Research Engineer

📋 Description

• Analyze data quality issues across inconsistencies, formatting, and ingestion.
• Perform hands-on data reviews to identify quality issues and automation opportunities.
• Design scalable QA systems using rule-based, AI-driven, and automated evaluation.
• Develop hybrid verification workflows combining automation with human-in-the-loop review.
• Research and implement new data validation approaches as AI tech evolves.
• Own complex open-ended problems from exploration through optimization.

🎯 Requirements

• Strong technical background with ability to learn quickly in a fast-changing AI landscape.
• Experience in AI/ML engineering or software engineering in an AI-focused environment.
• Proven experience with data ingestion, processing pipelines, or large-scale data systems.
• Ability to reason about data quality issues using first-principles thinking.
• Strong ownership mindset to manage ambiguous projects from concept to completion.
• Willingness to collaborate in a high-impact, fast-paced environment.

🎁 Benefits

• Competitive base salary of $140,000–$250,000 USD, depending on experience.
• Equity participation opportunities.
• Fully remote work model within the United States.
• Opportunity to solve challenging AI infrastructure problems with significant business impact.
• High ownership and autonomy in shaping technical solutions.
• Exposure to cutting-edge AI data workflows and emerging technologies.