Senior Machine Learning Engineer
The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix.
The TurnTable team’s mission is to own and innovate on AI DJ and the interactive listening experiences. Using a mixture of LLMs and traditional ML, we strive to provide depth and connection for all listeners. We are looking for a Machine Learning Engineer to join our team to build and improve our interactive listening experiences.
- Design, build, evaluate, and ship and agentic based DJ solution that brings our DJ and interactive experiences to the next level.
- Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways
- Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
- Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
- Be part of an active group of machine learning practitioners
- An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment
- Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications
- Hands-on expertise with implementing end-to-end production ML systems at scale. Experience with production LLM scale based systems is a plus.
- Experience with incorporating human feedback to improve LLM based systems using technicals like DPO, KTO, and reinforcement fine-tuning.
- Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams
- Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS
- We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location.
The United States base range for this position is $176,166 $251,666 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
NBCUniversal seeks part-time Academic Year Data Science & Analytics interns to support decision sciences and sports content analytics at its Stamford, CT hub.
Superhuman is hiring Data Scientists in San Francisco to lead experimentation, causal inference, and ML-driven analyses that influence product and growth decisions.
Lead the measurement, experimentation, and data architecture for HingeSelect as the first dedicated Staff Product Data Scientist driving causal analysis, funnel optimization, and supply-demand modeling.
Lead Bugcrowd’s AI & Data Science team to design and operationalize scalable ML systems and generative AI solutions that power next-generation preemptive cybersecurity products.
Thrad seeks an Applied Scientist to design, train, and productionize real-time contextual ad relevance and bidding models for LLM conversations at its San Francisco HQ.
Join Habitat Energy's Austin team as an MLOps Engineer to productionize and scale mission-critical forecasting and optimization models that power energy trading and analytics.
NBCUniversal is seeking an Advertising & Partnerships Data Science Academic Year intern to apply analytics, modeling, and AI/ML to real-world ad tech problems across its advertising product ecosystem.
Lead the development of an AI Agent platform and production ML systems at Superhuman, driving orchestration, LLM integration, and proactive product experiences.
Thrad seeks a hands-on Data Scientist to drive product and commercial decisions through rigorous causal analysis, experimentation, and analytics at its San Francisco HQ.
Apply state-of-the-art AI to financial workflows at Rowspace by building retrieval systems, agentic pipelines, and evaluation frameworks that turn unstructured data into actionable investment insights.
Pravah seeks an ML Summer Intern to work on cutting-edge forecasting, computer vision, and graph ML problems that support real-world electric grid deployments.
Spotify is one of the largest online music streaming service providers founded in 2006 by Daniel Ek and Martin Lorentzon. As of March 2024, Spotify has over 615 million monthly active users, including 239 million paying subscribers around the world.
25 jobs
🔮
Hi, I'm Risa! Your AI Career Copilot
you, just ask me below!
