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We are seeking a talented and driven Mid-Level Platform Engineer specializing in Observability to join our dynamic team at Kraken123. In this role, you will be responsible for enhancing our platform's capabilities, ensuring robust monitoring and observability across our systems to improve performance, reliability, and scalability. You will collaborate with cross-functional teams to design and implement observability solutions that provide actionable insights into our platform's operations.
We are seeking a talented and driven Mid-Level Platform Engineer specializing in Observability to join our dynamic team at Kraken123. In this role, you will be responsible for enhancing our platform's capabilities, ensuring robust monitoring and observability across our systems to improve performance, reliability, and scalability. You will collaborate with c…
Role Overview Datacom is looking for a Senior Endpoint Engineering Specialist based in Melbourne, Victoria. This role focuses on designing, implementing, and optimizing endpoint management solutions across a range of devices. The position is central to maintaining strong security and reliable performance for all endpoints. What You Will Do Design and implement endpoint configurations to support business needs Optimize device performance and security across the organization Collaborate with teams from different disciplines to develop new solutions Troubleshoot and resolve complex endpoint issues Mentor junior engineers and share technical knowledge Who Datacom Is Looking For This position suits someone with a strong background in endpoint management, a knack for solving technical challenges, and an interest in guiding others. Experience working with cross-functional teams and a commitment to high security standards are important for success in this role.
Role overview AECOM seeks a Director of Structural Engineering to lead its Energy sector projects in Melbourne. This leadership role centers on managing a team of structural engineers and delivering solutions for a variety of energy-focused initiatives. The position carries responsibility for both technical direction and team development within the energy project portfolio. What you will do Guide and mentor a team of structural engineers working on energy projects Create and apply design strategies for complex energy sector work Collaborate with multidisciplinary groups to achieve project goals Uphold quality standards and ensure compliance with industry regulations Promote continuous improvement in project delivery and foster a culture of excellence within the team Requirements Significant experience in structural engineering, particularly within the energy sector Demonstrated leadership and experience managing engineering teams Strong ability to work across disciplines and drive project outcomes Dedication to quality, safety, and adherence to industry best practices This position offers the opportunity to influence major energy projects and shape the direction of a committed team at AECOM in Melbourne.
Join Binance as a Senior/Staff DevOps Engineer specializing in Trading Technology. In this pivotal role, you will leverage your expertise to optimize our trading platforms, ensuring high availability and performance. You will collaborate with cross-functional teams to enhance system architecture and drive automation initiatives.The ideal candidate possesses a strong background in DevOps practices, cloud technologies, and CI/CD pipelines. You will be instrumental in scaling our infrastructure and enhancing the development workflow.
Colliers seeks a Project Manager to join the Engineering & Design team in Melbourne. This position focuses on leading projects from initiation through completion, with a strong emphasis on meeting deadlines, staying within budget, and upholding quality standards. Key responsibilities Lead engineering and design projects through all stages, ensuring objectives are met Coordinate with cross-functional teams to organize tasks and allocate resources Monitor project timelines and progress to maintain schedules Maintain clear communication with stakeholders, providing updates and addressing any issues Utilize project management methodologies to drive successful project delivery Location This role is based in Melbourne.
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.
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 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 Catapult Sports as a Principal Firmware Engineer / Team Lead, where you will lead a talented team in developing cutting-edge firmware solutions for our advanced sports technology products. This role offers a unique opportunity to shape the future of athletic performance through innovative technology.
Qantas Group seeks an Engineering Training Instructor based in Melbourne. This technical trainer role centers on providing instruction to engineers working in the aviation industry. Role overview The position involves guiding engineers through training sessions that help build and maintain the skills needed for aviation work. The instructor plays a key part in ensuring engineers meet current industry standards and expectations. What you will do Deliver technical training to engineers in the aviation sector Support the development of engineering skills and knowledge Help ensure training content aligns with industry requirements Location This role is based in Melbourne.
