Udio

Designing and maintaining application-level data models, building ETL/streaming pipelines, developing data services, and ensuring data consistency. | Experience with data pipelines, data modeling, SQL, Python, and analytical data warehouses, with a focus on operational reliability and large-scale data processing. | About the Role We are looking for a Senior Backend Engineer to own the systems that transform our unified dataset into application-ready content and robust downstream analytics. This role bridges the gap between core datasets and end-user experiences by building the pipelines, services, and models that make our content discoverable, searchable, analyzable, and operationally reliable. Your work will power both the product and the business: organizing content into application-ready structures; managing fine-grained usage events; building ETLs that support reporting, billing, and analytics; and developing fingerprinting pipelines for deduplication, rights attribution, and safety. You will architect systems that ensure our data remains consistent across ingestion, application surfaces, and downstream consumers. You will collaborate closely with Product, ML Research, Analytics, and Infrastructure teams, working with tools such as BigQuery, Dataflow/Beam, PubSub, and internal microservices. Experience designing data models that support real-time features, retrieval, and analytics is strongly valued. What You’ll Do Design and maintain application-level data models that organize rich content into canonical structures optimized for product features, search, and retrieval. Build high-reliability ETLs and streaming pipelines to process usage events, analytics data, behavioral signals, and application logs. Develop data services that expose unified content to the application, such as metadata access APIs, indexing workflows, and retrieval-ready representations. Implement and refine fingerprinting pipelines used for deduplication, rights attribution, safety checks, and provenance validation. Own data consistency between ingestion systems, application surfaces, metadata storage, and downstream reporting environments. Define and track key operational metrics, including latency, completeness, accuracy, and event health. Collaborate with Product teams to ensure content structures and APIs support evolving features and high-quality user experiences. Partner with Analytics and Research teams to deliver clean usage datasets for experimentation, model evaluation, reporting, and internal insights. Operate large analytical workloads in BigQuery and build reusable Dataflow/Beam components for structured processing. Improve reliability and scale by designing robust schema evolution strategies, idempotent pipelines, and well-instrumented operational flows. What We’re Looking For Experience building ETL/ELT pipelines, event processing systems, and structured data models for applications or analytics. Strong background in data modeling, metadata systems, indexing, or building canonical representations for heterogeneous content. Proficiency in Python, SQL, and scalable data-processing frameworks (Dataflow/Beam, Spark, or similar). Familiarity with BigQuery or other analytical data warehouses and strong comfort optimizing large queries and schemas. Experience with event-driven architectures, Pub/Sub, or Kafka-like systems. Strong understanding of data quality, schema evolution, lineage, and operational reliability. Ability to design pipelines that balance cost, latency, correctness, and scale. Clear communication skills and an ability to collaborate closely with Product, Research, and Analytics stakeholders. Nice to Have Experience building application-facing APIs or microservices that expose structured content. Background in information retrieval, indexing systems, or search infrastructure. Experience with fingerprinting, perceptual hashing, audio similarity metrics, or content-matching algorithms. Familiarity with ML workflows and how downstream analytics and usage data feed back into research pipelines. Understanding of batch + streaming architectures and how to blend them effectively. Experience with Go, Next.js, or React Native for occasional full-stack contributions. Why Join Us You will design the core data services and pipelines that power our product experience, analytics, and business operations. You’ll work on high-impact data challenges involving real-time signals, large-scale metadata systems, and cross-platform consistency. You’ll join a small, fast-moving team where you’ll shape the structure, reliability, and intelligence of our downstream data ecosystem. Benefits Highly competitive salary and equity Quarterly productivity budget Flexible time off Fantastic office location in Manhattan Productivity package, including ChatGPT Plus, Claude Code, and Copilot Top notch private health, dental, and vision insurance for you and your dependents 401(k) plan options with employer matching Concierge medical/primary care through One Medical and Rightway Mental health support from Spring Health Personalized life insurance, travel assistance, and many other perks Udio’s success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. Udio provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. This role is eligible for a compensation package of base salary, equity, and benefits. The starting base salary range for this role is $160,000 - $220,000. Actual salary may vary based on level, work experience, performance, and other factors evaluated during the hiring process.

