Benefits:

• Work directly with industry veterans from Spotify, Soundcloud, Twitch, and YouTube.

• Be part of a passionate, innovative team redefining music creation and interaction - we love music!

• Small, dynamic team backed by leading investors including Amazon’s Alexa Fund, Khosla Ventures, BITKRAFT Ventures and King River Capital.

• Flexible work arrangements, working remotely with a global team with regular trips to our HQ in Brisbane Australia

• The opportunity to contribute to cutting-edge music technology.

Experience Requirements:

• Proven software development experience, ideally in Python (other languages a plus).

• Experience implementing and deploying ML models, using PyTorch framework.

• Familiarity with AWS cloud environment for deploying and scaling ML solutions.

• Ability to preprocess and model unstructured data, especially audio.

• A strong focus on applied problem-solving, with a practical approach to integrating existing tools and systems. Additionally, familiarity with GenAI architectures like transformers, LLMs, or diffusion models.

Other Requirements:

• A good understanding of music, production, or audio technology processes (or a strong interest in music)

• Proactive nature, ability to creatively solve problems you face and bring new ideas to the team.

• Clear and effective communication with technical and non-technical stakeholders.

• Ability to work independently and remotely while collaborating closely with cross-functional teams.

Responsibilities:

• Design and implement ML algorithms to enhance music creation tools and solve various user problems in line with product goals.

• Identify and implement off-the-shelf ML and AI tools to solve practical problems efficiently.

• Understand the requirements of running models in production, including domain shift testing, QA, A/B testing and so on.

• Maintain production-ready code with considerations for how solutions fit the product and enhance the user experience.

• Build scalable, maintainable data pipelines to handle audio and other unstructured data.Collaborate with Product and Engineering teams to ensure seamless integration of ML solutions into production systems. Additionally, evaluate, deploy, and fine-tune pre-trained models for tasks like audio analysis, melody generation, and process automation.

Benefits:

• Work alongside our CTO, CPO and CEO who together bring a wealth of knowledge from previous roles at Soundcloud, Spotify, Twitch and YouTube!

• Work with a small but powerful team backed by leading investors including Amazon’s Alexa Fund, Khosla Ventures, BITKRAFT Ventures and King River Capital

• Be part of a talented and highly-dynamic team that values initiative and imagination - we also love music.

• We offer a competitive salary and remote/flexible work options.

Experience Requirements:

• 5+ years of experience as a Full Stack Engineer, with expertise in both backend and frontend development.

• Expert in AWS cloud services and tooling, including EC2, S3, Lambda, RDS, API Gateway, CloudFormation, Terraform, AWS CDK, and AWS monitoring tools.

• Strong experience with microservices architectures, designing scalable, maintainable, and secure applications.

• Skilled in Python, JavaScript, or similar languages, with a solid understanding of modern frameworks and tools.

• Experience with frontend technologies such as React, TypeScript, or similar, with the ability and willingness to contribute when needed.

Other Requirements:

• A background in music, play an instrument, or have a passion for all things music

• A passion for/understanding of gaming is an added bonus

• For this position we strongly prefer Aussie East Coast timezone

• Ability to share knowledge and set best practice within our team.

• Experience deploying and maintaining ML-powered applications, with exposure to AWS ML services like SageMaker, Bedrock, or integrating ML models into cloud architectures.

• Experience with DevOps and automation, including CI/CD pipelines, infrastructure as code (Terraform, CloudFormation), and containerization (Docker, Kubernetes).

• A passion for mentoring and knowledge sharing, helping the team level up their AWS and ML expertise.

• Interest in ML and AI-driven applications, with a curiosity for how off the shelf ML models can be tailored, deployed and integrated into scalable systems.

• Comfortable working in fast-paced environments, with an iterative mindset and a willingness to adapt to changing requirements.

• Deep understanding of software engineering best practices, including performance optimization, security, and testing strategies.

• Excellent communication skills, able to explain technical concepts to both technical and non-technical audiences.

• A self-driven, proactive mindset, comfortable working in distributed teams with a strong sense of ownership.

Responsibilities:

• Architect, build, and scale full-stack applications, ensuring seamless integration between frontend, backend, and cloud services.

• Lead AWS best practices within the team, helping improve infrastructure, security, and scalability while mentoring others on AWS capabilities.

• Design and develop cloud-native architectures using AWS services (EC2, S3, Lambda, RDS, API Gateway, etc.), ensuring high availability, performance, and security.

• Leverage AWS tooling (CloudFormation, Terraform, CDK, AWS CodePipeline, CloudWatch, etc.) to automate infrastructure management, deployment, and monitoring.

• Work closely with our small team of engineers to ensure smooth communication between backend services and client-facing applications, taking on front-end tickets where applicable. Additionally, support and enhance ML-driven applications, deploying and managing ML models in production using AWS services such as SageMaker, Bedrock, or other ML-related tooling.

Benefits:

• Reduced working year scheme

• Parental leave provisions

• Study support encompassing leave and financial assistance

• Comprehensive professional development

• Salary Packaging

Education Requirements:

• Completion of a doctoral qualification in engineering, computer science, or related discipline.

Experience Requirements:

• A well-formulated research agenda and the willingness or demonstrated capability to independently conduct high-quality research.

• Demonstrated ability to publish research outcomes in top conferences or journals in robotics, computer vision, or machine learning.

• Demonstrated knowledge and expertise in the foundations of robotics, computer vision, machine learning.

• Demonstrated proficiency in Python and experience with ROS, deep learning frameworks such as PyTorch, Linux.

• Excellent communication skills.

Responsibilities:

• Contribute to the research in QCR’s Visual Learning and Understanding Program

• Work closely with a team of academics, research fellow, engineers, PhD students and undergraduates

• Co-supervise PhD students and undergraduate students

• Publish in high-quality conferences and journals in robotics, computer vision, machine learning

• Actively participate and contribute to our collaborative culture within the Centre, including visits to Centre partners and joint publications

Benefits:

• flexible work hours

• professional development opportunities

Benefits:

• Competitive Compensation

• Stability and Respect

• Immediate Start Available

Experience Requirements:

• Relevant experience in plumbing & drainage

• Competent in residential construction plumbing systems

Other Requirements:

• Plumbing license

• Drivers license

• gas license (Highly desirable, but not absolutely necessary)

Responsibilities:

• rough ins & fitoffs & drains