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Suno

Suno

suno.com

6 Jobs

220 Employees

About the Company

Suno is building a future where anyone can make music. Whether you're a shower singer or a charting artist, we break barriers between you and the song you dream of making. No instrument needed, just imagination. From your mind to music.

Listed Jobs

Company background Company brand
Company Name
Suno
Job Title
Software Engineering Internship - Summer 2026
Job Description
Job Title: Software Engineering Internship – Summer 2026 Role Summary: An entry‑level engineering internship focused on building and optimizing Suno’s music creation platform. Interns collaborate with senior engineering on app development, backend services, and scalable product performance. Expactations: - Currently enrolled in a Bachelor’s, Master’s, or PhD program in Computer Science, Software Engineering, or a related technical field. - Minimum cumulative GPA of 3.7. - Willingness to take ownership of projects and learn quickly. - Legal eligibility to work in the United States. Key Responsibilities: - Design, develop, and maintain features for Suno’s music creation and listening applications. - Build and refine backend services to handle consumer traffic, data storage, and user engagement. - Ensure system performance, scalability, and observability across distributed services. - Optimize product performance and user experience to enhance product quality. Required Skills: - Backend or full‑stack development experience or coursework. - Familiarity with distributed systems, databases (e.g., Postgres), and caching (e.g., Redis). - Knowledge of web technologies and frameworks (e.g., React, Node.js). - Strong problem‑solving skills and a proactive learning mindset. - Passion for music and interest in music technology research. Required Education & Certifications: - Enrollment in an accredited university program (Bachelor’s, Master’s, or PhD) in a technical discipline. No additional certifications required.
Boston, United states
On site
19-11-2025
Company background Company brand
Company Name
Suno
Job Title
Software Engineer
Job Description
Job Title: Software Engineer Role Summary: Develop and scale Suno’s music creation and listening platform, contributing to core features across backend and full‑stack components while ensuring high performance, reliability, and observability. Expectations: - 3‑5 years of proven experience in backend or full‑stack development. - Ability to design and implement scalable systems that support massive user traffic. - Strong foundation in software engineering principles, design patterns, and best practices. - Proficiency with Python (Django) or equivalent web frameworks and modern JavaScript frameworks such as React. - Experience working with relational databases (Postgres) and in‑memory data stores (Redis). - Sound problem‑solving skills and meticulous attention to detail. - Effective collaboration in cross‑functional teams. - Willingness to learn distributed systems and scaling techniques. - Eligibility to work in the United States. Key Responsibilities: - Build, deploy, and maintain Suno’s backend services and APIs that support music creation, exploration, and playback. - Design and develop new features for the web application, ensuring responsive performance and a seamless user experience. - Architect robust, scalable architectures capable of handling high traffic and large volumes of data. - Implement monitoring, logging, and observability solutions to maintain system reliability. - Collaborate closely with product managers, designers, and data engineers to translate business requirements into technical solutions. - Participate in code reviews, testing, and continuous integration pipelines to uphold code quality. Required Skills: - Programming languages: Python, JavaScript/TypeScript. - Web frameworks: Django, FastAPI, or similar; React or comparable client‑side libraries. - Databases: Postgres, Redis, general understanding of SQL/NoSQL data models. - DevOps: Docker, Kubernetes, CI/CD pipelines. - Cloud platforms: AWS, GCP, or Azure (experience preferred). - Distributed systems fundamentals: messaging, caching, load balancing. - Agile development practices and collaboration tools (Git, JIRA, Slack). Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience). - No mandatory certifications required, though knowledge of cloud or devops certifications is a plus.
Boston, United states
On site
Junior
19-11-2025
Company background Company brand
Company Name
Suno
Job Title
Software Engineer, Early Career
Job Description
Job Title: Software Engineer, Early Career Role Summary: Contribute to the development of Suno’s AI‑driven music creation and streaming applications, focusing on performance, scalability, and maintainability while collaborating with experienced engineers. Expectations: - Deliver high‑quality, production‑ready code for web and mobile platforms. - Participate in code reviews, adhere to coding standards, and continuously refine technical skills. - Proactively learn about distributed systems, scaling strategies, and observability. Key Responsibilities: - Build and extend features for music creation, exploration, and playback. - Design and implement services that handle high consumer traffic, data, and usage. - Design systems that are performant, scalable, and easy to observe. - Collaborate with cross‑functional teams (product, design, data) to deliver end‑to‑end functionality. - Participate in architectural discussions and contribute to best‑practice documentation. Required Skills: - Strong foundation in CS fundamentals: data structures, algorithms, software design. - Experience with web technologies and modern frameworks (Python, Django, React) or mobile development (iOS/Android). - Basic knowledge of databases and data storage solutions (SQL, NoSQL). - Familiarity with version control (Git), CI/CD pipelines, and testing practices. - Excellent problem‑solving and attention to detail. - Effective collaboration in a team environment. - Willingness to learn distributed systems and scaling concepts. - (Optional) Interest in music and audio technology. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. - Eligibility to work in the United States.
Boston, United states
On site
19-11-2025
Company background Company brand
Company Name
Suno
Job Title
Machine Learning Scientist
Job Description
Job Title: Machine Learning Scientist Role Summary: Lead end‑to‑end development of large generative AI models (LLMs, diffusion) for audio and music applications. Own the full research cycle—from data pipeline design and model training on high‑performance GPU clusters to evaluation and deployment of production‑ready systems. Expectations: - 5+ years of experience building state‑of‑the‑art models with distributed PyTorch. - Proven self‑directed ownership of multiple research projects from conception to production. - Deep expertise in data engineering, model design, training, and evaluation. - Extensive experience training large generative models from scratch. - Passion for music and audio content is highly valued. - Must be legally eligible to work in the United States. Key Responsibilities: - Design, implement, and optimize distributed training pipelines for large generative models. - Build scalable data engineering solutions for audio, text, and multimodal datasets. - Conduct rigorous experiments, hyperparameter sweeps, and performance analyses. - Craft evaluation frameworks for audio quality, creativity, and user engagement. - Integrate models into production systems with reliability and latency targets. - Collaborate closely with product and engineering stakeholders to align research goals with business outcomes. Required Skills: - Advanced proficiency in distributed deep learning (PyTorch Distributed, NCCL, torch.distributed). - Strong command of GPU cluster management, especially H100 or equivalent. - Hands‑on experience with LLMs (transformers) and diffusion models. - Expertise in data pipelines (ETL, streaming, storage) for large‑scale audio datasets. - Solid background in algorithmic research, statistical analysis, and reproducible experimentation. - Excellent problem‑solving, communication, and documentation skills. - Familiarity with CI/CD for ML workflows (Optimus, MLflow, or equivalents) is a plus. Required Education & Certifications: - Bachelor of Science in Computer Science, Electrical Engineering, or related field (advanced degrees strongly preferred). - Master’s or Ph.D. in Machine Learning, Artificial Intelligence, or a closely related discipline is highly desirable. - No mandatory certifications, but knowledge of relevant standards (e.g., IEEE, ISO for data privacy) is advantageous.
Boston, United states
On site
Mid level
26-11-2025
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