Senior Backend Engineer, Data Modeling and Ingestion Platform or Remote

Senior Backend Engineer, Data Modeling and Ingestion Platform

New York or Remote

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 Big Query, 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.

• 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 Big Query
  .
• 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.

• 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
  Big Query, 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.

• 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

• 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.
• 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
• 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.