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Assistant Ai Music Jobs (NOW HIRING)

Spotify

Backend Engineer - Music

New York, NY · On-site

$133K - $190K/yr

We are seeking a Backend Engineer to join our Artist-First AI Music lab. Our team designs and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Spotify

Research Scientist - Music

New York, NY

$132K - $188K/yr

We are seeking a Research Scientist to join our Artist-First AI Music lab. Our team pioneers and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Spotify

Research Scientist - Music

New York, NY · On-site +1

$132K - $188K/yr

We are seeking a Research Scientist to join our Artist-First AI Music lab. Our team pioneers and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Musixmatch S.p.a

OR

Musixmatch is the leading music metadata company, featuring the world's largest lyrics catalog and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Downtown Music

About Downtown Downtown Music Holdings (Downtown) is a modern global music company. We help ... Lead the rollout of AI coding assistants, automated testing, and development tools to improve day ...

Moments Hospice

Music Therapis

Miami, FL

Lead and assist patients in music therapy interventions * Reduce symptoms like anxiety, depression ... On The Road We may use artificial intelligence (AI) tools to support parts of the hiring process ...

New

SAR Academy & SAR High School

Music Director

New York, NY · On-site

$70K - $90K/yr

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Duetti

Music Growth Manager

New York, NY · On-site +1

Experience with coding and/or AI tools like Claude is highly preferred. * Extensive knowledge of ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Duetti

Music Growth Manager

Los Angeles, CA · On-site

$70K - $100K/yr

Experience with coding and/or AI tools like Claude is highly preferred. * Extensive knowledge of ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

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Assistant Ai Music information

What is the difference between Assistant Ai Music vs Music Producer?

AspectAssistant Ai MusicMusic Producer
Required CredentialsOften a degree or certification in music, AI, or related fieldsMusic degree, experience in music production, industry knowledge
Work EnvironmentTech companies, AI development teams, music tech startupsRecording studios, production companies, independent projects
Employer & Industry UsageUsed by AI firms, music tech companies, digital platformsUsed by record labels, artists, independent musicians

Assistant Ai Music roles focus on developing and managing AI tools for music creation, often requiring technical and music knowledge. Music Producers oversee the entire music production process, combining artistic vision with technical skills. While both roles involve music, Assistant Ai Music is more tech-oriented, whereas Music Producers focus on the creative and production aspects of music creation.

How much do AI musicians make?

AI musicians' earnings vary widely depending on their experience, the complexity of projects, and the industry sector. Freelance AI music creators may earn from a few hundred to several thousand dollars per project, while those working for companies or in specialized roles can have annual salaries ranging from $50,000 to over $100,000. Skills in music production, programming, and familiarity with AI tools like machine learning frameworks can influence earning potential.

What jobs pay 2000 a day?

High-paying jobs that can pay around $2,000 a day include specialized roles such as AI music composers, freelance consultants, software engineers, and certain executive positions. These roles often require advanced skills, experience, and sometimes certifications, and may involve freelance or contract work with flexible schedules.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI executive, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles usually involve overseeing AI development, strategy, and innovation within organizations and may include stock options or bonuses that contribute to the high total compensation.

What is the AI assistant for making music?

An AI assistant for making music is a software tool that uses artificial intelligence to help composers and producers generate melodies, harmonies, or arrangements. These tools often incorporate machine learning algorithms and digital audio workstations (DAWs) to streamline the creative process and may require familiarity with music production software. They are used in various environments, from professional studios to personal projects.
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Assistant Ai Music jobs near you

Machine Learning Engineer - Artist-First AI Music Lab

Spotify

Boston, MA • On-site

$138K - $197K/yr

Other

Medical, Retirement, PTO

Posted 25 days ago

Job description

The Music Mission team owns Spotify's end to end proposition for music creators and the experiences they create for fans. The team is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale.

Our Artist-First AI Music Lab designs and builds state-of-the-art generative AI products for music that create breakthrough experiences for fans and artists. We are currently searching for a Machine Learning Engineer to join our journey as we invent entirely new listening experiences that center and celebrate artists and creatives.

All of our products put artists and songwriters first through four guiding principles:

  • Partnerships with record labels, distributors, and music publishers: We'll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.
  • Choice in participation: We recognize there's a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.
  • Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.
  • Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.
What You'll Do
  • 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-ready features.
  • Apply machine learning and prompt engineering knowledge across complex ML pipelines to support rich user experiences involving large language models.
  • Create evaluation frameworks, including LLM-as-judge pipelines, to measure quality and build fast feedback loops that enable rapid and confident iteration.
  • Partner with music subject-matter experts to bootstrap training and reference data, including synthetic generation, expert curation, and taxonomy design.
  • Build scalable systems that balance experimentation velocity with production rigor, ensuring strong performance, reliability, and latency at Spotify scale.
  • Collaborate closely with Data Science teams to connect evaluation frameworks with real-world usage signals and continuously improve model quality.
  • 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.
Who You Are
  • Experienced in applying machine learning in production environments.
  • You have hands-on experience working with large language models, prompt engineering, evaluation systems, and shipping LLM-driven features in production.
  • You have experience building and maintaining production ML systems using Python, Java, Scala, or similar languages.
  • You are experienced in building large-scale data pipelines for sourcing, preparing, and evaluating training data.
  • You have worked with cloud 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 decisions.
  • You thrive in collaborative, cross-functional teams that move quickly, experiment often, and continuously learn.
Where You'll Be
  • We offer you the flexibility to work where you work best! For this role, you can be within the Eastern United States region as long as we have a work location.
  • This team operates within the EST time zone for collaboration.
The United States base range for this position is $138,250- $197,500 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice
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