# Senior Machine Learning Engineer - Content Intelligence
**Company:** [Spotify](https://hotfix.jobs/companies/spotify)
**Location:** New York, NY
**Experience:** 5+ years
**Skills:** Machine Learning, Deep Learning, LLMs, NLP, Prompt Engineering, RAG, Vector Databases, Multimodal Ai, Model Evaluation, Production Ml Systems
**Posted:** 2026-06-11
> Lead ML initiatives building and deploying large-scale content intelligence systems using LLMs, NLP, and multimodal AI. Partner cross-functionally and mentor engineers on production ML architectures.
## Job Description
## What You'll Do
- Lead end-to-end machine learning initiatives from ideation and prototyping through experimentation, deployment, and large-scale productionization.
- Design, develop, and deploy machine learning systems that operate across hundreds of millions of content signals using both real-time and batch processing architectures.
- Advance Spotify’s capabilities in natural language understanding, multimodal AI, and content intelligence.
- Build and evaluate LLM-powered solutions using modern prompting techniques, retrieval systems, and advanced model orchestration approaches.
- Define rigorous evaluation methodologies including golden datasets, precision and recall frameworks, offline benchmarking, and online experimentation.
- Partner closely with Product Managers, Engineering Managers, Staff Engineers, and Data Scientists to influence technical strategy and roadmap decisions.
- Mentor engineers across the organization and help elevate machine learning engineering standards and best practices.
- Contribute to the adoption of AI-assisted development workflows and tooling that improve team productivity and engineering effectiveness.

## Who You Are
- Solid experience developing and deploying machine learning systems in production environments.
- Successfully delivered large-scale machine learning architectures operating on substantial datasets and high-throughput production systems.
- Deep experience with machine learning, deep learning, and modern AI technologies.
- Hands-on experience working with large language models and understand how to evaluate, adapt, and deploy them effectively for real-world product challenges.
- Experience building evaluation frameworks and can quantify model performance through robust experimentation and measurement techniques.
- Know how to navigate ambiguity and make thoughtful technical trade-offs that balance product impact, scalability, and engineering quality.
- Experience influencing technical direction across cross-functional teams and can communicate complex machine learning concepts to diverse audiences.
- Care about developing others and enjoy mentoring engineers through technical guidance and collaboration.
- Experience working with NLP, prompt engineering, retrieval-augmented generation (RAG), vector databases, or multimodal machine learning systems.
- Curious about emerging AI technologies and excited about integrating tools such as Claude Code, Cursor, and other AI-assisted development capabilities into engineering workflows.
**Apply:** https://hotfix.jobs/jobs/senior-machine-learning-engineer-content-intelligence-at-spotify-62fddd1d-8de6-4520-926f-b6136ddeec09
**Canonical:** https://hotfix.jobs/jobs/senior-machine-learning-engineer-content-intelligence-at-spotify-62fddd1d-8de6-4520-926f-b6136ddeec09