Lead Senior Mechatronics Engineer at Shield AI | Melbourne

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.

About MaincodeMaincode is pioneering the field of artificial intelligence as a dedicated research and engineering firm, proudly hosting Matilda, Australia’s first and only large language model developed from the ground up. Our advanced AI infrastructure is housed in local data centers, where we design, build, and operate systems ranging from server racks to complex model training and serving architectures.We are in the process of creating an AI Model Factory, a revolutionary compute infrastructure that enables cutting-edge AI research and scalable production systems.About the RoleThis position is a unique opportunity to work at the crossroads of physical systems, large-scale computing, and AI research. You will play an integral role in designing and managing the infrastructure necessary for training large-scale AI models, including GPU racks, high-performance networks, and orchestration systems that ensure smooth operation.We welcome individuals with a strong research mindset and systems-oriented thinking. While prior data center experience is not required, a strong sense of curiosity, ability to reason from first principles, and a quick learning aptitude are essential. Candidates with backgrounds in mechatronics, robotics, or aerospace, coupled with robust computational skills, will find this role particularly rewarding. We provide ample time, mentorship, and resources to help you master these systems, allowing you to develop expertise in one of the most critical technical fields of the next decade.What You’ll DoGain expertise in designing, deploying, and operating the core infrastructure for AI.Engage with GPU clusters, high-speed networking, and extensive Linux systems.Contribute to the architecture of Australia’s inaugural production-scale AI data center systems.Collaborate with AI researchers and engineers in shaping the next wave of model training environments.Innovate new operational and architectural strategies based on fundamental principles.You Might Be a Fit IfYou possess hands-on experience with computational systems, including systems programming, Linux environments, GPU or accelerator programming, distributed or HPC environments (e.g., MPI), automation, or large-scale numerical computation.Your background may include adjacent technical or scientific fields such as mechatronics, robotics, aerospace, or physics, where you have honed strong computational and modeling skills.You have a passion for understanding complex systems from foundational principles.You quickly learn and apply new technologies, adapting to the evolving landscape of AI infrastructure.

Join Our Team as an AI Software EngineerAt Maincode, we are pioneering the development of Matilda, Australia’s first large language model built and trained from the ground up. With our new compute cluster operational, we are excited to scale the next iteration of this innovative project.In this role, you will be an integral part of the training infrastructure. Your responsibilities will include constructing the pipelines and tools that enhance the efficiency of Matilda’s training, ensure stability during prolonged runs, and expedite the execution of new experiments. Given that training durations can extend from days to weeks, your work will require meticulous attention to detail.At Maincode, we believe in building AI systems from the ground up: from designing architectures to managing the infrastructure, shaping the training process, and operating the models ourselves. Matilda is not just a research prototype; it’s a fully operational system, developed at scale for open public use.We proudly operate one of Australia’s largest private AI compute environments, dedicated exclusively to training our models. This position does not involve wrapping external APIs or shipping user-facing features; instead, you will focus on the underlying systems that drive the training of a large language model from scratch.

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.

About the RoleMaincode is at the forefront of artificial intelligence, developing the next iteration of Matilda, Australia's pioneering large language model. As we scale this innovative model, we aim to deploy it as a robust live production system.Our approach is rooted in first principles, where we meticulously design architectures, manage infrastructure, guide the training process, and operate the systems that support our models.Matilda is not a mere research prototype; it is a production-ready system intended for open public access. This role is pivotal in shaping the user experience of Matilda, making it not just functional but also intuitive and engaging.As a Product Engineer, you will be instrumental in crafting the user-facing experience of Matilda. Your contributions will extend beyond implementation to encompass how users interact with and perceive the product.This is a collaborative role where you will work closely with UX designers and directly implement your ideas in code, shaping the nuances of user interaction.Key ResponsibilitiesYour contributions will enhance both the public interface of Matilda and its internal tools, including:Designing the core web interface for user interaction with Matilda (chat, sessions, history, settings).Implementing responsive, reliable streaming UX for real-time model outputs (including tokens, partial responses, cancellations, and retries).Contributing to interaction design for both standard and edge-case scenarios (latency, uncertainty, refusals, and errors).Designing UI workflows that promote safe and responsible usage (feedback mechanisms, content management).Iterating on layout, typography, spacing, and interaction details directly through code.Enhancing perceived performance and responsiveness through thoughtful UI design decisions.Developing internal tools and dashboards with an emphasis on usability and clarity.Collaborating closely with backend and infrastructure engineers to integrate APIs, authentication, and system constraints.Your role will balance coding with strategic thinking about user flows, edge cases, and overall product behavior.Ideal Candidate ProfileWe seek engineers at the start of their careers who deeply value user experience, focusing on the feel of the product as much as its functionality. If you have a passion for building engaging interfaces and are eager to learn and grow within a dynamic team, we encourage you to apply.

