Design & own evaluation/optimization frameworks for frontier music models. Dive deep under the hood of our music generation systems, applying computational & human resources to understand model capabilities and identify areas for growth. Build optimization loops and apply your findings to our pretraining, post-training and inference systems as applicable.

Drive product & research roadmap. Own our data roadmap end-to-end, formulating research questions, exploring/linking/expanding data sources and conducting experiments at your discretion. Your work will span data mining, machine learning, causal inference, survey design and more, and your results will be critical for decision-making in product development, research investment and overall business direction.

Build stable infrastructure. Your work will reach far beyond the jupyter kernel, manifesting in robust integrations with our research & product tech stacks, potentially in performance-critical paths. You'll also build large-scale standalone data processing systems, allocating resources as needed to manage the data ecosystem.

Champion scientific rigor. As our first quantitative researcher, you'll cultivate a culture of scientific rigor across the company and deepen common understanding of models, users and data. You'll proactively identify opportunities, define metrics, share results, and build a rigorous foundation upon which to understand our highly subjective domain.

We're looking for someone with deep quantitative expertise, preferably a Ph.D. in statistics, mathematics, physics, or another quantitative discipline, or 5+ years' industry experience as a quantitative analyst / data scientist. Autonomy & ownership are key, as you'll thrive in greenfield research domains, undefined product categories and small, flat teams. Engineering chops are also important, as you'll need to translate your ideas into clear, production-ready code and collaborate in an active research codebase.

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You will serve as the primary external-facing leader for artist engagement, shaping how artists experience Udio and how Udio collaborates with the broader music ecosystem. This role combines strategic relationship-building, deal execution, and close collaboration with internal product, legal, and leadership teams to ensure artists are onboarded successfully and supported over time.

Responsibilities:

• Lead outreach, relationship development, and negotiations with artists, artist managers, labels, publishers, and other music industry stakeholders.
• Drive artist adoption of the Udio Artist Platform, from initial conversations through onboarding and ongoing engagement
• Act as a trusted partner and point of contact for artists and their teams, representing artist interests internally while advancing Udio's strategic goals.
• Develop and refine partnership strategies that scale across genres, geographies, and artist profiles.
• Collaborate closely with legal, product, marketing, and leadership teams to structure artist participation frameworks, terms, and workflows.
• Gather feedback from artists and managers to inform product improvements and platform evolution.
• Represent Udio at industry events, showcases, conferences, and private meetings.
• Track partnership performance and engagement metrics to inform strategy and reporting.

Requirements:

• Deep experience working directly with artists, managers, labels, or other music industry stakeholders.
• Strong network across the music industry, with credibility and trust among artists and their representatives.
• Proven ability to negotiate, close, and manage complex partnerships or deals.
• Excellent communication and interpersonal skills, with the ability to bridge creative, legal, and technical conversations.
• Strategic thinker who can also execute hands-on in a fast-moving environment.
• Comfort operating at both executive and working levels, internally and externally.

Nice to Have:

• Experience at a record label, music tech company, management firm, or digital platform.
• Familiarity with artist rights, licensing structures, and evolving creator-economy models.
• Experience launching or scaling artist-facing platforms or programs.
• Background working with emerging technologies in music or creative tools.

Why Join Us:

• You will define and lead how artists engage with Udio at a pivotal moment in the company's growth.
• You'll work directly with top-tier artists and industry leaders while shaping the future of creative collaboration.
• You'll join a small, ambitious team where relationships, trust, and execution truly matter.

Benefits:

• Highly competitive salary and equity
• Quarterly productivity budget
• Flexible time off
• 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 5% employer matching
• Concierge medical and primary care through One Medical and Rightway
• Mental health support from Spring Health
• Personalized life insurance, travel assistance, and many other perks

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You will own the end-to-end design of our mobile experience, from high-level flows to detailed interactions. This is a zero-to-one opportunity that requires working closely with product, engineering, and research teams, as well as hands-on design development and iteration.

Responsibilities:

• Own the end-to-end design of our mobile app, from big-picture flows to micro-interactions.
• Partner with product, engineering, and research to translate early-stage ideas into shipped features.
• Build and evolve our design system to ensure the product feels cohesive as we scale.
• Collaborate with artists and musicians as creative partners, not just users to study.
• Focus on the details that separate good from great,motion, spacing, timing, and feel.

Requirements:

• 5+ years of experience designing mobile-first consumer products.
• Ability to explore many directions quickly, prototype to learn, and iterate without attachment to early ideas.
• High agency and ownership,you identify problems, develop solutions, and drive work forward independently.
• Comfort working in ambiguity and navigating open-ended product questions.
• Fluency in Figma, prototyping tools, and design systems.
• Genuine curiosity about how people discover and make music.

Nice to Have:

• Background in music, audio, or entertainment products.
• Experience designing for generative AI or emerging technologies.

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

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Your work will directly shape what users experience: designing APIs that serve rich content, building services that handle real-time interactions, implementing content-matching systems for rights and safety, and ensuring our platform performs under load. You'll architect systems that are fast, correct, and maintainable.

You'll collaborate closely with Product, ML Research, and Mobile/Web teams to ship features that matter. We use Python, Go, BigQuery, Pub/Sub, and a microservices architecture,but we care more about good judgment than specific tool experience.

Responsibilities

• 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.

Requirements

• Experience building production backend services and APIs at scale
• 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, Go, 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

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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 centres 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.

Responsibilities:

• 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.

Requirements:

• 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.

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