Build scalable data ingestion and linkage systems for large heterogeneous datasets to support ML workflows. | Extensive experience with large datasets, proficiency in Python, and familiarity with Google Cloud data processing tools. | About the Role We are looking for a Senior Backend Engineer to lead the unification of large, highly rich, and heterogeneous datasets sourced from a wide range of external providers. These datasets are used to power our generative audio models. Your work will create the foundational dataset that powers our research by building robust, scalable systems for linking, deduplicating, reconciling, and enriching data at massive scale. This role centers on high-impact bulk ingestion and advanced data linkage. You will design the logic, algorithms, and strategies that transform many independent datasets into a unified, high-quality canonical asset used throughout the company. You will collaborate closely with ML researchers and product teams, working with tools such as BigQuery, Dataflow/Beam, TFRecords, and—where beneficial—distributed systems frameworks like Ray. Familiarity with ML workflows using JAX or multihost training is a plus, as the datasets you produce will directly support that ecosystem. What You'll Do Build high-throughput bulk ingestion workflows to integrate datasets from multiple external providers. Design and implement scalable entity-resolution solutions, including record linking, deduplication, clustering, and conflict arbitration. Create and refine matching logic, decision rules, and similarity functions to align datasets with high accuracy and strong coverage. Define and track data quality indicators, such as overlap metrics, match precision/recall, duplicate rates, and completeness. Prepare training-ready datasets in formats such as TFRecords, and structure data to meet ML research requirements. Develop processing components using Dataflow (Beam) and manage large analytical workloads in BigQuery. Leverage frameworks like Ray to accelerate large-scale experiments, feature extraction, and research-oriented data preparation. Collaborate with ML researchers to anticipate downstream requirements and evolve linkage strategies as new sources and use cases emerge. What We're Looking For Experience working with large, heterogeneous datasets from multiple providers or domains. Strong background in entity resolution, deduplication, data unification, or related large-scale data integration techniques. Proficiency in Python, with an emphasis on efficient, scalable data processing. Experience with BigQuery, Google Dataflow/Apache Beam, or similar batch-processing frameworks. Familiarity with data validation, normalization, reconciliation, and building consistent views across diverse data sources. Ability to craft well-structured matching and decision strategies that balance accuracy, completeness, and computational efficiency. Comfortable iterating quickly on pragmatic solutions, balancing correctness with time-to-delivery. Clear communication skills and the ability to collaborate closely with ML and research teams. Nice to Have Knowledge of architecting Google Cloud Platform systems at scale Experience with distributed compute frameworks such as Ray, Spark, or Flink. Understanding of JAX-based ML pipelines, multihost training setups, or large-scale data preparation for accelerator-backed workflows. Familiarity with TFRecords or other high-volume training data formats. Exposure to ranking, clustering, or statistical similarity modeling. Experience with Go, NextJS, and/or React Native to contribute to full-stack development Why Join Us You will design the core dataset that underpins our research, product development, and generative audio models. You'll work on large-scale data challenges that require creativity, algorithmic thinking, and engineering excellence. You'll join a small, fast-moving team where your decisions shape the direction of our data and research capabilities. Benefits Highly competitive salary and equity Quarterly productivity budget Flexible time off Fantastic office location in Manhattan Productivity package, including ChatGPT Plus, Claude Code, and Copilot Top notch private health, dental, and vision insurance for you and your dependents 401(k) plan options with employer matching Concierge medical/primary care through One Medical and Rightway Mental health support from Spring Health Personalized life insurance, travel assistance, and many other perks Udio’s success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. Udio provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. This role is eligible for a compensation package of base salary, equity, and benefits. The starting base salary range for this role is $160,000 - $220,000. Actual salary may vary based on level, work experience, performance, and other factors evaluated during the hiring process.

