Spotify29.05.2026
Senior Machine Learning Engineer - Enrichment & Content Intelligence
Зарплата не указана
PermanentNew York
Обязанности
- 01Own and evolve large-scale ML pipelines powering Spotify’s content-resolution systems
- 02Lead development of multimodal embedding frameworks supporting multimodal understanding, music video matching, SongDNA
- 03Improve entity-resolution systems across music and video content, helping Spotify better understand relationships between recordings, versions, and content formats
- 04Design and run experiments to improve precision, recall, and overall content-quality outcomes using offline evaluation, golden datasets, A/B testing, and impact analysis
- 05Build scalable ML evaluation and monitoring infrastructure, including standardized datasets, retraining workflows, and continuous improvement systems
- 06Contribute to the evolution of the Music Knowledge Graph by improving production ML capabilities, observability, and model lifecycle management
- 07Partner closely with Product Managers, Data Scientists, and engineering teams across Content Platform and the wider Experience Mission
- 08Help shape technical strategy for the squad and contribute to long-term ML direction across the product area
- 09Mentor engineers and contribute to a strong culture of technical collaboration and experimentation
Требования
- 01You have solid experience building, deploying, and maintaining machine learning systems in production at scale
- 02You have strong experience training, evaluating, and operating ML models using modern frameworks such as PyTorch or TensorFlow
- 03You have experience working with multimodal machine learning systems across audio, computer vision, text embeddings, or related domains
- 04You understand entity resolution, deduplication, record linkage, or large-scale matching problems, ideally across multiple content modalities
- 05You know how to design evaluation systems that balance model quality, operational performance, and real-world impact
- 06You are experienced working with large-scale distributed data processing systems and ML infrastructure
- 07You communicate effectively across engineering, product, and data science stakeholders
- 08You are comfortable leading technical initiatives and influencing engineering direction within a team
Условия
- 01This role is based in New York City
- 02We offer you the flexibility to work where you work best
- 03There will be some in person meetings, but still allows for flexibility to work from home
- 04The United States base range for this position is $184,049–262,928 USD, plus equity
- 05The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave