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1 день назад

Software Engineer, Data (AI)

240 000 - 280 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Software Engineer, Data (AI): Developing and optimizing a scalable enterprise data platform for model training with an accent on data acquisition, preparation, and quality evaluation. Focus on building production pipelines for high-quality training data and implementing data lineage and monitoring systems.

Location: Must be based in Palo Alto, CA

Salary: $240,000 - $280,000 USD

Company

hirify.global aims to create AI systems that accurately understand the universe to aid humanity in its pursuit of knowledge.

What you will do

  • Develop a highly reliable and scalable enterprise data platform to orchestrate data acquisition, preparation, and delivery for model training.
  • Implement new features such as data lineage, visibility, and monitoring to improve data quality and model performance.
  • Collaborate with peers on system architecture, design, and comprehensive code reviews.
  • Build prototypes to validate key design concepts and quantify technical constraints.
  • Own all stages of software engineering and product development from conception to delivery.
  • Solve complex business problems using first principles thinking.

Requirements

  • Bachelor's degree in CS, Data Science, Engineering, Math, Physics, or a similar scientific discipline (or 2+ years of professional experience).
  • 1+ years of experience in application development, software engineering, data engineering, or data science.
  • Must be based in Palo Alto, CA.
  • Strong communication skills with the ability to concisely and accurately share knowledge.

Nice to have

  • Proficiency in Python, Rust, Java, C#, Scala, Go, or similar languages.
  • Frontend experience with Angular, React, or similar JavaScript frameworks.
  • Hands-on experience with Kubernetes and containerized deployments.
  • Experience with Ray, AI training, and orchestration.
  • Experience with PostgreSQL, Iceberg, Clickhouse, Grafana, Superset, or similar data tools.
  • Understanding of statistics, machine learning algorithms, and frameworks.

Culture & Benefits

  • Flat organizational structure where leadership is earned through initiative and excellence.
  • Equity and comprehensive medical, vision, and dental coverage.
  • Access to a 401(k) retirement plan.
  • Short-term and long-term disability insurance and life insurance.
  • High-performance environment focused on engineering excellence and curiosity.

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