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Join our innovative team at Culture Amp as an AI Engineer - Applied AI. In this role, you will leverage your expertise in artificial intelligence to develop cutting-edge solutions that enhance our products and services. You will collaborate with cross-functional teams to implement AI methodologies and drive our mission of building a better world of work.
Culture Amp is a leading employee experience platform that empowers organizations to improve their workplace culture through data-driven insights. With a commitment to fostering a diverse and inclusive environment, we are dedicated to helping companies create a better world of work.
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Search for Senior Ai Models Engineer
411 results
Heidi Health
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 clin…
Heidi Health
Join Our MissionAt Heidi, we believe healthcare deserves a harmonious approach that prioritizes continuous and compassionate care. Our innovative AI Care Partner collaborates with clinicians to enhance patient care.As a diverse team of healthcare professionals, engineers, designers, researchers, and creatives, we are dedicated to developing tools that allow clinicians to focus on what truly matters: their patients.In just 18 months, we have contributed over 18 million hours back to healthcare providers, supporting 73 million patient visits across 116 countries. Currently, Heidi powers over two million patient visits each week globally.With nearly $100 million in funding, we are expanding into the US, UK, Canada, and Europe, and partnering with leading health systems such as the NHS, Beth Israel Lahey Health, and Monash Health.Your RoleAs an integral member of our Model Platform team, you will work closely with our Engineering Manager as an AI Model Engineer. Your expertise will significantly contribute to enhancing our foundational models.Your primary focus will be to leverage your technical skills to conduct experiments, implement advanced fine-tuning techniques (such as SFT and RLFT), and systematically enhance the performance, safety, and efficiency of our large language models (LLMs).Key Responsibilities:Manage Model Fine-Tuning: Execute comprehensive fine-tuning experiments, overseeing everything from data curation to analysis and reporting.Collaborate Across Teams: Work with product, medical knowledge, and design teams to automate prompt engineering and develop agentic AI solutions.Create Innovative LLM Features: Design and implement state-of-the-art LLM functionalities using the latest tools and frameworks.Apply Advanced Techniques: Adapt and implement cutting-edge algorithms from research to address specific product challenges.Conduct Thorough Model Analysis: Analyze model behavior in detail, identify failure points, and propose data-driven or algorithmic solutions.Enhance Core Infrastructure: Contribute to building and refining the core training and experimentation infrastructure to accelerate research efforts.
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.
Culture Amp
Join us in our mission to enhance the world of work.Culture Amp stands at the forefront of the employee experience sector, transforming how over 25 million employees across more than 6,500 companies foster a better work environment. We empower organizations of all sizes and industries to elevate employee engagement, streamline performance management, and cultivate high-performing teams. Our innovations are grounded in people science and bolstered by the world's most extensive employee dataset, with renowned companies like Canva, On, Asana, Dolby, McDonald's, and Nasdaq relying on Culture Amp daily.With backing from leading venture capital firms, Culture Amp operates in the US, UK, Germany, and Australia. We have been recognized by Forbes as one of the top private cloud companies and by Fast Company as one of the most innovative companies globally.To learn more, visit cultureamp.com.How You Can Contribute to a Better World of WorkWe are on the lookout for a Senior Engineer to join our AI Research & Experience team. You will play a key role in developing AI Coach, Culture Amp's intelligent AI system that integrates survey insights, performance management, and interpersonal dynamics to provide personalized support to organizations, teams, and individuals at scale.Your work will bridge the gap between applied AI research and product engineering, converting advanced techniques into functional systems that significantly enhance workplace experiences. This role is not confined to a research lab; you will be delivering features that address real customer challenges.Key ResponsibilitiesStay informed about the latest research, literature, and provider offerings.Design, implement, and assess features of our multi-agent platform and systems using modern frameworks (e.g., LangGraph) for stateful, multi-turn coaching conversations.Assist in building and coordinating data pipelines that integrate fragmented workplace data (surveys, goals, performance reviews, feedback, one-on-one notes) to provide cohesive coaching context.Translate user requirements into technical solutions, working backwards from user needs to system design, while creating technical documentation to foster literacy, technical transfer, and engineering best practices.Collaborate closely with product, design, and people science teams to ensure that the developed features meet their intended purpose and align with existing product expectations.
