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Member of Technical Staff - Quantitative Research
Udio · New York City (Remote possible for exceptional candidates)
Pay
$250k–350k
Setting
Remote
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Member of Technical Staff - Quantitative Research
New York City (Remote possible for exceptional candidates)
Apply
About Uncharted/Udio
Udio builds extraordinary AI experiences to empower musical artists and super fans. Pairing best-in-class AI models with groundbreaking partnerships across the music industry, Udio's mission is to champion musicians and expand how fans engage with their favorite music and artists. Udio is backed by leading lights from tech and music, including a16z, Redpoint, Hanwha, will.i.am, Steve Stoute, Kevin Wall, and many others. For more information, please visit udio.com.
About the Role
We are looking for a full-stack scientist to pioneer quantitative research efforts at Udio.
You will build at the intersection of research, engineering and product, bridging disciplines by drawing on huge, one-of-a-kind proprietary datasets of music, metadata and user interactions/feedback. Working closely with the modeling team, product leadership and the music evaluation manager, you will apply your research toward pushing the frontier of music generation, setting a course through a bleeding-edge product category and unlocking new revenues for artists and experiences for fans.
What You’ll Do
Design & own evaluation/optimization frameworks for frontier music models
You’ll dive deep under the hood of our music generation systems, applying computational & human resources to understand model capabilities and identify areas for growth. You’ll build optimization loops and apply your findings to our pretraining, post-training and inference systems as applicable.
Drive product & research roadmap
You’ll 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.
What We’re Looking For
Deep quantitative expertise: Ph.D. in statistics, mathematics, physics, or another quantitative discipline, or 5+ years’ industry experience as a quantitative analyst / data scientist
Autonomy & ownership: You thrive in greenfield research domains, undefined product categories and small, flat teams. Driven by curiosity and good taste, you ask good questions in addition to finding good answers.
Engineering chops: You’re adept in translating your ideas into clear, production-ready code and collaborating in an active research codebase.
Excellence in scientific communication: You relate technical information with rigor and crystal clarity to researchers, engineers, product managers and business partners alike.
Nice to Have
Obsession with music & the science of sound. Experience in DSP, MIR, music production / composition / performance, and a big record collection all a huge plus.
Familiarity with deep learning frameworks, especially JAX.
Experience with GCP, Apache Beam/DataFlow, Kubernetes, TensorFlow Data / TFRecord.
Experience designing evaluation frameworks specifically for generative model outputs in any modality.
Why Join Us
Work at the intersection of science & art with a bleeding-edge music ML ecosystem, one-of-a-kind proprietary datasets and a passionate userbase.
Deploy substantial research compute resources as needed, including a powerful personal TPU pod.
Join a small, ambitious team which highly values autonomy, interdisciplinarity and continual learning.
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
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
This role is eligible for a compensation package of base salary, equity, and benefits. The salary range for this role is $250k - $350k. Actual salary may vary based on level, work experience, performance, and other factors evaluated during the hiring process.
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Senior Product Designer
Udio · New York City (Preferred)
Pay
$150k–225k
Setting
Remote
Listed by Udio for a position based in the United States. Employers on this board attest they are hiring domestically.
Head of Artist Partnerships
Udio · Los Angeles (preferred)
Pay
$160k–350k
Setting
On-site
Listed by Udio for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior Backend Engineer, Data Modeling and Ingestion Platform
Udio · New York
Pay
$180k–220k
Setting
On-site
Listed by Udio for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior Backend Engineer, Product and Infra
Udio · New York
Pay
$180k–220k
Setting
On-site
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Senior Backend Engineer, Product and Infra
New York
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About the Role
We're looking for a Senior Backend Engineer to build the systems and services that power our product experience. You'll own the backend infrastructure that makes our content discoverable, our features responsive, and our platform reliable at scale.
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.
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 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
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 $180,000 - $220,000. Actual salary may vary based on level, work experience, performance, and other factors evaluated during the hiring process.
Create a Job Alert
Interested in building your career at Udio? Get future opportunities sent straight to your email.
Create alert
Apply for this job
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Last Name*
Preferred First Name
Email*
Phone
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Phone*
Location (City)*
Locate me
Resume/CV
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Accepted file types: pdf, doc, docx, txt, rtf
Cover Letter
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