Find Spotify Staff Software Engineer software engineering jobs

Spotify is the world's most popular audio streaming subscription service, transforming music listening since 2008.

Spotify's Content and Catalog Management (CoCaM) team is seeking a Staff Machine Learning Engineer to lead the ML strategy across six squads. You'll own the expansion of ML knowledge and expertise within the team, working on content ingestion, distribution, management, and decision-making. 

Key responsibilities include:
- Developing ML strategy for content and catalog management
- Enhancing ML competence among 40+ team members
- Partnering with stakeholders to identify ML opportunities
- Cultivating strong relationships and promoting collaboration
- Driving technical decisions and standard ML methodologies
- Staying updated with latest ML advancements

The ideal candidate has:
- Proven track record in creating and growing ML strategies
- Hands-on experience implementing ML systems at scale
- In-depth knowledge of ML algorithms and frameworks
- Strong communication skills for technical and non-technical audiences
- Experience leading ML projects and mentoring engineers
- Familiarity with cloud platforms and ML services

Spotify offers a distributed workforce with a preference for Stockholm, London, or Dublin. They provide flexible work options, including work from anywhere opportunities. Spotify is committed to diversity and inclusion, welcoming employees from all backgrounds to contribute to their mission of unlocking human creativity through music and podcasting.

Spotify seeks a Staff ML Engineer to lead content and catalog management strategy, enhancing ML competence across teams.

Staff Machine Learning Engineer, Content and Catalog Management

Spotify is a digital music, podcast, and video streaming service.

Spotify is seeking a Machine Learning Engineering Manager to join our Personalization team. In this role, you will lead a team of machine learning engineers to develop and implement cutting-edge personalization algorithms that enhance the user experience on our platform. You will work closely with cross-functional teams to drive innovation in music and podcast recommendations, user engagement, and content discovery.

As a Machine Learning Engineering Manager, you will be responsible for:
1. Leading and mentoring a team of machine learning engineers
2. Developing and implementing machine learning models and algorithms
3. Collaborating with product managers, data scientists, and other engineering teams
4. Driving technical strategy and roadmap for personalization initiatives
5. Ensuring high-quality, scalable, and efficient machine learning systems
6. Staying up-to-date with the latest advancements in machine learning and AI

The ideal candidate will have:
- Strong experience in machine learning and data science
- Proven track record of leading and managing technical teams
- Excellent communication and leadership skills
- Deep understanding of large-scale distributed systems
- Experience with recommendation systems and personalization algorithms

Join Spotify and help shape the future of personalized music and podcast experiences for millions of users worldwide. Be part of a dynamic, innovative team that's passionate about using technology to connect listeners with the content they love.

Machine Learning Engineering Manager

Spotify is a leading music and audio streaming platform delivering personalized experiences to millions of users worldwide.

Spotify, the world's leading music and audio streaming platform, is seeking a Staff Machine Learning Engineer to join their Content Understanding teams. This role is a unique opportunity to shape the future of text understanding and Large Language Models (LLMs) at Spotify, directly impacting millions of users worldwide.

As a Staff Machine Learning Engineer, you'll be at the forefront of innovation, leading a small team in building and maintaining cutting-edge text understanding tools. Your expertise in LLMs, including training, fine-tuning, and deployment, will be crucial in developing solutions for transcription, moderation, entity extraction, topic modeling, and summarization.

This position offers an exciting blend of technical leadership and strategic thinking. You'll collaborate closely with Product and Engineering leadership to craft the vision for Spotify's text understanding capabilities. Your role will involve staying ahead of the curve in LLM developments, introducing groundbreaking use cases, and translating business needs into impactful engineering solutions.

Spotify offers a flexible work environment, allowing you to work from either the Eastern US region or London, UK. The company provides an attractive compensation package, including a base salary range of $187,000 - $267,000, plus equity, comprehensive health benefits, and generous paid time off.

If you're passionate about machine learning, have a strong background in NLP and LLMs, and want to make a significant impact on how millions of people experience music and audio content, this role at Spotify could be your perfect next step. Join a team that values innovation, collaboration, and user-centric thinking, and help shape the future of audio technology.

Lead ML engineer role at Spotify, focusing on LLMs and text understanding to enhance user experience for millions.

Spotify Staff Software Engineer Software Engineering Jobs

Find Spotify Staff Software Engineer software engineering jobs