Heidi Health
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.
Role overview KPMG Australia is hiring a Senior Consultant in Financial Modelling and Commercial Advisory for the Melbourne office. This position supports clients as they navigate complex financial matters, offering advice that helps clarify transactions and inform strategy. Key responsibilities Create advanced financial models that address specific client objectives Perform in-depth market analysis to support recommendations Assist clients during major transactions, offering guidance throughout the process Collaborate with colleagues from different specialties to deliver practical, actionable solutions Teamwork and impact This role involves contributing to projects that influence client decisions and support business growth. The work combines technical financial modelling, commercial judgement, and close collaboration to help clients make informed choices in challenging situations.
Shield AI
Join Shield AI, a pioneering deep-tech firm founded in 2015, dedicated to safeguarding service members and civilians through advanced intelligent systems. Our innovative product lines include the V-BAT and X-BAT aircraft, along with Hivemind Enterprise and Hivemind Vision. With a global presence, Shield AI's technology plays a crucial role in operations around the world. Explore more at www.shield.ai and connect with us on LinkedIn, X, Instagram, and YouTube.In the role of Modelling and Simulation Lead within our Hivemind Solutions team, you will spearhead the Modelling and Simulation capabilities for our autonomous mission programs based in Australia. Your primary focus will be to create and enhance simulation and testing environments essential for our autonomy engineers as they develop, test, and showcase autonomous solutions for uncrewed aircraft. You will oversee multidisciplinary engineering teams in the design, implementation, and integration of high-performance, real-time simulation frameworks across distributed systems, containerized environments, and hardware-in-the-loop setups. Your contributions will directly influence critical customer programs, internal research and development, and vital autonomy projects, ensuring our simulation ecosystem remains robust, scalable, and operationally representative.
Future Secure AI
About Future Secure AI Future Secure AI develops artificial intelligence solutions for global enterprises across multiple sectors. The team values bravery, diligence, and curiosity, encouraging open communication and professional growth. Leadership maintains an approachable, entrepreneurial style with a strong commitment to supporting each employee’s development. Company Background Future Secure AI (FSAI) operates in partnership with one of the world’s largest financial institutions. The company builds relationships with C-suite leaders at major organizations, focusing on collaboration between humans and AI to drive business outcomes. With a presence in several industries and regions, FSAI continues to expand globally. Role Overview: Senior AI Engineer (Software) – Melbourne Senior AI Engineers (Software) at FSAI play a central role in developing the company’s products and platforms. The position involves leading customer-facing projects, working directly with client and partner technical teams, and collaborating with internal groups to enhance technology solutions. This role requires balancing detailed coding work with broader business and product considerations. Strong organizational skills, a collaborative approach, and a genuine interest in advancing AI technology are important for success in this position.
Future Secure AI
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
Future Secure AI
About Future Secure AI Future Secure AI develops advanced artificial intelligence solutions for global enterprises. The company focuses on solving real-world challenges across various sectors, guided by BRAVER values and a culture that values curiosity, diligence, and courage. Leadership maintains an open-door policy, supporting both professional growth and individual contributions. Collaboration with leading minds and the pursuit of meaningful work are central to the company’s mission. Company Overview Future Secure AI operates as a fast-growing frontier-AI company, co-developed with a major global financial institution. The team combines startup agility with enterprise-level backing. The core mission: create agentic AI Co-workers, autonomous systems designed to reason, act, and work alongside people to boost productivity and transform organizational performance. With direct access to C-suite leaders and a growing network of international partners, the company aims to develop AI Co-workers that can think, act, and collaborate, reshaping how workplaces function. Role Overview: Senior Staff AI Engineer in Data Science The Senior Staff Data Scientist takes on a key technical leadership role, driving the development of agentic AI Co-workers, complex multi-step reasoning systems, and scalable autonomous workflows for enterprise use. This position designs and implements advanced large language model (LLM) agents capable of planning, decision-making, and action execution at scale, with a strong focus on safety and reliability. Influence over the technical direction of the agentic AI platform is central to this role. Responsibilities include mentoring emerging talent and ensuring that systems remain resilient, well-aligned, and effective in delivering results within complex environments. Work in this role directly shapes the future of human-AI collaboration. Locations Sydney Melbourne Brisbane
Join AECOM as a Principal Mechanical BIM Modeller, where you'll leverage your expertise in Building Information Modelling to deliver exceptional design solutions. Collaborate with diverse teams on cutting-edge projects, ensuring high-quality outcomes that meet both client and industry standards.
