Top Benefits
About the role
Who We Are Founded in 2023 by music industry veteran Matthew Adell, serial startup founder Sean Power, and Machine Learning expert Nicolas Gonzalez Thomas, Musical AI builds technology that makes training on copyrighted content both possible and principled. We have invented verifiable attribution technology that measures the influence of an AI training corpus on generative AI outputs. Our platform includes a licensing layer that connects AI builders with premium copyrighted catalogs under clear terms, so AI companies can move fast in ways that work positively within the entertainment industries.
We partner with AI companies, labels and publishers to make consent, credit and compensation practical at scale. To learn more about us, read our full Manifesto. We are backed by incredible VCs who understand our vision and support us in execution. This is your chance to join from the ground floor, help shape our product, and leave your mark on something that will change the music industry forever.
We're first-to-market in our category because we move fast, thoughtfully experiment, and balance innovation with practical delivery. We have a big idea and we need a team that can help us get it done. Our values define how we work: innovation, adaptability, accountability, collaboration, urgency, and value creation.
Who We're Looking For We're looking for a curious, collaborative, and impact-driven AI Infrastructure & DevOps Engineer who wants to build the backbone of a groundbreaking platform at the intersection of AI and music. As an early technical leader, you'll take ownership of the systems that make large-scale attribution and licensing possible – ensuring our platform runs reliably, efficiently, and securely across millions of creative works.
You don't have to be a music theory expert, but you do need to care about building infrastructure that helps AI and creativity coexist responsibly. You'll thrive in our team if you're pragmatic, adaptable, and excited to build real systems in a fast-moving environment. We value shipping, testing, and improving over perfection — and we take pride in building technology that genuinely makes a difference.
We're remote-first across Canada and come together as a team a minimum of twice a year. All applicants must live and be eligible to work in Canada.
Your Experience
- 5–10 years building and operating scalable distributed systems in cloud environments.
- Deep hands-on experience with AWS (S3, ECS/EKS, SageMaker, Lambda, OpenSearch, DynamoDB).
- Proven track record with CI/CD, observability, cost optimization, and reliability engineering.
- Experience managing MLOps or data pipelines at scale is a strong plus.
- Understanding of enterprise security, compliance, and data governance.
- Prior exposure to music, media, or AI/ML platforms is a bonus.
Your Tool Stack
- Stack: Python 3.10+, FastAPI, PostgreSQL, Redis, Terraform, Docker, Kubernetes
- Cloud: AWS (S3, ECS, SageMaker, Lambda, OpenSearch), CloudWatch, Prometheus, Grafana
- Scale: Millions of data assets, high-throughput inference APIs, 99.9% uptime SLA
What You'll Be Doing Infrastructure & Scaling
- Design RESTful and GraphQL APIs for real-time audio attribution requests
- Build WebSocket connections for streaming audio analysis
- Implement authentication, authorization, and rate limiting for enterprise clients
- Create comprehensive API documentation and versioning strategies
Reliability & Operations
- Architect distributed systems handling millions of daily attribution requests
- Design auto-scaling infrastructure with load balancing and fault tolerance
- Implement distributed vector indexing with FAISS optimization
- Build caching layers and database sharding for massive music catalogs
Performance & Operations Optimize API response times (<100ms) and vector search performance- Implement monitoring, alerting, and observability systems
-
Design automated deployment pipelines and disaster recovery
-
Build performance benchmarking and load testing frameworks
-
Mentor developers on DevOps best practices and help set infrastructure standards
-
Write clear documentation and deployment playbooks for reproducibility and scale Why You'll Love Working Here
-
Part of a first-to-market company shaping the future of music and AI from the earliest stages.
-
Work with founders and teammates who care deeply about both art and technology.
-
Join a Canadian remote-first team that values flexibility, inclusivity, and creativity.
-
Work in a culture that celebrates speed, experimentation, and impact.
-
Competitive salary, meaningful equity, and the chance to grow as we grow.
The Interview Process Step 1: A Google Meet conversation with Nicolas Gonzalez Thomas, CTO and hiring manager, to introduce the role and the company, and to explore your interest in the role, previous experience, and goals.
Step 2: A Google Meet conversation with Nicolas Gonzalez Thomas including a technical assessment. We'll dive deeper into your previous experience, technical skills, and working style.
Step 3: A Google Meet conversation with Sean Power (CEO) and Matt Adell (COO) and focused on values alignment and the impact you'd like to make at Musical AI.
Step 4: If there is a mutual fit, we'll move forward with an offer!
Anticipated Start Date: November 2025 Accommodations and Accessibility: In line with Accessibility Standards Canada, Musical AI provides employment accommodation during the recruitment process. Should you require any accommodation, please indicate this on your application and we will work with you to meet your accessibility needs. For any questions, suggestions or required documents regarding accessibility in a different format, please contact us directly. Generative AI is not used as part of our screening, candidate selection, or interviewing process. Inclusion: In line with the Canadian Human Rights Act, w e are committed to building an environment where everyone feels included, valued, and heard. Diversity, inclusion, and belonging are an integral part of building ethical and safe AI technology, and it is our belief that they enable us to reach our goal of building technology that changes the world of music. We strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
Top Benefits
About the role
Who We Are Founded in 2023 by music industry veteran Matthew Adell, serial startup founder Sean Power, and Machine Learning expert Nicolas Gonzalez Thomas, Musical AI builds technology that makes training on copyrighted content both possible and principled. We have invented verifiable attribution technology that measures the influence of an AI training corpus on generative AI outputs. Our platform includes a licensing layer that connects AI builders with premium copyrighted catalogs under clear terms, so AI companies can move fast in ways that work positively within the entertainment industries.
