# Senior Machine Learning Engineer - Enrichment & Content Intelligence

**Company:** [Spotify](https://hotfix.jobs/companies/spotify)
**Location:** New York, NY
**Role:** ML Engineering
**Skills:** PyTorch, TensorFlow, Multimodal Machine Learning, Entity Resolution, Distributed Data Processing, Scio, Dataflow, Flyte, BigQuery, Scala, Computer Vision, Video Understanding, Recommendation Systems
**Posted:** 2026-05-28

> As a Senior Machine Learning Engineer, you will evolve large-scale ML pipelines and multimodal embedding frameworks to power Spotify's content-resolution systems. You will improve entity-resolution across music and video content, design experiments, and build scalable ML evaluation and monitoring infrastructure.

## Job Description

## What You'll Do

* Own and evolve large-scale ML pipelines powering Spotify’s content-resolution systems
* Lead development of multimodal embedding frameworks supporting multimodal understanding, music video matching, SongDNA
* Improve entity-resolution systems across music and video content, helping Spotify better understand relationships between recordings, versions, and content formats
* Design and run experiments to improve precision, recall, and overall content-quality outcomes using offline evaluation, golden datasets, A/B testing, and impact analysis
* Build scalable ML evaluation and monitoring infrastructure, including standardized datasets, retraining workflows, and continuous improvement systems
* Contribute to the evolution of the Music Knowledge Graph by improving production ML capabilities, observability, and model lifecycle management
* Partner closely with Product Managers, Data Scientists, and engineering teams across Content Platform and the wider Experience Mission
* Help shape technical strategy for the squad and contribute to long-term ML direction across the product area
* Mentor engineers and contribute to a strong culture of technical collaboration and experimentation

## Who You Are

* You have solid experience building, deploying, and maintaining machine learning systems in production at scale
* You have strong experience training, evaluating, and operating ML models using modern frameworks such as PyTorch or TensorFlow
* You have experience working with multimodal machine learning systems across audio, computer vision, text embeddings, or related domains
* You understand entity resolution, deduplication, record linkage, or large-scale matching problems, ideally across multiple content modalities
* You know how to design evaluation systems that balance model quality, operational performance, and real-world impact
* You are experienced working with large-scale distributed data processing systems and ML infrastructure
* You communicate effectively across engineering, product, and data science stakeholders
* You are comfortable leading technical initiatives and influencing engineering direction within a team
* Experience with Scio, Dataflow, Flyte, BigQuery, or similar distributed processing frameworks is a plus
* Experience with Scala is a plus
* Experience with computer vision, video understanding, multimodal embeddings, or recommendation systems is a strong plus

## Similar roles

- [Senior Machine Learning Engineer, Agent Oversight](https://hotfix.jobs/jobs/1f504a69-044f-47ab-872b-120a1706cd88) - Scale AI - San Francisco, CA - $216k – $270k/yr
- [Senior Software Engineer, Agent Oversight](https://hotfix.jobs/jobs/808ce719-6b16-4b6e-8887-8c8f8a780b75) - Scale AI - San Francisco, CA - $216k – $270k/yr
- [Senior Software Engineer, AI Infrastructure](https://hotfix.jobs/jobs/dd1c3420-6c0a-47ed-a1a7-de401bdf506c) - Ambient.ai - Redwood City, CA - $168k – $205k/yr
- [Senior Software Engineer](https://hotfix.jobs/jobs/423c60aa-ca4c-400d-babe-a50099433cbb) - SpotOn - Chicago, IL - $160k – $190k/yr
- [Senior AI Engineer, Enterprise](https://hotfix.jobs/jobs/87a30fd1-3fe6-47f3-a0a1-da444f3c00f4) - Snowflake - Menlo Park, CA - $156k – $224k/yr

**Apply:** https://hotfix.jobs/jobs/40648899-9d8d-4be1-96fb-dd4bb934cc6f
**Canonical:** https://hotfix.jobs/jobs/40648899-9d8d-4be1-96fb-dd4bb934cc6f