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
Job Title: Electrical Engineer – Circuit Design (Avionics Components)Location: Melbourne, FLJob Type: Full-TimeAbout the Role:We are looking for a skilled Electrical Engineer specializing in circuit design for avionics components and systems. This full-time position involves designing, troubleshooting, and updating circuit boards and assemblies that are compatible with legacy aerospace platforms. If you possess a strong background in schematic capture and PCB layout, we want to hear from you!Key Responsibilities:- Design, develop, and refine electrical circuits, schematics, and PCB layouts.- Conduct reverse engineering and redesign for obsolete avionics components.- Collaborate with multidisciplinary teams to ensure compliance with aerospace industry standards.- Perform testing, validation, and troubleshooting of circuit boards and electronic systems.- Create technical documentation, including design reports and compliance records.- Assist in sustaining engineering activities to prolong the lifecycle of existing avionics products.Qualifications:- Bachelor’s degree in Electrical Engineering or a related discipline.- A minimum of 5 years of experience in circuit design, schematic capture, and PCB layout.- Practical knowledge of older avionics systems or military/aerospace electronics.- Proficiency in schematic capture and PCB layout tools such as Altium, OrCAD, or Mentor Graphics.- Comprehensive understanding of analog and digital circuit design and component-level troubleshooting.- Familiarity with aerospace standards like DO-160 or MIL-STD is an advantage.- Exceptional problem-solving, documentation, and communication skills.
About UsAt Heidi, we believe healthcare deserves a more harmonious rhythm—one that fosters continuous and profoundly human care. We are developing an AI Care Partner that collaborates with clinicians to facilitate this vision.Our diverse team comprises doctors, engineers, designers, researchers, and creatives dedicated to building tools that enable clinicians to concentrate on their primary focus: their patients.In just over 18 months, Heidi has reclaimed more than 18 million hours for healthcare professionals, supporting 73 million patient visits across 116 countries. Currently, our platform empowers over two million patient visits each week globally.With nearly $100 million in funding, we are expanding our reach 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 DevOps Engineer, you will play a crucial role in building and scaling the cloud infrastructure that powers our healthcare AI platform. You will be part of the Engineering Platform team, focusing on reliability, automation, and developer productivity. Your responsibilities will include working across AWS and Azure environments, managing Kubernetes workloads, enhancing CI/CD pipelines, and ensuring security and observability are integrated into our deliverables.Key ResponsibilitiesLead infrastructure automation efforts by developing and maintaining Terraform modules, Helm charts, and reusable CI/CD workflows using GitHub Actions.Scale our Kubernetes platform by managing and improving EKS clusters across multiple regions, adding new services, enhancing security, and optimizing deployment processes.Enhance observability by implementing metrics, logs, and tracing solutions utilizing Datadog, OpenTelemetry, and synthetic monitoring techniques.Increase release reliability by establishing safe deployment patterns, including canary releases, blue/green deployments, and managing environment promotion flows.Support developer self-service initiatives by expanding tooling resources for application teams, including environment scaffolds, secrets management, and automated provisioning.Ensure security and compliance by implementing least-privilege IAM practices, secret rotation, image signing, and supply-chain hardening measures.Work collaboratively across functions with product teams to embed reliability, incident response, and SLO ownership into our processes.
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 UsAt Heidi Health, we believe that healthcare deserves a more harmonious approach—one that fosters continuous, human-centered care. Our innovative AI Care Partner is designed to collaborate seamlessly with clinicians, enhancing the quality of care delivered to patients.Our diverse team comprises doctors, engineers, designers, researchers, and creatives, all dedicated to developing solutions that empower clinicians to prioritize their patients effectively.In just a year and a half, Heidi has reclaimed over 18 million hours for healthcare professionals globally, supporting 73 million patient visits across 116 countries. Currently, we power more than two million patient visits weekly worldwide.With nearly $100 million in funding, we are expanding our footprint in the US, UK, Canada, and Europe, partnering with leading health systems such as NHS, Beth Israel Lahey Health, and Monash Health.
Join Databricks as a Field Engineering Manager!We are seeking a dynamic and experienced Field Engineering Manager to lead our Solutions Architects team in Melbourne. In this role, you will be responsible for building and leading a pre-sales team focused on delivering exceptional solutions to our clients. Your ability to collaborate with the sales organization will be crucial in driving revenue growth and mentoring new team members. You will play a vital role in enhancing team effectiveness, communicating complex value-driven solutions, supporting intricate sales cycles, and establishing strong relationships with key stakeholders within client companies.Your Responsibilities:Recruit and develop a high-performing pre-sales team of Solutions Architects.Scale the designated Field Engineering segment organization efficiently while maintaining high-quality standards.Create a collaborative culture within a rapidly growing team, embodying Databricks' commitment to customer obsession, teamwork, and diversity.Boost the return on investment of Solution Architect involvement in sales cycles by 2-3x within 18 months.Foster a solution and value-based selling approach within the field engineering organization.Understand and address business needs and revenue potential for assigned accounts.Enhance Databricks' brand in collaboration with the Marketing and Sales teams.
Join Binance, a pioneering global blockchain ecosystem that powers the world's largest cryptocurrency exchange by trading volume and registered users. With over 300 million users across 100+ countries, we are renowned for our exceptional security, transparency in user funds, rapid trading engine, deep liquidity, and a diverse array of digital asset products. Our offerings span trading, finance, education, research, payments, institutional services, Web3 features, and beyond. We harness the power of digital assets and blockchain technology to create an inclusive financial ecosystem, promoting financial freedom and enhancing access for people worldwide.We are on the lookout for a Senior DevOps Engineer or DevOps Architect to take our infrastructure and configuration management to the next level.In this pivotal role, you will utilize your expertise in designing, implementing, and maintaining large-scale, mission-critical systems. Your responsibilities will include architecting and enhancing our infrastructure solutions, streamlining deployment processes, and facilitating system migrations in close collaboration with our Development and QA teams. Key responsibilities encompass advancing our infrastructure architecture, automating operational workflows, improving system observability, and proactively addressing potential production challenges through scalable and resilient solutions.
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
At KnowBe4, we are the global frontrunners in Human Risk Management, empowering over 70,000 organizations across the globe to safeguard their workforce and AI technologies for more than 15 years. Our pioneering spirit in security innovation is driven by AI advancements since 2016, establishing us as the market leader from day one.Our HRM+ platform merges continuous risk intelligence, robust technical defenses, and tailored training programs to foster a resilient security culture within organizations. We are dedicated to helping organizations understand, evaluate, and mitigate human risks across their entire workforce, defending against threats such as deepfakes and other emerging AI-driven risks.We believe that safeguarding organizations from cyber threats goes hand in hand with making a positive environmental impact. True resilience is a collective effort that involves protecting our people, data, and planet.
About UsAt Heidi Health, we believe that healthcare deserves a more harmonious approach—one that fosters continuity and compassion in care. We are developing an AI Care Partner designed to assist clinicians in delivering superior patient care.Our diverse team of medical professionals, engineers, designers, researchers, and innovators is committed to creating solutions that empower clinicians to prioritize their patients' needs.In just a year and a half, Heidi has reclaimed over 18 million hours for healthcare professionals, facilitating 73 million patient interactions in 116 countries. Currently, Heidi supports over two million patient visits weekly around the globe.With nearly $100 million in funding, we are expanding our presence in the US, UK, Canada, and Europe, collaborating with prestigious health systems such as the NHS, Beth Israel Lahey Health, and Monash Health.Your RoleAs a Senior LLMOps Engineer on the Model Platform team, you will work closely with our Engineering Manager to lead the development of a robust infrastructure that supports our model lifecycle. Your primary goal will be to establish a scalable and reliable platform for the deployment and management of our large language models (LLMs). You will spearhead the design and execution of our LLMOps strategy, ensuring seamless transitions for our AI engineers from model development to production.You will leverage your extensive infrastructure expertise alongside MLOps principles to tackle the critical challenges of serving models at scale.Key Responsibilities:Lead LLMOps Platform Development: Architect, design, and implement our comprehensive LLMOps platform, overseeing everything from data ingestion and model training pipelines to production deployment and monitoring.Automate the LLM Lifecycle: Develop and sustain robust CI/CD/CT (Continuous Integration/Continuous Delivery/Continuous Training) pipelines to automate the testing, validation, and deployment of large language models.Ensure Scalable and Reliable Deployment: Create highly available and scalable model serving solutions utilizing modern infrastructure such as Kubernetes, ensuring low latency and high throughput for our production services.Collaborate with AI and Engineering Teams: Work in partnership with AI engineers and other technical teams to enhance our model deployment processes.
