Soundcloud71
Senior Principal Machine Learning Engineer
New York · Principal
Sponsorship not specified$280k-$325kDetected 35 days ago
Machine LearningTensorFlowPyTorchData ScienceNLPLLMsPhotographyLeadershipCommunicationMentoring
About the role
- SoundCloud empowers artists, tastemakers and fans to connect and share through music.
- SoundCloud is seeking a Machine Learning leader to architect the next era of Musical Intelligence at SoundCloud.
- 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.
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
- Lead the leveraging of agentic workflows and AI-assisted engineering as a force multiplier to work at 10x the speed of traditional methods
- Experience leading and scaling teams of ML Engineers and Scientists, including hiring, mentoring, and developing high-performing talent
- Diversity and open expression are fundamental to our organization; they help us lead what's next in music by understanding and empowering our creators and fans, no matter their identity.
- Founded in 2007, SoundCloud is a creator-first platform helping artists build and grow their careers by providing them with the most advanced tools, services, and resources.
Requirements
- Deep expertise in delivering data-driven products and ML solutions at scale on cloud-based platforms, with strong understanding of infrastructure and lifecycle management
- 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.
Compensation
- The salary range for this role is $280,000 - $325,000 annually.
- The final salary offered will be determined based on relative experience, skills, internal equity, and location.
Benefits
- Comprehensive health benefits including medical, dental, and vision plans, as well as mental health resources
- Employee Equity Plan
- Interested in a gym membership, photography course or book?
- We have a Creativity and Wellness benefit!
- Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
- Diversity, Equity and Inclusion 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.
- Experience in a music streaming environment is a bonus
Company info
- We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)
- We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home
- We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone's voice, perspective and experience is respected and heard
- We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities
- 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.
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