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.

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

About the RoleMaincode is on a mission to develop Matilda, a cutting-edge large language model created entirely in Australia. With our new compute cluster now operational, we are scaling the next iteration and preparing for public deployment.This position is integral to our production system that supports Matilda. You will be tasked with creating and maintaining back-end services that ensure the model's practical usability, including APIs, infrastructure, and systems that transform a trained model into a dependable public resource.Our approach to AI development is comprehensive; we architect the systems, manage the infrastructure, train the models, and operate the solutions ourselves. Matilda is not merely a research prototype; it represents a robust production system trained at scale and made available to the public.Maincode boasts one of Australia's largest private AI compute environments, dedicated to the training and operation of our proprietary models. You will directly engage with the systems that deploy and serve a model built from the ground up.Your ResponsibilitiesYour role will involve building and sustaining the services that bridge the model and external interactions.This encompasses tasks such as:Developing and maintaining services for model inference and user requestsDesigning systems for managing requests, sessions, and streaming responsesImplementing reliability features including rate limiting, retries, and graceful failure mechanismsEstablishing authentication and access controls for public useCreating systems for logging, telemetry, and evaluation signalsEnhancing latency, throughput, and reliability in model servingIncorporating new model checkpoints into the production environmentCollaborating closely with training and infrastructure engineers to deploy and maintain the modelMost of your work will occur within production systems, focusing on logs, traces, performance profiles, and deployment pipelines. Our priority is to ensure a system that remains operational, efficient, and predictable under load.Who Thrives in This Role?We seek engineers at the beginning of their careers who are eager to learn how to build and operate production AI systems effectively.You may have one or two years of experience in developing production software. What we value most are curiosity, reliability, and a willingness to understand large-scale system operations.

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.

About UsAt Heidi, we believe healthcare deserves a more harmonious approach that emphasizes continuous and human-centric care. Our innovative AI Care Partner is designed to work in tandem with clinicians, making this vision a reality.Our diverse team consists of doctors, engineers, designers, researchers, and creative minds, all dedicated to developing tools that enable clinicians to concentrate on what truly matters: their patients.In just 18 months, we have successfully contributed over 18 million hours back to healthcare professionals, facilitating 73 million patient visits across 116 countries. Presently, Heidi supports more than two million patient visits globally each week.With nearly $100 million in funding, we are expanding our reach in the US, UK, Canada, and Europe, collaborating with prominent health systems including the NHS, Beth Israel Lahey Health, and Monash Health.Your RoleAs a Senior AI Engineer, you will collaborate closely with the Engineering Manager to design and scale the backend services that drive our AI-powered products.Key ResponsibilitiesDesign and develop backend services to support LLM-based agents and clinical automation.Create secure and scalable APIs & data models that can be easily extended by other teams.Enhance performance and cost-efficiency through profiling, database tuning, and optimizing cloud resources.Automate quality assurance by writing unit and integration tests, crafting alerts, and maintaining on-call runbooks to ensure clinicians can rely on every interaction.Collaborate with product, design, and engineering teams to deliver new features from concept to production in a matter of weeks.QualificationsStrong foundation in software engineering principles; proficiency in Python is essential, but versatility across technologies is valued.Extensive database knowledge, including schema design, query optimization, and scaling for both relational and NoSQL databases.Proficiency in cloud technologies (GCP or AWS), including containers, CI/CD, infrastructure as code, security, and observability.Experience building scalable systems that handle large volumes of data and high-traffic environments.