We are seeking a talented and driven Mid-Level Platform Engineer specializing in Observability to join our dynamic team at Kraken123. In this role, you will be responsible for enhancing our platform's capabilities, ensuring robust monitoring and observability across our systems to improve performance, reliability, and scalability. You will collaborate with c…
Role Overview Datacom is looking for a Senior Endpoint Engineering Specialist based in Melbourne, Victoria. This role focuses on designing, implementing, and optimizing endpoint management solutions across a range of devices. The position is central to maintaining strong security and reliable performance for all endpoints. What You Will Do Design and implement endpoint configurations to support business needs Optimize device performance and security across the organization Collaborate with teams from different disciplines to develop new solutions Troubleshoot and resolve complex endpoint issues Mentor junior engineers and share technical knowledge Who Datacom Is Looking For This position suits someone with a strong background in endpoint management, a knack for solving technical challenges, and an interest in guiding others. Experience working with cross-functional teams and a commitment to high security standards are important for success in this role.
Role overview AECOM seeks a Director of Structural Engineering to lead its Energy sector projects in Melbourne. This leadership role centers on managing a team of structural engineers and delivering solutions for a variety of energy-focused initiatives. The position carries responsibility for both technical direction and team development within the energy project portfolio. What you will do Guide and mentor a team of structural engineers working on energy projects Create and apply design strategies for complex energy sector work Collaborate with multidisciplinary groups to achieve project goals Uphold quality standards and ensure compliance with industry regulations Promote continuous improvement in project delivery and foster a culture of excellence within the team Requirements Significant experience in structural engineering, particularly within the energy sector Demonstrated leadership and experience managing engineering teams Strong ability to work across disciplines and drive project outcomes Dedication to quality, safety, and adherence to industry best practices This position offers the opportunity to influence major energy projects and shape the direction of a committed team at AECOM in Melbourne.
Join Binance as a Senior/Staff DevOps Engineer specializing in Trading Technology. In this pivotal role, you will leverage your expertise to optimize our trading platforms, ensuring high availability and performance. You will collaborate with cross-functional teams to enhance system architecture and drive automation initiatives.The ideal candidate possesses a strong background in DevOps practices, cloud technologies, and CI/CD pipelines. You will be instrumental in scaling our infrastructure and enhancing the development workflow.
Colliers seeks a Project Manager to join the Engineering & Design team in Melbourne. This position focuses on leading projects from initiation through completion, with a strong emphasis on meeting deadlines, staying within budget, and upholding quality standards. Key responsibilities Lead engineering and design projects through all stages, ensuring objectives are met Coordinate with cross-functional teams to organize tasks and allocate resources Monitor project timelines and progress to maintain schedules Maintain clear communication with stakeholders, providing updates and addressing any issues Utilize project management methodologies to drive successful project delivery Location This role is based in Melbourne.
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.
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 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 Catapult Sports as a Principal Firmware Engineer / Team Lead, where you will lead a talented team in developing cutting-edge firmware solutions for our advanced sports technology products. This role offers a unique opportunity to shape the future of athletic performance through innovative technology.
Qantas Group seeks an Engineering Training Instructor based in Melbourne. This technical trainer role centers on providing instruction to engineers working in the aviation industry. Role overview The position involves guiding engineers through training sessions that help build and maintain the skills needed for aviation work. The instructor plays a key part in ensuring engineers meet current industry standards and expectations. What you will do Deliver technical training to engineers in the aviation sector Support the development of engineering skills and knowledge Help ensure training content aligns with industry requirements Location This role is based in Melbourne.
