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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning Engineer, Content Intelligence - **Company:** Spotify - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $184,049.0 - $262,928.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Batch Processing, Cursor (Graphical User Interface Elements), Machine Learning, Natural Language Processing, Large Language Models, Prompt Engineering, Deep Learning, Generative AI, Machine Learning Operations, Natural Language Understanding - **Published:** June 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5ecb038b4666ade2 ## About the Role Do you have experience in Tooling?, * You have solid experience developing and deploying machine learning systems in production environments. * You have successfully delivered large-scale machine learning architectures operating on substantial datasets and high-throughput production systems. * You have deep experience with machine learning, deep learning, and modern AI technologies. * You have hands-on experience working with large language models and understand how to evaluate, adapt, and deploy them effectively for real-world product challenges. * You have experience building evaluation frameworks and can quantify model performance through robust experimentation and measurement techniques. * You know how to navigate ambiguity and make thoughtful technical trade-offs that balance product impact, scalability, and engineering quality. * You have experience influencing technical direction across cross-functional teams and can communicate complex machine learning concepts to diverse audiences. * You care about developing others and enjoy mentoring engineers through technical guidance and collaboration. * You have experience working with NLP, prompt engineering, retrieval-augmented generation (RAG), vector databases, or multimodal machine learning systems. * You are curious about emerging AI technologies and excited about integrating tools such as Claude Code, Cursor, and other AI-assisted development capabilities into engineering workflows. ## Description Permanent New York We design Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Verbatim squad sits within the Enrichment & Content Intelligence product area and is focused on helping Spotify better understand audio, text, and visual content through machine learning. The team develops technologies that power experiences across Spotify including content skipping, transcription, moderation, and visual understanding. Working at the intersection of large-scale machine learning and product innovation, the squad partners closely with Product, Engineering, and Data Science teams to build intelligent systems that improve how users experience content across the platform. 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. ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [".Net is too slow" was not an option](https://www.wearedevelopers.com/videos/100176-net-is-too-slow-was-not-an-option) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)