solutions, and illustrate the value of our offerings. In this technical leadership role, you will define and execute the technical strategy for key opportunities and clients, proactively identifying customer challenges, shaping solution methodologies, and advancing the deal from a technical perspective. Your involvement will span from initial discovery calls and delivering impactful technical presentations to leading proof-of-concept initiatives and providing expert guidance throughout both pre-sales and post-sales phases. Operate with a high degree of independence while working closely with sales teams and senior technical leaders to ensure exceptional results for our clients.

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.

About the Role Canva is looking for a Senior Engineering Manager to guide the Ecosystem Integrations and Solutions team in Melbourne. This group builds integration solutions that extend and strengthen Canva’s platform. What You’ll Do Lead and support an engineering team working on integrations that expand Canva’s ecosystem. Work closely with colleagues across different functions to deliver technical solutions. Mentor and develop engineers, helping them grow in their roles. Promote technical quality and encourage best practices within the team. Location This position is based in Melbourne.