About the Role
SoundCloud is seeking a Machine Learning leader to architect the next era of Musical Intelligence at SoundCloud. As a Senior Principal Engineer, you will combine deep technical expertise with strategic vision and people leadership to drive the development of large-scale recommendation, personalization, and search systems. The mission is clear: architect systems to extract high-fidelity insights from user interactions with the world’s largest audio dataset to connect artists and fans through music. You will define the technical North Star for ML across engineering, delivering impactful data-driven products while leading and growing a high-performing team of Engineers and Scientists. This role reports directly to the Chief Technology Officer and will work in lockstep with the Music Intelligence, Content, and Recommendations teams. You will also be part of a small group leading the charge in architecting the agentic workflows and LLM-assisted systems that will allow us to ship Musical Intelligence at 10x the speed of traditional teams.
Key Responsibilities
- Lead the technical strategy and execution for SoundCloud’s ML systems (e.g., recommendation, ranking, personalization), including model development, deployment, and scaling.
- Lead the exploration of advanced modeling techniques including Deep Neural Networks, LLMs, large recommender systems, multi-modal embeddings and transformer-based architectures to create unique and impactful listening experiences.
- Define and drive the overall technical direction for ML in SoundCloud including model architecture, feature engineering, training and serving infrastructure at scale, feature stores, pipeline orchestration, and model registry and versioning all aimed at accelerating our ability to bring ML-powered features to market.
- Own short- and long-term objectives, ensuring ML investments deliver measurable user and business impact.
- Lead, mentor, and grow ML Engineers and Scientists across SoundCloud.
- Be a strategic partner to the CTO in bringing an “ML Everywhere” strategy to all surfaces in the product (both Creator and Fan), and helping to lead the charge on AI-native engineering.
- Stay current with industry trends and advancements in machine learning, identifying opportunities to apply them at SoundCloud.
- Lead the leveraging of agentic workflows and AI-assisted engineering as a force multiplier to work at 10x the speed of traditional methods.
Experience and Background
- 10+ years of experience in ML engineering, plus 3+ years in search or recommendations in an internet scale service with the reach of tens of millions of daily active users. Experience in a music streaming environment is a bonus.
- Proven track record of defining technical strategy and driving execution for large-scale ML systems, particularly in recommendation, personalization, or search.
- Experience setting technical roadmaps, influencing cross-functional priorities, and balancing business, product, and engineering trade-offs at an organizational level.
- Experience leading and scaling teams of ML Engineers and Scientists, including hiring, mentoring, and developing high-performing talent.
- Deep expertise in delivering data-driven products and ML solutions at scale on cloud-based platforms, with strong understanding of infrastructure and lifecycle management.
- Hands-on familiarity with modern ML frameworks (PyTorch, TensorFlow) and data processing pipelines, combined with strong software engineering foundations.
- Thought leadership in ML and data science, with a track record of driving technical innovation and applying emerging industry trends.
- Exceptional communication, strategic influence, and cross-functional leadership skills across senior stakeholders and global teams.