Research Engineer, QC Automation

Hud
San Francisco, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

San Francisco, United States of America

Tech stack

Training Data
Automation of Tests
Data Validation
Software Debugging
Python
Linux System Administration
Large Language Models
Docker
Data Generation

Job description

We're looking for Research Engineers to automate QC for training data created by companies using HUD's infrastructure. You'll build the systems that scale quality to help us meet our continued strong demand., * Create QC systems based on true understanding and human judgement, without relying heavily on LLMs

  • Define and enforce quality standards for training data
  • Design experiments and metrics to grade agent outputs
  • Partner with data vendors to debug quality issues and diagnose agent failure modes, provide actionable feedback, and improve their data generation processes
  • Translate QC learnings into systems for auditing supplier-generated datasets, including sampling strategies, validation pipelines (rule-based and model-assisted), and feedback loops
  • Continuously integrate QC learnings into infrastructure tools and data vendor portal to reduce anomalies, inconsistencies, and edge cases

Requirements

You may be a good fit if you have:

  • Proficiency in Python, Docker, and Linux environments
  • Strong understanding of what "good data" means and how to measure it
  • Built scalable data validation pipelines and automated QA/QC systems end-to-end without a fully prescribed roadmap
  • Experience working on benchmarks and evals - you can reason about what makes a task realistic, a rubric reliable, an environment usable, and a trajectory useful for RL training
  • Early-stage startup experience with ability to work independently in fast-paced environments

Strong candidates may also:

  • Be detail-oriented and able to spot subtle inconsistencies or edge cases in data
  • Be comfortable designing metrics, experiments, and QA/QC processes, not just executing them
  • Have experience with existing benchmarks and can reason about how to construct tasks in new evals
  • Thrive in unstructured problem spaces
  • Strong communication skills for remote collaboration across time zones

We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.

Benefits & conditions

Pulled from the full job description

  • 401(k)
  • Health insurance
  • Paid time off
  • Vision insurance
  • Dental insurance
  • Commuter assistance
  • Paid holidays, * Competitive compensation based on experience and location
  • 100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA
  • Lunch and dinner when you're in the office
  • Company-wide holiday break (Christmas Eve to New Year's Day) on top of PTO and paid holidays
  • Other perks including an Equinox membership, 401k, and commuter benefits
  • Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. *By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.

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