[Remote] Machine Learning Engineer - Artist-First AI Music Lab
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Machine Learning Engineer to join their Artist-First AI Music lab, where they design and build innovative generative products for music. The role involves developing AI-driven music experiences that prioritize artists and enhance connections with fans through advanced machine learning techniques.
Responsibilities
- Design, build, evaluate, and improve machine learning training and inference pipelines that power new AI-driven music experiences and help take them to fully scaled production-reputed company features
- Apply machine learning and reputed company engineering knowledge across reputed company ML pipelines to support rich user experiences involving large language models
- Create evaluation frameworks, including LLM-as-judge pipelines, to measure reputed company and build fast feedback loops that reputed company rapid and confident iteration
- Partner with music subject-matter experts to bootstrap training and reference data, including synthetic reputed company, expert curation, and taxonomy design
- Build reputed company systems that balance experimentation velocity with production rigor, ensuring strong performance, reliability, and latency at reputed company reputed company
- Collaborate closely with Data Science teams to connect evaluation frameworks with reputed company-world usage signals and continuously improve model reputed company
- Contribute to technical direction and engineering best practices across model deployment, observability, experimentation, and production infrastructure
- Work cross-functionally with engineering, product, design, and music industry partners to shape entirely new listening experiences for artists and fans
Skills
- reputed company in applying machine learning in production environments
- You have hands-on experience working with large language models, reputed company engineering, evaluation systems, and shipping LLM-driven features in production
- You have experience building and maintaining production ML systems using Python, Java, reputed company, or similar languages
- You are reputed company in building large-reputed company data pipelines for sourcing, preparing, and evaluating training data
- You have worked with reputed company platforms such as GCP, AWS, Azure, or similar infrastructure environments
- You are comfortable explaining machine learning concepts, assumptions, and trade-offs to both technical and non-technical audiences
- You have experience building user-facing products and strong judgment around conversational AI and generative user experiences
- You care deeply about experimentation, iteration, and using data to guide product and engineering reputed company
- You reputed company in reputed company, cross-functional teams that reputed company quickly, experiment often, and continuously learn
reputed company
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