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.

Role Overview Shield AI is hiring a Staff Engineer in Manufacturing for the Melbourne office. This role focuses on integrating advanced technology into manufacturing processes to improve efficiency and quality. The position calls for an engineer who brings fresh ideas and a commitment to high standards. What You Will Do Work with teams across disciplines to design and implement manufacturing systems Optimize existing processes for better performance and reliability Contribute directly to the development of Shield AI’s products and services Who We’re Looking For Experience in manufacturing engineering Interest in applying advanced engineering solutions to real-world challenges Ability to collaborate with cross-functional teams This role offers the chance to influence how technology shapes manufacturing at Shield AI, with a focus on quality and performance.

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.

Established in 2015, Shield AI is a pioneering venture-backed deep-tech company dedicated to safeguarding both service members and civilians through cutting-edge intelligent systems. Our innovative products, including the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines, play a crucial role in enhancing operational safety and efficiency globally. With a presence across the U.S., Europe, the Middle East, and the Asia-Pacific, our technology actively supports operations in diverse environments. For further details, please visit www.shield.ai. Connect with us on LinkedIn, X, Instagram, and YouTube. Job Overview:Join our dynamic Australian Engineering Team as a Staff Systems Engineer, where you will play a pivotal role in designing integrated solutions utilizing the Hivemind Vision and Mission Autonomy technology stacks.Your Responsibilities Include:- Collaborating with programmatic leadership to assess System Engineering effort requirements.- Working alongside System Design Teams (including Human Factors, UX, and Architecture) to translate solution designs into actionable specifications.- Partnering with System Development & Test teams (Development, Integration, Testing) to establish robust system architectures.

Join Shield AI as an Engineering Lead for Autonomy Software!At Shield AI, we are dedicated to safeguarding service members and civilians through advanced intelligent systems. Founded in 2015, our venture-backed deep-tech company specializes in innovative products such as the V-BAT and X-BAT aircrafts, as well as the Hivemind Enterprise and Vision product lines. With a global presence spanning the U.S., Europe, the Middle East, and Asia-Pacific, our technology is actively deployed in operations around the world. To learn more about our mission and values, visit www.shield.ai and connect with us on LinkedIn, X, Instagram, and YouTube.About the Role:As the Engineering Lead for Autonomy Software, you will spearhead the development of groundbreaking autonomy solutions that empower unmanned systems to navigate and operate intelligently within complex, real-world scenarios. Your leadership will guide multidisciplinary teams through the entire lifecycle of high-performance autonomy solutions—from algorithm conception and software development to system integration and field testing. Working at the exciting intersection of robotics, aerospace, and software engineering, you will be responsible for driving essential capabilities from initial concept to successful flight, delivering resilient and scalable systems that excel in dynamic and contested environments.

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 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.

Join Canva's cutting-edge AI team as a Senior Software Engineer specializing in Java. In this role, you will be instrumental in developing innovative software solutions that enhance our platform's capabilities. Working collaboratively with a talented team of engineers, you will contribute to exciting projects that leverage the power of AI to transform design processes. If you're passionate about technology and eager to make a significant impact, this opportunity is for you!

At MYOB, we are a premier business management solution dedicated to empowering businesses across Australia and New Zealand to initiate, sustain, and flourish. Our mission is simple yet profound: when businesses operate seamlessly, it benefits everyone involved—owners, employees, customers, suppliers, and their families.By joining MYOB, you will not only contribute to this meaningful impact but will also have the opportunity to utilize your skills to foster business growth, influence the future of work, and evolve alongside the communities we serve. While we focus on software, our true commitment is to people, making MYOB a cornerstone for every business.About the RoleAs the Website CRO Lead, you will spearhead the development and execution of the Conversion Rate Optimization (CRO) strategy for the MYOB website. You will play a crucial role in identifying, assessing, and prioritizing conversion opportunities across our key website journeys. This position requires collaboration with various teams including Website Product, Development, Content, Product Marketing, and Data to implement, test, and analyze optimizations based on data-driven insights.