Senior Backend Engineer, Data Modeling and Ingestion Platform

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

[https://www.onemedical.com/] and Rightway

[https://www.rightwayhealthcare.com/]

* Mental health support from Spring Health [https://www.springhealth.com/]

* 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.