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DatologyAI
DatologyAI
1 – 10 Angajați
Inteligență artificială
DatologyAI dezvoltă instrumente care ajută echipele să aleagă date de antrenare mai bune pentru modelele de învățare profundă. Algoritmii săi bazați pe cercetare identifică exemple redundante, zgomotoase sau dăunătoare și funcționează cu diferite tipuri de date fără a necesita etichete. Produsele companiei sprijină organizațiile care urmăresc să îmbunătățească calitatea modelelor și să reducă costurile de antrenare, iar activitatea sa se află la intersecția dintre cercetarea în inteligența artificială și curatorierea datelor.
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Locurile de muncă ale companiei

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.

USStatele Unite ale AmericiiCACalifornia
180.000 $ – 300.000 $ / an
HibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăInginer de date
AirflowHDFSJavaPythonScalaSparkSQL

Descriere

  • 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.

Cerințe

  • 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.

Beneficii

  • 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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