Related skills
machine learning experimentation large-scale data generative ai recommender systems๐ Description
- Participate in groundbreaking ML research for large-scale recommender systems.
- Analyze data, run experiments, and develop scalable solutions.
- Work on recommendations and scalable evaluations.
- Collaborate with scientists, engineers, PMs, designers, researchers to solve problems.
- Help shape a long-term research roadmap and impact Spotify product.
- Publish papers and engage with the research community.
๐ฏ Requirements
- Masters or PhD in ML, data science, or related fields.
- Publications in ML/AI conferences (NeurIPS, KDD, RecSys).
- Expertise in recommender systems and Generative AI optimization.
- Hands-on skills implementing advanced algorithms and data analysis.
- Creative problem-solver who develops new approaches.
๐ Benefits
- Base salary range: $133,195 - $190,278 plus equity.
- Health insurance
- Six months paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Data Jobs. Just set your
preferences and Job Copilot will do the rest โ finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!