Staff Machine Learning Engineer, Content and Catalog Management
3 weeks ago
About the Role
We are seeking a highly skilled Senior Machine Learning Engineer to join our Content and Catalog Management team at Spotify. As a key member of our team, you will be responsible for driving the adoption and expansion of Machine Learning (ML) usage within our content and catalog management platform.
What You'll Do
- Develop and implement ML strategies to enhance the content and catalog management platform, ensuring it supports diverse content types, policies, and provides data for reporting and auditability.
- Enhance the ML competence among 40+ engineers, engineering managers, and product managers, providing mentorship on the usage of ML with traditional engineering approaches.
- Partner with Staff Engineers, Product partners, policy owners, and operational teams to identify and demonstrate ML opportunities, encouraging critical thinking within teams.
- Cultivate strong relationships within the CoCaM team, promoting a culture of collaboration, openness, and inclusion to develop well-rounded solutions.
- Drive technical decisions and standard methodologies in ML to ensure high-quality and scalable solutions are built by our engineers.
- Stay updated with the latest ML advancements and Spotify ML standards, developing a learning environment to continuously improve the team's skills and knowledge.
Who You Are
- You have a proven track record of creating, promoting, and growing ML strategy for platforms, delivering horizontal solutions to vertical problems.
- You have hands-on experience implementing ML systems at scale in Java, Scala, Python, or similar, and with ML-specific libraries and frameworks like TensorFlow, PyTorch, or similar.
- You have in-depth knowledge of various ML algorithms, including supervised, unsupervised, and reinforcement learning, with experience in algorithm selection, tuning, and evaluation.
- You have deep experience communicating sophisticated ML practices, solutions, and algorithms to technical and non-technical parties unfamiliar with ML terminology and principles.
- You have shown experience leading ML projects, mentoring more inexperienced engineers, and driving technical strategy and decision-making within teams.
- You have experience with containerization and orchestration tools like Docker and Kubernetes, and cloud platforms such as GCP, AWS, or Microsoft Azure.
- You are comfortable writing queries, exploring data, and collaborating on hypotheses with product and engineering counterparts.
- You have knowledge of model deployment techniques and serving frameworks like TensorFlow Serving, TorchServe, or custom APIs.
Where You'll Be
- We are a distributed workforce, enabling our band members to find a work mode that best suits them. We have a preference for candidates in Stockholm, London, or Dublin, where many of our CoCaM team members are located.
- We offer flexible work arrangements, including the option to work from home or an office. Find more information about our Work Work From Anywhere options.
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Stockholm, Stockholm, Sweden Spotify Full timeDelivering the Best Spotify ExperienceAt Spotify, we're committed to delivering the best experience possible to our users. To achieve this, we're seeking a highly skilled Machine Learning (ML) Staff Engineer to join our Content and Catalog Management (CoCaM) team. As a key member of our team, you'll be responsible for defining, adopting, and expanding ML...
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Stockholm, Stockholm, Sweden Spotify Full timeDelivering the Best Spotify ExperienceAt Spotify, we're committed to delivering the best music and audio experience to our users worldwide. To achieve this, we're seeking a highly skilled Machine Learning (ML) Staff Engineer to join our Content and Catalog Management (CoCaM) team.Key ResponsibilitiesDevelop and implement ML strategies for content and catalog...
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