Job Description & How to Apply Below
A YC-backed company in San Francisco seeks a Research Engineer. Focus on enhancing data quality through the design of automated verification systems in a fast-paced AI environment.
In this pivotal role, your mission will be to eliminate data quality bottlenecks in a decentralized marketplace. You'll analyze data issues firsthand to inform the creation of robust automated systems that ensure the delivery of high-quality data to AI labs. Your work will ensure that the setup can evolve and meet increasing market demands.
Key Responsibilities:
• Identify and resolve data quality inconsistencies and challenges
• Perform manual checks to grasp underlying failure causes
• Create automated systems to enforce data quality at scale
• Design systems with a balance of automation and human review
• Continuously adapt verification methods to technological advancements
Requirements:
• Demonstrated technical expertise in AI/ML or software engineering
• Skilled in diagnosing data quality problems from foundational principles
• Capacity to manage and progress through complex, open-ended challenges
• Full-time availability in the San Francisco office is required
• Bonus:
Familiarity with noisy datasets and the nuances of automation vs. human review
Make a significant impact on data quality assurance and process innovation as a Research Engineer.
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