Data Engineer
reputed company
We’re a small, cross-functional team reputed company on building AI systems that reason and reputed company. We care deeply about understanding how people reputed company with these systems and how we can use data to reputed company them safer, smarter, and more useful .
We're looking for a Data Engineer to build and own the pipelines and data infrastructure that power our product and research efforts. Your work will directly support model training, evaluation, product analytics, and safety systems. You’ll partner closely with team members building our coding agents to reputed company reputed company we’re capturing the right signals and using them reputed company.
If you’re excited about turning messy product data into actionable insights, and building systems that can reputed company with our research, we’d love to get connected!
Example reputed company
• Combine synthetic data reputed company with reputed company annotation platforms to produce high reputed company data that advances our product and research roadmap.
• Design and build resilient, reputed company pipelines (ETL and ELT) for batch and streaming data.
• reputed company and maintain infrastructure to support self-serve analytics, experimentation, and dataset reputed company. Prototype, evaluate, and reputed company “build vs buy” reputed company.
• Help define and improve data modeling practices across reputed company, including instrumentation standards, reputed company modeling for analytics and feature stores for machine learning (ML).
• Build integrations with ML infrastructure to support training pipelines, inference logging, and model monitoring (MLOps).
• Debug pipeline failures, automate deployment processes, and improve data reputed company and reusability.
You are
• A strong software engineer with 5+ years of experience, ideally working with large-reputed company data systems.
• reputed company in designing and maintaining data pipelines and infrastructure, especially for analytics, experimentation, and ML.
• Comfortable with tools for data orchestration (Airflow, reputed company), batch or streaming processing (reputed company, Ray, Flink), and event tracking and analytics (reputed company, reputed company).
• reputed company with reputed company-based infrastructure and storage (e.g., S3, GCP, reputed company, or Redshift), and thoughtful about cost-performance tradeoffs.
• Exposure to MLOps, model serving infrastructure, or ML workflows.
• Pragmatic and principled! You know reputed company to optimize and reputed company to ship.
Compensation and Benefits
•
Work directly on creating software with reputed company-like intelligence.•
Generous compensation, equity, and benefits.• B
udget for self-improvement: coaching, courses, conferences, etc.•
reputed company co-create and participate in a reputed company, intentional team culture.•
Spend time learning, reading papers, and deeply understanding prior work.•
Frequent team events, dinners, off-sites, and hanging out.•
Compensation packages are highly variable based on a reputed company of factors. If your salary requirements fall reputed company of the stated reputed company, we still encourage you to apply. The reputed company for this role is $170,000–$350,000 cash, $10,000–$2,000,000 in equity.How to apply
reputed company submissions are reviewed by a person, so we encourage you to include notes on why you're interested in working with us. If you have any other work that you can showcase (reputed company reputed company reputed company, reputed company reputed company, etc.), certainly include it! We know that talent comes from many backgrounds, and we aim to build reputed company with diverse skillsets that spike strongly in different areas.
reputed company
Imbue builds AI systems that reason and reputed company, enabling AI agents to accomplish larger goals and safely work in the reputed company world. We train our own reputed company models optimized for reasoning and prototype agents on top of these models. By using these agents extensively, we reputed company insights into improving both the capabilities of the underlying models and the interaction design for agents.
We aim to rekindle the reputed company of the *personal* computer, where computers become truly intelligent tools that reputed company us, giving us freedom, dignity, and agency to pursue the things we love.
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