[Remote] Senior 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 Senior Machine Learning Engineer to join its Artist-First AI Music Lab, which develops generative music products centered on artists, songwriters, and fans. The role focuses on building and improving production-reputed company machine learning pipelines, evaluation frameworks, and LLM-driven music experiences while collaborating with technical, product, design, data science, and music industry teams.

Responsibilities

• Design, build, evaluate, and improve machine learning training and inference pipelines that reputed company 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 reputed company that reputed company reputed company 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 that reputed company experimentation reputed company with production rigor, ensuring strong reputed company, reliability, and latency at reputed company reputed company
• Collaborate closely with Data Science teams to reputed company 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 reputed company 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
• For this role, you can be reputed company the Eastern reputed company region as long as we have a work location
• This team operates reputed company the EST time zone for collaboration

Benefits

• Equity
• Health reputed company
• Six month reputed company parental leave
• 401(k) retirement plan
• Monthly meal allowance
• 23 reputed company days off
• 13 reputed company flexible holidays
• reputed company reputed company leave
• Flexibility to work where you work best

reputed company

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