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Data Engineer

Imbue builds AI systems that reason and code, enabling AI agents to accomplish larger goals and safely work in the real world.
$170,000 - $350,000
Data
Senior Software Engineer
In-Person
5+ years of experience
AI

Description For Data Engineer

Imbue, an innovative AI company focused on building systems that reason and code, is seeking a Data Engineer to join their team in San Francisco. This role is crucial in building and maintaining the data infrastructure that powers their product and research initiatives. The position offers a competitive compensation package ranging from $170,000 to $350,000 in cash, plus significant equity potential ($10,000–$2,000,000).

The ideal candidate will have 5+ years of experience working with large-scale data systems and will be responsible for developing robust data pipelines, implementing analytics infrastructure, and supporting ML operations. This role combines technical expertise in data engineering with the exciting opportunity to work on cutting-edge AI systems.

Working at Imbue means joining a small, cross-functional team that's passionate about advancing AI technology. The company values learning and development, offering benefits like education budgets, team events, and the opportunity to work on groundbreaking technology. They aim to create AI systems that can safely work in the real world while empowering users.

The role involves collaborating closely with team members building coding agents, ensuring proper data capture and utilization. You'll work on various projects, from synthetic data generation to building scalable ETL pipelines and developing self-serve analytics infrastructure. The position requires expertise in data orchestration tools, cloud infrastructure, and MLOps, with a pragmatic approach to development.

This is an excellent opportunity for a skilled data engineer who wants to make a significant impact in the AI field while working with a team that values continuous learning and innovation. The role offers both technical challenges and the chance to shape the future of AI systems that can reason and code effectively.

Last updated 12 days ago

Responsibilities For Data Engineer

  • Build and maintain data pipelines and infrastructure for product and research
  • Combine synthetic data generation with human annotation platforms
  • Design and build resilient, scalable ETL and ELT pipelines
  • Develop infrastructure for self-serve analytics and experimentation
  • Define and improve data modeling practices
  • Build integrations with ML infrastructure
  • Debug pipeline failures and improve data quality

Requirements For Data Engineer

Python
  • 5+ years of experience working with large-scale data systems
  • Experience in designing and maintaining data pipelines and infrastructure
  • Proficiency with data orchestration tools (Airflow, Prefect)
  • Experience with batch/streaming processing (Spark, Ray, Flink)
  • Knowledge of event tracking and analytics tools (Amplitude, PostHog)
  • Experience with cloud-based infrastructure and storage
  • Exposure to MLOps and ML workflows
  • Pragmatic and principled approach to development

Benefits For Data Engineer

Education Budget
Equity
  • Equity compensation
  • Education Budget
  • Team events and off-sites
  • Competitive compensation
  • Learning and development opportunities

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