Engineering Manager - Machine Learning

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.

Pluralis Research is at the forefront of Protocol Learning—an innovative and decentralized approach to training and deploying AI models, empowering individuals rather than just the well-resourced corporations. By aggregating computing resources from numerous contributors, incentivizing participation, and ensuring no single entity controls the entirety of a model's weights, we are forging a genuinely collaborative pathway to advanced AI. If you are eager to contribute to the future of open innovation in artificial intelligence, we invite you to join our team.Key ResponsibilitiesEngage in pioneering research in Protocol Learning during your PhD. This 6-month internship emphasizes research publication.This fixed-term role provides a platform to co-author significant papers in a burgeoning field, with access to substantial computing resources and dedicated mentorship from experienced scientists.Publication-Driven Research: Conduct innovative research within Protocol Learning, aiming for publication in prestigious ML conferences such as NeurIPS, ICML, and ICLR.

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.

About the RoleMaincode is at the forefront of AI innovation, creating foundational models built from the ground up on Australian infrastructure. We specialize in designing architectures, managing our own computing resources, optimizing training processes, and deploying robust systems that power our models.We are proud to have developed Matilda, the first large language model entirely built and trained in Australia. Our new compute cluster is operational, and we're excited to scale the next iteration of Matilda, making it accessible for public use.We invite passionate AI researchers to join us in refining the core architecture, training, and evaluation of the large-scale language models that drive Matilda's capabilities.This position emphasizes substantial contributions over incremental benchmarks. You will collaborate closely with engineers who manage large-scale training systems, focusing on designing models that learn efficiently and perform reliably in real-world applications.Your ResponsibilitiesAs part of our team, you will engage throughout the model development cycle, addressing research questions, conducting training runs, and performing evaluations. Your key tasks will include:Designing and testing architectural modifications and training methodologies for large language models.Executing controlled experiments at scale to isolate causal impacts.Investigating failure modes related to reasoning, generalization, robustness, and representation.Defining objectives, data mixes, and optimization strategies that significantly affect model behavior.Creating and enhancing evaluations that measure capabilities and reliability, beyond mere numerical scores.Analyzing training dynamics through logs, metrics, and model outputs.Partnering with machine learning systems engineers on distributed training and operational tasks.Documenting insights and experimental outcomes in clear internal notes to inform design decisions.You will spend a considerable amount of time developing code, running training sessions, analyzing logs, and evaluating outputs to ensure clarity on what enhances the model's performance and the rationale behind it.QualificationsWe value deep analytical reasoning, disciplined experimentation, and the capability to navigate ambiguity effectively. Ideal candidates will possess:Hands-on experience in developing and executing production-level machine learning or research code.Proficiency in Python, with experience in frameworks such as PyTorch or JAX.A strong foundation in transformer architectures and large-scale language models.Familiarity with distributed computing environments and data processing techniques.Excellent problem-solving skills and the ability to work collaboratively within a team.

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.

Role overview The Lead Senior Data Scientist at Easygo guides data science projects from concept through deployment. This position sets the direction for data initiatives, partnering with business leaders and stakeholders to create and maintain solutions that reach millions of users worldwide. Key responsibilities Lead advanced machine learning and AI projects, designing and deploying solutions that process petabyte-scale data across international platforms. Offer technical leadership and mentorship to junior data scientists, helping the team deliver meaningful outcomes. Work closely with stakeholders to understand business needs and turn them into effective data science solutions. Location This role is based in Melbourne, Australia.

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.

