Synthetic Data Engineer

BlueGen AI

Stati Uniti

Ibrido

USD 94.000 - 138.000

Tempo pieno

8 giorni fa

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Remote work
Development opportunities

Descrizione del lavoro

BlueGen AI in the Netherlands is seeking a software engineer to translate cutting-edge research in synthetic data and privacy into practical solutions. You will collaborate with customers and an engineering team to generate high-quality synthetic data and expand support for diverse data types.

You will design robust software, investigate failure cases, and build features as part of a dynamic team. The role involves engaging with enterprise customers across Europe.

Competenze

  • Background in computer science, artificial intelligence, or a related field.
  • Strong analytical, machine learning, and coding abilities.
  • Ability to translate research into practical software solutions.

Mansioni

  • Work with customers to help generate useful synthetic data while protecting privacy.
  • Implement algorithms for processing different data types.
  • Design robust software that handles the complexity of real-world data.
  • Investigate failure cases and use findings to improve synthetic data quality.
  • Build product features and systems as part of the software engineering team.
  • Contribute to work with enterprise customers across Europe.

Conoscenze

Analytical thinking
Machine learning
Programming skills

Formazione

Background in computer science, AI or related field

Descrizione del lavoro

Role overview

Translate current research in synthetic data and privacy into software that addresses real-world data challenges. You’ll work with customers and the engineering team to generate high-quality synthetic data, improve support for different data types, and strengthen product systems for complex datasets.

Responsibilities
  • Work with customers to help generate useful synthetic data while protecting privacy.
  • Implement algorithms for processing different data types.
  • Design robust software that handles the complexity of real-world data.
  • Investigate failure cases and use findings to improve synthetic data quality.
  • Build product features and systems as part of the software engineering team.
  • Contribute to work with enterprise customers across Europe.
Requirements
  • Background in computer science, artificial intelligence, or a related field.
  • Analytical, machine learning, and coding skills.
  • Ability to work with complex data and translate research into practical solutions.
  • Assertive, entrepreneurial approach to collaboration and problem-solving.
Benefits and work setup
  • Based in The Hague, Netherlands, with remote work indicated.
  • Individual development goals and opportunities to grow into senior roles.
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