Engineering Manager - Machine Learning

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

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 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.

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.

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'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 CyberArk as a Principal Account Executive specializing in Machine Identity. In this pivotal role, you will lead the charge in securing the identities of critical assets for our clients, ensuring their digital transformation journeys are safeguarded against evolving threats.As a seasoned professional in the field, you'll leverage your expertise to drive strategic sales initiatives, engage with senior stakeholders, and build lasting relationships that foster trust and collaboration. Your ability to articulate the value proposition of our innovative solutions will be key to your success.We are looking for a results-driven individual with a passion for technology and a deep understanding of the cybersecurity landscape.

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.

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.

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.

We are seeking a talented and experienced Principal Process Engineer to join our dynamic team. In this pivotal role, you will lead engineering projects, ensuring efficient and innovative process designs that meet our clients' needs. You will collaborate with multidisciplinary teams to optimize process performance and drive continuous improvement initiatives.

Join our expanding defence portfolio as a Principal Mechanical Engineer in our Building Engineering team. We are in search of a seasoned technical leader who excels at providing innovative design solutions across various sectors.While our preferred location is Adelaide, we also offer opportunities in Brisbane and Melbourne.Your Impact:Leverage your extensive mechanical design expertise to achieve exceptional, cost-effective results in key sectors including health, defence, transport, data centres, sports, and other significant building projects across Australia and New Zealand.Take charge of mechanical design packages for major client projects, ensuring technical excellence through meticulous design reviews and compliance checks.Work collaboratively with multidisciplinary teams to enhance the quality of calculations, specifications, and design documentation.Guide and mentor junior engineers, aiding in their technical advancement and nurturing a culture of ongoing improvement.Establish and sustain strong relationships with internal teams and clients to ensure successful project outcomes and foster repeat business.

Join AECOM as a Principal Structural Engineer specializing in buildings, where you will lead innovative structural design projects that shape the future of urban environments. Collaborate with a dynamic team of experts to deliver high-quality engineering solutions that enhance community resilience and sustainability.

Join our dynamic team at Pexa as a Principal Engineer, where innovation meets excellence. In this pivotal role, you will lead complex engineering projects, driving the design and development of cutting-edge solutions that transform the property settlement industry. Collaborate with a talented team, leverage advanced technologies, and help shape the future of digital conveyancing.

Role Overview The Principal Engineer at Xero works closely with teams across the product group to design and deliver software solutions for customers. This role leads efforts to strengthen engineering practices, improve software architecture, and ensure technical decisions support Xero’s product roadmap. Collaboration with senior leaders is a key part of the job, helping to shape technical strategy and align teams on shared goals. Responsibilities include clarifying complex technical challenges, simplifying processes, and using data to drive decisions that deliver customer value early. The Principal Engineer also identifies cross-team opportunities and partners with others to address engineering challenges at scale. Team Collaboration and Culture This position fosters a cross-functional environment, contributing to the technical roadmap and architectural direction both within the product group and across Xero. Building trust and credibility with stakeholders and support teams is essential. The team culture emphasizes psychological safety, inclusion, and empowering teams to experiment, learn, and perform at their best. Key Focus Areas Refactoring complex, monolithic systems into scalable, cloud-native distributed architectures. Promoting a modern DevOps culture and supporting the adoption of technologies such as AWS, Kubernetes, and React. Setting engineering standards and frameworks at the portfolio level to raise quality across teams. Guiding teams in defining and implementing SLOs, while ensuring deployment pipelines are reliable and secure. Work Environment This Melbourne-based role follows a hybrid work model, combining in-office collaboration with remote work flexibility. The office at 260 Burwood Rd offers modern facilities and the chance to connect with a skilled and engaged team.

The Role and Its ImpactJoin us as a Principal Software Engineer to lead the development of the Xero Accounting App (XAA), our premier mobile platform designed for small business owners to manage their finances effortlessly. In this role, you'll establish the benchmarks for engineering excellence at Xero, enhancing our technical capabilities and shaping the architectural strategies that align with our global product vision.You'll serve as a pivotal link between product vision and execution, influencing the technical roadmap to ensure our engineering decisions resonate with our strategic objectives. We seek a leader who excels in tackling complex engineering challenges, clarifying ambiguities, and fostering collaboration across various teams.Your Initial Focus Areas Will Include*Hybrid Mobile Evolution*: Establishing integration and performance standards in a landscape where native and React Native technologies coexist.*Systemic Operational Excellence*: Spearheading proactive strategies to mitigate issues by creating frameworks for Service Level Objectives (SLOs) and quality standards.*Capability Elevation*: Empowering lead engineers, attracting top talent, and engaging with the wider tech community as a mentor.*Efficiency*: Crafting and implementing an AI-driven engineering vision that revolutionizes software design, development, testing, and maintenance, resulting in significant productivity enhancements across teams.Work EnvironmentOur teams are based in Australia, and this hybrid role allows you to work from either Melbourne or Sydney, providing the flexibility to engage in focused tasks while collaborating in our vibrant office spaces.What We Are Looking ForExtensive experience in developing and leading mobile applications within expansive, high-growth environments, including expertise in scaling mobile build and release pipelines and architecting cloud-native backend services and APIs (preferably AWS).A strategic mindset that ensures technical architecture aligns with product strategies, fostering both technical feasibility and exceptional customer experiences.

We are seeking a highly skilled Principal Structural Engineer to join our dynamic Building Engineering team, specializing in Defence Projects. While our primary preference is for Adelaide, candidates may also be considered from Sydney, Melbourne, or Brisbane.Your Role:Serve as a senior technical expert, providing in-depth technical guidance to the team. Leverage your expertise in essential building components, including stability design, basements, structural steel framing, and connections, with a strong emphasis on designing cost-effective post-tensioned concrete floors.Utilize your extensive delivery experience with various construction materials to engage effectively with clients, architects, and builders throughout the design and construction phases of significant projects.Oversee and refine design and delivery processes to ensure high-quality, economically viable work by team members.Apply your technical knowledge to conduct quality control reviews of design calculations and drawings, as well as to prepare detailed technical specifications.Collaborate within a multidisciplinary engineering team to perform inter-disciplinary reviews of project deliverables while contributing to engineering budgets and schedules to align with project goals.