Heidi Health
About UsAt Heidi, we believe that healthcare deserves a new rhythm—one that fosters continuous and compassionate care. Our innovative AI Care Partner is designed to work seamlessly with clinicians, enhancing their ability to provide exceptional patient care.Our dynamic team comprises doctors, engineers, designers, researchers, and creatives committed to developing tools that allow healthcare professionals to focus on what truly matters—their patients.In just 18 months, Heidi has reclaimed over 18 million hours for healthcare providers, facilitating 73 million patient visits across 116 countries. We are proud to support over two million patient visits each week on a global scale.With nearly $100 million in funding, Heidi is expanding in the US, UK, Canada, and Europe, collaborating with leading health systems such as the NHS, Beth Israel Lahey Health, and Monash Health.Your RoleAs a Senior AI Engineer on our Orchestration team, you will spearhead the design and implementation of a clinician-grade retrieval and question-answering framework. This will encompass data ingestion, indexing, ranking, grounding, and secure deployment.You will establish the technical vision, define quality standards, and guide collaborative efforts among engineering, product, and clinical teams.Transitioning between research and production, you will transform prototypes into dependable services with defined SLAs, traceable outputs, and relevant metrics that are crucial in clinical settings.Key Responsibilities:Architect end-to-end systems for literature and guideline ingestion, normalization, metadata extraction, de-duplication, and versioning.Develop hybrid search and retrieval solutions: combining lexical, vector, and re-ranking methodologies while adhering to strict latency and cost constraints.Create grounding and answer synthesis mechanisms that accurately cite sources, maintain provenance, and quantify confidence levels.Lead model enhancements through prompting, fine-tuning, distillation, and integration of tools to boost reliability, coverage, and utility.Establish gold-standard evaluation metrics: including offline information retrieval metrics, factuality audits, and human review processes.Conduct online experiments to continuously refine and validate model performance.
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!
Gridcog
Join Gridcog as a Product Manager - Modelling where you will have the opportunity to shape the future of our innovative products. In this role, you will lead the development and enhancement of cutting-edge modelling solutions that drive our business forward.As a Product Manager, you will work closely with cross-functional teams, including engineering, design, and marketing, to ensure our products meet customer needs and industry standards. Your expertise will guide the product lifecycle from conception to launch, and you will be instrumental in defining product vision and strategy.
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.
Maincode
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.
Culture Amp
Join our innovative team at Culture Amp as an AI Engineer - Applied AI. In this role, you will leverage your expertise in artificial intelligence to develop cutting-edge solutions that enhance our products and services. You will collaborate with cross-functional teams to implement AI methodologies and drive our mission of building a better world of work.
Join Our Team as a Senior Staff Mechatronics Engineer!At Shield AI, our mission is to safeguard service members and civilians with cutting-edge intelligent systems. Founded in 2015, we are a venture-backed deep-tech company dedicated to innovation in defense technology. Our product portfolio includes advanced aircraft like the V-BAT and X-BAT, along with the Hivemind Enterprise and Hivemind Vision product lines. With a global presence spanning the U.S., Europe, the Middle East, and the Asia-Pacific, our technology is actively enhancing operations worldwide. Explore more about us at www.shield.ai and connect with us on LinkedIn, X, Instagram, and YouTube.About the Role:We are on the lookout for a seasoned Mechatronics Engineer with 8-10 years of robust experience in product design and development, preferably in the optical or precision instrumentation sector. The successful candidate will demonstrate profound expertise in the integration of mechanical, electronic, and software systems into sophisticated optical products. You will spearhead the design and development of high-performance optical devices, overseeing the entire process from conception to production while ensuring precision, reliability, and manufacturability.
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.
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