Spotify1 день назад
Machine Learning Engineering Manager, Personalization
Зарплата не указана
PermanentNew York
Обязанности
- 01Lead, coach, and develop a team of machine learning engineers, creating an inclusive, high-performing engineering culture
- 02Set the technical direction for the team while partnering with Product, Data Science, and Engineering leaders to deliver impactful machine learning capabilities
- 03Guide the design, development, deployment, and operation of production machine learning systems at scale
- 04Support engineers through technical mentorship, career development, performance management, and regular feedback
- 05Drive execution by helping the team prioritize work, remove obstacles, and continuously improve delivery
- 06Foster engineering excellence through modern software engineering practices, experimentation, and operational excellence
- 07Partner across squads and missions to influence technical strategy and ensure alignment across the Personalization organization
- 08Champion thoughtful adoption of emerging machine learning technologies, including large language models, where they create meaningful user value
Требования
- 01You have experience leading and developing high-performing engineering teams
- 02You have built trust through coaching, mentoring, and supporting engineers in their career growth
- 03You have deep expertise building and operating production machine learning systems at scale
- 04You understand the end-to-end machine learning lifecycle, from experimentation through deployment and monitoring
- 05You are experienced working with modern machine learning techniques, including large language models and generative AI applications
- 06You communicate effectively across engineering, product, and data science partners
- 07You care about building inclusive teams where collaboration, curiosity, and continuous learning thrive
- 08You balance technical excellence with pragmatic decision-making and delivering meaningful business outcomes
Условия
- 01We offer you the flexibility to work where you work best
- 02For this role, you can be within the Eastern Standard time zone