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Remote Senior Backend Engineer, Data Modeling and Ingestion PlatformGrabJobs • New York, New York, United States
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Remote Senior Backend Engineer, Data Modeling and Ingestion Platform

GrabJobs
  • US
    New York, New York, United States
  • US
    New York, New York, United States
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Über

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 Youll 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 Were 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. Youll work on large-scale data challenges that require creativity, algorithmic thinking, and engineering excellence. Youll 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.
  • New York, New York, United States

Sprachkenntnisse

  • English
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