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
Job Title: Electrical Engineer – Circuit Design (Avionics Components)Location: Melbourne, FLJob Type: Full-TimeAbout the Role:We are looking for a skilled Electrical Engineer specializing in circuit design for avionics components and systems. This full-time position involves designing, troubleshooting, and updating circuit boards and assemblies that are compatible with legacy aerospace platforms. If you possess a strong background in schematic capture and PCB layout, we want to hear from you!Key Responsibilities:- Design, develop, and refine electrical circuits, schematics, and PCB layouts.- Conduct reverse engineering and redesign for obsolete avionics components.- Collaborate with multidisciplinary teams to ensure compliance with aerospace industry standards.- Perform testing, validation, and troubleshooting of circuit boards and electronic systems.- Create technical documentation, including design reports and compliance records.- Assist in sustaining engineering activities to prolong the lifecycle of existing avionics products.Qualifications:- Bachelor’s degree in Electrical Engineering or a related discipline.- A minimum of 5 years of experience in circuit design, schematic capture, and PCB layout.- Practical knowledge of older avionics systems or military/aerospace electronics.- Proficiency in schematic capture and PCB layout tools such as Altium, OrCAD, or Mentor Graphics.- Comprehensive understanding of analog and digital circuit design and component-level troubleshooting.- Familiarity with aerospace standards like DO-160 or MIL-STD is an advantage.- Exceptional problem-solving, documentation, and communication skills.
About UsAt Heidi, we believe healthcare deserves a more harmonious rhythm—one that fosters continuous and profoundly human care. We are developing an AI Care Partner that collaborates with clinicians to facilitate this vision.Our diverse team comprises doctors, engineers, designers, researchers, and creatives dedicated to building tools that enable clinicians to concentrate on their primary focus: their patients.In just over 18 months, Heidi has reclaimed more than 18 million hours for healthcare professionals, supporting 73 million patient visits across 116 countries. Currently, our platform empowers over two million patient visits each week globally.With nearly $100 million in funding, we are expanding our reach 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 DevOps Engineer, you will play a crucial role in building and scaling the cloud infrastructure that powers our healthcare AI platform. You will be part of the Engineering Platform team, focusing on reliability, automation, and developer productivity. Your responsibilities will include working across AWS and Azure environments, managing Kubernetes workloads, enhancing CI/CD pipelines, and ensuring security and observability are integrated into our deliverables.Key ResponsibilitiesLead infrastructure automation efforts by developing and maintaining Terraform modules, Helm charts, and reusable CI/CD workflows using GitHub Actions.Scale our Kubernetes platform by managing and improving EKS clusters across multiple regions, adding new services, enhancing security, and optimizing deployment processes.Enhance observability by implementing metrics, logs, and tracing solutions utilizing Datadog, OpenTelemetry, and synthetic monitoring techniques.Increase release reliability by establishing safe deployment patterns, including canary releases, blue/green deployments, and managing environment promotion flows.Support developer self-service initiatives by expanding tooling resources for application teams, including environment scaffolds, secrets management, and automated provisioning.Ensure security and compliance by implementing least-privilege IAM practices, secret rotation, image signing, and supply-chain hardening measures.Work collaboratively across functions with product teams to embed reliability, incident response, and SLO ownership into our processes.
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 UsAt Heidi Health, we believe that healthcare deserves a more harmonious approach—one that fosters continuous, human-centered care. Our innovative AI Care Partner is designed to collaborate seamlessly with clinicians, enhancing the quality of care delivered to patients.Our diverse team comprises doctors, engineers, designers, researchers, and creatives, all dedicated to developing solutions that empower clinicians to prioritize their patients effectively.In just a year and a half, Heidi has reclaimed over 18 million hours for healthcare professionals globally, supporting 73 million patient visits across 116 countries. Currently, we power more than two million patient visits weekly worldwide.With nearly $100 million in funding, we are expanding our footprint in the US, UK, Canada, and Europe, partnering with leading health systems such as NHS, Beth Israel Lahey Health, and Monash Health.
Join Databricks as a Field Engineering Manager!We are seeking a dynamic and experienced Field Engineering Manager to lead our Solutions Architects team in Melbourne. In this role, you will be responsible for building and leading a pre-sales team focused on delivering exceptional solutions to our clients. Your ability to collaborate with the sales organization will be crucial in driving revenue growth and mentoring new team members. You will play a vital role in enhancing team effectiveness, communicating complex value-driven solutions, supporting intricate sales cycles, and establishing strong relationships with key stakeholders within client companies.Your Responsibilities:Recruit and develop a high-performing pre-sales team of Solutions Architects.Scale the designated Field Engineering segment organization efficiently while maintaining high-quality standards.Create a collaborative culture within a rapidly growing team, embodying Databricks' commitment to customer obsession, teamwork, and diversity.Boost the return on investment of Solution Architect involvement in sales cycles by 2-3x within 18 months.Foster a solution and value-based selling approach within the field engineering organization.Understand and address business needs and revenue potential for assigned accounts.Enhance Databricks' brand in collaboration with the Marketing and Sales teams.