At MYOB, we are at the forefront of business management solutions, dedicated to empowering businesses throughout Australia and New Zealand to thrive. Our mission is to ensure that every enterprise, regardless of size, has the essential tools to not just start, but also thrive and succeed.We believe that when one business prospers, it positively impacts everyone involved—from owners and employees to customers and suppliers. Our commitment is to equip every individual in the business landscape with the resources needed to focus on what truly matters and achieve their unique vision of success.By joining MYOB, you become part of a movement that champions business success and community growth. We are more than a software company; we are a people-centric organization committed to making a meaningful impact.About the RoleWe invite you to join our dynamic Data and AI team, where your contributions will directly enhance the experiences of MYOB's customers. As a Senior Data Scientist, you will be instrumental in transforming ideas into impactful solutions—from initial hypothesis to production deployment. This includes prototyping, developing Minimum Viable Products (MVPs), and scaling solutions with clear metrics, rigorous offline testing, and live A/B experiments that validate their effectiveness.You will collaborate closely with product managers, engineers, and designers to identify key challenges, select appropriate methodologies (including transformers, recommenders, and time series analysis), and deliver scalable, maintainable AI solutions. We seek a candidate who embodies an experimental mindset, promotes responsible AI practices, and contributes to the growth of the team through mentorship and knowledge sharing.Qualifications:- Proven track record of successfully deploying customer-facing ML/AI and LLM features from conception to completion.- Proficient in methodologies such as NLP, RAG, time series, recommendation systems, anomaly detection, and deep learning/transformers.- Strong programming skills in Python, with hands-on experience in ML frameworks and LLM tools (e.g., HF Transformers, LangChain/LangGraph).- Familiarity with cloud computing, particularly AWS services such as Bedrock, S3, SageMaker, ECS, and Lambda.- A robust experimentation mindset, utilizing offline metrics, A/B testing, calibration/drift analysis, and telemetry linked to real-world outcomes.- Solid foundation in data engineering principles, including SQL, NoSQL/vector databases, data streaming, data quality governance, and collaborative practices surrounding data contracts and observability.- Strong understanding of security, privacy, and compliance issues, with a genuine passion for Responsible AI principles.

At Research Innovations Inc. (RII), we are at the forefront of transforming national security technology. Our mission-driven approach merges impactful research with a dynamic culture that prioritizes autonomy, creativity, and technical excellence.We invite passionate security researchers to join our team and take on the challenge of independently probing and exploiting intricate systems, spanning from kernel to embedded platforms, in pursuit of innovative solutions to complex problems. This position integrates profound technical acumen with tangible contributions to defense and homeland security initiatives. Get things done.Candidates must possess an Active US Top Secret security clearance and the capability to upgrade to TS/SCI Special Access Program access.

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!

Canva seeks a Senior Data Scientist with a focus on security to help protect its platform. This full-time role is based in Melbourne and centers on analyzing data to identify and address security challenges. Key responsibilities Examine large, complex data sets to spot security risks and emerging trends Create predictive models that inform and enhance security protocols Collaborate with teams across Canva to implement data-driven security solutions Introduce new approaches that directly strengthen the platform’s protection Role impact This position plays an important part in shaping decisions that keep Canva’s users and data secure. The work supports Canva’s mission to empower everyone to design safely and confidently.

Position Title: Senior Vulnerability ResearcherLocation: St. Petersburg, FL | Melbourne, FL | San Antonio, TXClearance Requirement: Top Secret/SCI Employment Type: Full TimeAt Research Innovations Inc. (RII), we are on a mission to revolutionize defense technology. Our commitment to impact is paired with innovative research and a culture that champions autonomy, creativity, and technical excellence. We invite skilled security researchers to delve into and exploit intricate systems spanning from kernels to embedded platforms, tackling challenges that seem insurmountable. This role merges profound technical problem-solving skills with tangible contributions to defense and homeland security initiatives. Let’s get things done. Candidates must possess an Active US Top Secret security clearance and the capability to upgrade to TS/SCI Special Access Program access.

Join Canva as the Head of Design Research, where you will lead a dynamic team dedicated to transforming how users interact with design. Your role will involve spearheading innovative research strategies, collaborating with cross-functional teams, and driving insights that enhance our user experience. You will play a pivotal role in shaping Canva's design direction through comprehensive research methodologies and data-driven insights.

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

At Magic Eden, we’re pioneering the future of crypto entertainment. Our journey in Web3 began as an innovative NFT marketplace, and we've evolved into creating immersive, social, on-chain experiences that fuse culture, trading, gaming, and entertainment. With a bold ambition to make crypto accessible, exciting, and unforgettable for the next generation, we are backed by leading investors including Electric Capital, Lightspeed Ventures, and Paradigm.Recognized as one of the fastest companies to achieve unicorn status, Magic Eden reached this milestone just nine months post-launch. Leveraging our crypto-native expertise and exceptional in-house engineering, we have established a robust model and are now venturing into our next exciting chapter: Dicey, our crypto casino and sportsbook platform targeting the $180B+ iGaming and sports betting markets.About the RoleAs we scale Dicey, we are seeking a Staff Data Scientist to lead the data and metrics function for our casino and/or sports product. You will be integral in building foundational frameworks and driving our data strategy forward.We thrive in a high-energy environment that values hard work and fun. We are looking for analytically sharp individuals who can operate swiftly and autonomously. If you are excited about shaping product and business decisions in a fast-paced setting, we want to hear from you!Key Responsibilities- Lead the data and metrics function for Dicey’s casino and/or sports product, building foundational frameworks from the ground up- Define and develop essential performance metrics encompassing user growth, retention, incentive effectiveness, and revenue (GGR/NGR)- Establish proactive risk monitoring and alert systems to identify abuse patterns and respond to emerging threats- Collaborate closely with Product, Engineering, and BD teams to transform data insights into actionable business decisions- Develop precise accounting and metric definitions (e.g., deposit bonus NGR, affiliate payout calculations) to support business operations- Engage across casino and sports workstreams, from rewards progression modeling to sportsbook margin analysis, adapting to business priorities- Clearly present findings and recommendations to cross-functional stakeholders and founders

