Spotify
Senior Machine Learning Engineer, Personalization, Rewards
New York, New York, USA · Senior · full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$9,411 more — $193,461 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $193,461 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- The Rewards team in Personalization (PZN) is defining the next generation of large-scale personalization at Spotify by pioneering novel Reinforcement Learning (RL) methods for Large Language Models (LLMs).
- Promote and role-model best practices of ML systems development, testing, and evaluation throughout the organization.
- These ranges may be modified in the future.
Responsibilities
- Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development.
- Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation and discovery systems.
- In your first 6 months, you will be responsible for ML development: prototyping models, building pipelines, productizing/scaling models, and launching A/B tests for personalized generative recommendations at Spotify.
- We drive massive impact across all recommendations discovery surfaces by moving beyond simple clicks to model and optimize for true long-term user satisfaction.
- prototyping models, building pipelines, productizing/scaling models, and launching A/B tests for personalized generative recommendations at Spotify.
- We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.
Requirements
- You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones.
Nice to have
- Expertise in statistics and optimization, especially in sequential models, transformers, generative AI, large language models (LLMs are a plus), and relevant fine-tuning processes.
Compensation
- $184k-$263k
Benefits
- We are looking for a Machine Learning Engineer to make impactful changes to our recommendations and discovery algorithms.
- Who You Are You have a strong background in machine learning and enjoy applying theory to develop real-world applications.
- Reinforcement Learning (RL) expertise is key, and experience in RL for recommendations is a must have.
- There will be some in person meetings, but still allows for flexibility to work from home The United States base range for this position is $184,050- $262,928 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.
Company info
- Where You'll Be This role is based in New York We offer you the flexibility to work where you work best!
- At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone.
Equal opportunity
- equal opportunity employer.
This listing is sourced directly from Spotify's careers page and normalized into a canonical job model.