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DatologyAI
DatologyAI
1 – 10 Employees
Artificial Intelligence
DatologyAI develops tools that help teams choose better training data for deep learning models. Its research-driven algorithms identify redundant, noisy, or harmful examples and work across data types without requiring labels. The company’s products support organizations seeking to improve model quality while reducing training costs, and its work sits at the intersection of artificial intelligence research and data curation.
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Senior Data Infrastructure Engineer

Build scalable data infrastructure for DatologyAI’s AI data curation platform. Work with founders, researchers, and engineers on core product and platform development.

USUnited StatesCACalifornia
$180,000 – $300,000 / year
HybridFull-timeMiddleSeniorEnglish RequiredData Engineer
AirflowHDFSJavaPythonScalaSparkSQL

Description

  • Build and maintain scalable data processing systems with a focus on reliability and security.
  • Design and deploy backend services for DatologyAI’s data curation platform.
  • Work with researchers and engineers to deliver customer features and research capabilities.
  • Maintain secure, reliable systems that earn customer trust.
  • Collaborate with founders on product direction and key technical decisions.
  • Lead development of the core product and data platform.
  • Help shape the company’s technology, products, and culture.

Requirements

  • Bring at least four years of data engineering experience, including end-to-end ownership of production systems.
  • Have experience with scalable processing frameworks such as Spark or Flink.
  • Have experience with storage systems such as HDFS or S3.
  • Have experience with data lakes or warehouses such as Snowflake or Hive.
  • Have experience using SQL.
  • Have experience with workflow orchestration tools such as Airflow or Dagster.
  • Be proficient in Python, Scala, or Java.
  • Have served as a technical lead on a data engineering, platform, or infrastructure team.
  • Have built machine learning or deep learning systems, or data infrastructure for large-scale model training.
  • Apply strong design, correctness, and testing standards to build scalable, reliable, secure systems.
  • Bring a collaborative, low-ego approach, take ownership, and follow problems through to completion.
  • Visa sponsorship is available to candidates selected for the role.

Benefits

  • Medical, vision, and dental coverage fully paid by the company.
  • 401(k) plan with a 4% company match.
  • Unlimited paid time off.
  • 12 weeks of paid parental leave, plus six months of work-from-home flexibility.
  • Annual wellness stipend of $2,000.
  • Annual learning and development stipend of $1,000.
  • Lunch and snacks provided daily at the office.
  • Relocation assistance for employees moving to the Bay Area.
  • Equity in the company.

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