At Maincode, our mission is clear: to develop and deliver Matilda, Australia's pioneering conversational AI platform, with a focus on collaboration and innovation. We prioritize our team and the impactful work we do together.Matilda stands as the first fully Australian conversational AI platform, representing a significant technical challenge that we are tackling with a dedicated team that values speed and seriousness in our work.We seek intelligent, humble individuals who are eager to contribute to something meaningful, regardless of how they do so. Whether diving into research literature or mastering the construction of telemetry systems for scalable production infrastructure, your journey with us will be diverse and fulfilling.We value skill and character over traditional qualifications. Many of our top performers come from unexpected backgrounds, holding advanced degrees in adjacent fields or possessing uncommon combinations of experience. What they share is excellence, a capacity for rapid learning, and a commitment to teamwork.If you're looking for a highly detailed job specification, this may not be the right fit. If you find relief in the ambiguity and are excited by the prospect of diving into this challenge, we want to hear from you.

Join Airwallex as a Senior Data ScientistAt Airwallex, we are revolutionizing the financial landscape for global businesses with our innovative payment and financial platform. With a unique blend of proprietary infrastructure and advanced software, we empower over 200,000 businesses globally, including renowned names like Brex, Rippling, Navan, Qantas, and SHEIN. Our fully integrated solutions enable businesses to manage everything from accounts and payments to spending and treasury, facilitating seamless embedded finance on a global scale.Founded in Melbourne, our diverse team of over 2,000 talented individuals operates across 26 offices worldwide. With a valuation of US$8 billion and support from prestigious investors such as T. Rowe Price, Visa, Mastercard, and Sequoia, Airwallex is at the forefront of developing the future of global banking. If you are ready to make a significant impact in your career, we want you on our team!What We ValueWe seek dynamic builders with entrepreneurial spirits who desire meaningful impact, rapid growth, and genuine ownership of their work. You will bring strong expertise and critical thinking to the table, motivated by our mission and operating principles. Your ability to move quickly with sound judgment, coupled with a curious mindset, will drive your success here.Collaboration is key; you will transform innovative concepts into tangible products and ensure projects are completed from start to finish. Leveraging AI to enhance efficiency and solve complex challenges, you will work alongside exceptional colleagues to advance your career while shaping the future of global finance.Growth Data Science TeamThe Growth Data Science team plays a pivotal role in Airwallex’s expansion, translating data and AI into a sustainable competitive edge. We focus on building and scaling cutting-edge solutions, from predictive modeling and personalization to LLM-powered systems and causal inference, all aimed at driving exponential growth throughout the customer journey.Discover more about our data science team in this blog.Your RoleAs a Senior Data Scientist, you will collaborate closely with the Growth and Marketing teams to design, implement, and refine impactful data science initiatives.

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.

Who is Quantium?Quantium stands at the forefront of data science and artificial intelligence, established in Australia in 2002. With over 1,200 professionals across 14 locations globally, we seamlessly blend product and consulting services to empower businesses in unlocking the full potential of their data and analytics. Our partnerships with the world's largest corporations aim to create a more intelligent and innovative future. At Quantium-Telstra (QT), we are embarking on a groundbreaking AI transformation with Telstra InfraCo, revolutionizing the planning, construction, and operation of Australia’s digital infrastructure.As a Senior Data Scientist, you will be an integral part of cross-functional QT–InfraCo teams, reporting to QT Leads and collaborating directly with InfraCo stakeholders to bring AI opportunities to fruition. Your responsibilities will include conducting discovery and design sessions, coordinating project delivery among business and technical teams, actively developing AI and ML solutions, and tracking measurable outcomes as these capabilities are implemented.