Build and optimize high-performance mobile features, design immersive UI/UX, and collaborate across teams to deliver a top-tier music app. | Deep experience with React Native at scale, expertise in mobile UI/UX and performance, familiarity with audio systems, and ability to work cross-functionally. | About the Role We are looking for a Full-stack Product Engineer to build the next-generation mobile experience for our AI-powered music creation platform. This role sits at the intersection of product engineering, user experience, and mobile performance. You will own major user-facing features—from building a world-class music player to shipping real-time AI generation flows and socially driven interactions—while shaping the overall feel, responsiveness, and quality of the app. Your work will directly impact creators and listeners around the world. You will architect intuitive experiences, implement best-in-class UI engineering, and push React Native to its limits for high-performance audio, real-time feedback, and seamless interactive design. If you have a passion for beautifully crafted consumer apps and enjoy owning features end-to-end, you will thrive here. You will collaborate closely with design, product, backend, and ML teams, and leverage technologies like React Native, TypeScript, native modules (iOS/Android), audio frameworks, and lightweight state management tools. Experience with native performance tuning, gesture-heavy interactions, or audio playback systems is a strong plus. What You’ll Do Build immersive, high-performance mobile features using React Native, including music playback, AI generation flows, and interactive audio tools. Design and implement a world-class music player, supporting playlists, waveform displays, scrubbing, offline caching, background audio, and seamless transitions. Own creator tools and generative experiences, integrating backend APIs and ML workflows into fluid, intuitive mobile UIs. Develop core social features, such as profiles, feeds, comments, notifications, and sharing surfaces. Ship polished UI/UX with thoughtful animations, gesture systems, microinteractions, and delightful product details. Push React Native and mobile performance, optimizing startup time, navigation, component rendering, memory usage, and audio responsiveness.\ Collaborate closely with design, ensuring pixel-perfect implementations and high-quality interaction design. Bridge native modules (iOS/Android) when needed to unlock performance, audio capabilities, or hardware access beyond React Native’s abstractions. Work with backend engineers to define APIs, contracts, and data structures supporting product experiences. Even better if you can do this on your own Instrument analytics and feature experiments, ensuring clarity around user behavior, engagement, and iteration paths. Contribute to architectural decisions, helping shape the mobile codebase, design systems, and long-term technical foundation. What We’re Looking For Deep experience building and shipping React Native applications at scale. Strong ability to own product experiences end-to-end—from architecture to UI polish. Expertise in mobile UI/UX, animation, and performance optimization. Familiarity with audio playback systems, waveform rendering, low-latency interactions, or related domains. Proficiency with TypeScript, modern React patterns, and state management tools (Zustand, React Query, etc.). Strong product intuition: you care about the quality and emotional impact of the user experience. Experience integrating REST APIs into mobile applications. Comfortable working cross-functionally with designers, backend, ML, and product teams. Ability to deliver quickly, iteratively, and with high craftsmanship. Nice to Have Native mobile experience in Android (Kotlin) or iOS (Swift/Objective-C)—especially for audio, media playback, or performance-sensitive modules. Familiarity with audio frameworks (ExoPlayer, AVFoundation, Superpowered, WebAudio, etc.). Experience with gesture libraries, animations (Reanimated, Skia), or custom UI components. Knowledge of offline-first architectures, background tasks, or file-system based caching. Exposure to ML-powered features, on-device compute, or real-time generation flows. Experience building social or community-driven apps. Background contributing to design systems or scalable component libraries. Why Join Us You’ll build the core mobile experience that creators use daily to generate, edit, and share music. You’ll shape the product’s identity—its feel, its responsiveness, its delight. You’ll work at the frontier of AI x creativity, shipping features that don’t exist anywhere else. You’ll join a small, fast-moving team where your ideas and craftsmanship will define a category-defining consumer app. Benefits Highly competitive salary and equity Flexible time off (~25 days PTO/year) Fantastic office location in Manhattan Productivity package, including ChatGPT Plus and Copilot Top notch private health, dental, and vision insurance for you and your dependents 401(k) plan options with 5% employer matching Concierge medical/primary care through One Medical and Rightway Mental health support from Spring Health Personalized life insurance, travel assistance, and many other perks Udio’s success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. Udio provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. This role is eligible for a compensation package of base salary, equity, and benefits. The starting base salary range for this role is $120,000 - $220,000. Actual salary may vary based on level, work experience, performance, and other factors evaluated during the hiring process.