We partner with AI companies, labels and publishers to make consent, credit and compensation practical at scale. To learn more about us, read our full Manifesto. We are backed by incredible VCs who understand our vision and support us in execution. This is your chance to join from the ground floor, help shape our product, and leave your mark on something that will change the music industry forever.
We're first-to-market in our category because we move fast, thoughtfully experiment, and balance innovation with practical delivery. We have a big idea and we need a team that can help us get it done. Our values define how we work: innovation, adaptability, accountability, collaboration, urgency, and value creation.
Who We're Looking For We're looking for a curious, collaborative, and impact-driven AI Infrastructure & DevOps Engineer who wants to build the backbone of a groundbreaking platform at the intersection of AI and music. As an early technical leader, you'll take ownership of the systems that make large-scale attribution and licensing possible – ensuring our platform runs reliably, efficiently, and securely across millions of creative works.
You don't have to be a music theory expert, but you do need to care about building infrastructure that helps AI and creativity coexist responsibly. You'll thrive in our team if you're pragmatic, adaptable, and excited to build real systems in a fast-moving environment. We value shipping, testing, and improving over perfection — and we take pride in building technology that genuinely makes a difference.
We're remote-first across Canada and come together as a team a minimum of twice a year. All applicants must live and be eligible to work in Canada.
Your Experience
- 5–10 years building and operating scalable distributed systems in cloud environments.
- Deep hands-on experience with AWS (S3, ECS/EKS, SageMaker, Lambda, OpenSearch, DynamoDB).
- Proven track record with CI/CD, observability, cost optimization, and reliability engineering.
- Experience managing MLOps or data pipelines at scale is a strong plus.
- Understanding of enterprise security, compliance, and data governance.
- Prior exposure to music, media, or AI/ML platforms is a bonus.
Your Tool Stack
- Stack: Python 3.10+, FastAPI, PostgreSQL, Redis, Terraform, Docker, Kubernetes
- Cloud: AWS (S3, ECS, SageMaker, Lambda, OpenSearch), CloudWatch, Prometheus, Grafana
- Scale: Millions of data assets, high-throughput inference APIs, 99.9% uptime SLA
What You'll Be Doing Infrastructure & Scaling
- Design RESTful and GraphQL APIs for real-time audio attribution requests
- Build WebSocket connections for streaming audio analysis
- Implement authentication, authorization, and rate limiting for enterprise clients
- Create comprehensive API documentation and versioning strategies
Reliability & Operations
- Architect distributed systems handling millions of daily attribution requests
- Design auto-scaling infrastructure with load balancing and fault tolerance
- Implement distributed vector indexing with FAISS optimization
- Build caching layers and database sharding for massive music catalogs
Performance & Operations Optimize API response times (<100ms) and vector search performance- Implement monitoring, alerting, and observability systems
-
Design automated deployment pipelines and disaster recovery
-
Build performance benchmarking and load testing frameworks
-
Mentor developers on DevOps best practices and help set infrastructure standards
-
Write clear documentation and deployment playbooks for reproducibility and scale Why You'll Love Working Here
-
Part of a first-to-market company shaping the future of music and AI from the earliest stages.
-
Work with founders and teammates who care deeply about both art and technology.
-
Join a Canadian remote-first team that values flexibility, inclusivity, and creativity.
-
Work in a culture that celebrates speed, experimentation, and impact.
-
Competitive salary, meaningful equity, and the chance to grow as we grow.
The Interview Process Step 1: A Google Meet conversation with Nicolas Gonzalez Thomas, CTO and hiring manager, to introduce the role and the company, and to explore your interest in the role, previous experience, and goals.
Step 2: A Google Meet conversation with Nicolas Gonzalez Thomas including a technical assessment. We'll dive deeper into your previous experience, technical skills, and working style.
Step 3: A Google Meet conversation with Sean Power (CEO) and Matt Adell (COO) and focused on values alignment and the impact you'd like to make at Musical AI.
Step 4: If there is a mutual fit, we'll move forward with an offer!
Anticipated Start Date: November 2025 Accommodations and Accessibility: In line with Accessibility Standards Canada, Musical AI provides employment accommodation during the recruitment process. Should you require any accommodation, please indicate this on your application and we will work with you to meet your accessibility needs. For any questions, suggestions or required documents regarding accessibility in a different format, please contact us directly. Generative AI is not used as part of our screening, candidate selection, or interviewing process. Inclusion: In line with the Canadian Human Rights Act, w e are committed to building an environment where everyone feels included, valued, and heard. Diversity, inclusion, and belonging are an integral part of building ethical and safe AI technology, and it is our belief that they enable us to reach our goal of building technology that changes the world of music. We strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.