Staff Machine Learning Engineer

Job Description

Responsibilities

• Help define and drive the Machine Learning engineering strategy for Discovery Mode and related royalty programs, translating product goals into scalable technical solutions.
• Design, build, evaluate, ship, and refine production Machine Learning systems through hands-on development.
• Provide technical leadership across complex ML initiatives, helping teams make thoughtful architectural and engineering decisions while balancing near- and long-term priorities.
• Collaborate with user research, design, data science, product management, and engineering to build new product capabilities that strengthen connections between artists and fans.
• Prototype new approaches and turn successful ideas into reliable, scalable solutions for for Artists customers.
• Drive experimentation, optimization, testing, and tooling that improve the quality, reliability, and effectiveness of our Machine Learning systems.
• Partner with engineers and Machine Learning practitioners across , including Music Tech Research and Personalization, to explore and develop new approaches to music promotion.
• Help grow the technical capabilities of the broader engineering community through mentorship, knowledge sharing, and strong engineering practices.

Who You Are

• You have deep experience with Machine Learning and a strong understanding of Machine Learning algorithms, modeling approaches, evaluation, and experimentation.
• You have hands-on experience designing and implementing production Machine Learning systems at scale using languages such as Python, Java, Scala, or similar.
• You can set technical direction for complex ML problems while remaining close to implementation and delivery.
• You care about reliable software, data-informed development, disciplined experimentation, and building systems that perform effectively at scale.
• You enjoy leading technically complex projects from idea through production and working closely with teammates and partners to deliver meaningful outcomes.
• You are comfortable navigating ambiguity, evaluating trade-offs, and creating clarity on high-impact initiatives.
• You communicate technical decisions and risks clearly and can build alignment with senior technical leaders and cross-functional partners.
• You care about creating products that better serve artists and their teams, and you take a collaborative, team-first approach to helping others do their best work

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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