Join Binance, a pioneering global blockchain ecosystem that powers the world's largest cryptocurrency exchange by trading volume and registered users. With over 300 million users across 100+ countries, we are renowned for our exceptional security, transparency in user funds, rapid trading engine, deep liquidity, and a diverse array of digital asset products. Our offerings span trading, finance, education, research, payments, institutional services, Web3 features, and beyond. We harness the power of digital assets and blockchain technology to create an inclusive financial ecosystem, promoting financial freedom and enhancing access for people worldwide.We are on the lookout for a Senior DevOps Engineer or DevOps Architect to take our infrastructure and configuration management to the next level.In this pivotal role, you will utilize your expertise in designing, implementing, and maintaining large-scale, mission-critical systems. Your responsibilities will include architecting and enhancing our infrastructure solutions, streamlining deployment processes, and facilitating system migrations in close collaboration with our Development and QA teams. Key responsibilities encompass advancing our infrastructure architecture, automating operational workflows, improving system observability, and proactively addressing potential production challenges through scalable and resilient solutions.
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
At KnowBe4, we are the global frontrunners in Human Risk Management, empowering over 70,000 organizations across the globe to safeguard their workforce and AI technologies for more than 15 years. Our pioneering spirit in security innovation is driven by AI advancements since 2016, establishing us as the market leader from day one.Our HRM+ platform merges continuous risk intelligence, robust technical defenses, and tailored training programs to foster a resilient security culture within organizations. We are dedicated to helping organizations understand, evaluate, and mitigate human risks across their entire workforce, defending against threats such as deepfakes and other emerging AI-driven risks.We believe that safeguarding organizations from cyber threats goes hand in hand with making a positive environmental impact. True resilience is a collective effort that involves protecting our people, data, and planet.
About UsAt Heidi Health, we believe that healthcare deserves a more harmonious approach—one that fosters continuity and compassion in care. We are developing an AI Care Partner designed to assist clinicians in delivering superior patient care.Our diverse team of medical professionals, engineers, designers, researchers, and innovators is committed to creating solutions that empower clinicians to prioritize their patients' needs.In just a year and a half, Heidi has reclaimed over 18 million hours for healthcare professionals, facilitating 73 million patient interactions in 116 countries. Currently, Heidi supports over two million patient visits weekly around the globe.With nearly $100 million in funding, we are expanding our presence in the US, UK, Canada, and Europe, collaborating with prestigious health systems such as the NHS, Beth Israel Lahey Health, and Monash Health.Your RoleAs a Senior LLMOps Engineer on the Model Platform team, you will work closely with our Engineering Manager to lead the development of a robust infrastructure that supports our model lifecycle. Your primary goal will be to establish a scalable and reliable platform for the deployment and management of our large language models (LLMs). You will spearhead the design and execution of our LLMOps strategy, ensuring seamless transitions for our AI engineers from model development to production.You will leverage your extensive infrastructure expertise alongside MLOps principles to tackle the critical challenges of serving models at scale.Key Responsibilities:Lead LLMOps Platform Development: Architect, design, and implement our comprehensive LLMOps platform, overseeing everything from data ingestion and model training pipelines to production deployment and monitoring.Automate the LLM Lifecycle: Develop and sustain robust CI/CD/CT (Continuous Integration/Continuous Delivery/Continuous Training) pipelines to automate the testing, validation, and deployment of large language models.Ensure Scalable and Reliable Deployment: Create highly available and scalable model serving solutions utilizing modern infrastructure such as Kubernetes, ensuring low latency and high throughput for our production services.Collaborate with AI and Engineering Teams: Work in partnership with AI engineers and other technical teams to enhance our model deployment processes.
