Reality Defender (YC W22)

MLOps Engineer

Reality Defender (YC W22)

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $90,000 - $120,000 per year

Job Level

About the role

  • Work with ML engineers and researchers to ensure delivered datasets are usable and correctly scoped
  • Build and run batch data generation and preprocessing jobs for image, video, and audio data
  • Execute preprocessing pipelines using shared batch orchestration tools
  • Design and run ETL jobs to ingest, transform, and organize data in our warehouse.
  • Validate input and output datasets (schema, metadata, basic quality checks)
  • Collect, organize, and deliver processed datasets using established conventions
  • Support creation of development and prototype datasets ahead of large-scale backfills
  • Maintain version control of data processing repositories following industry best practices
  • Debug data pipeline failures, ETL issues, and data quality problems

Requirements

  • Bachelor's degree in computer science, machine learning, or a related field
  • 1+ year of experience working with large datasets in a production environment or academic setting
  • Strong command of Python fundamentals and data wrangling (pandas, scikit-learn, matplotlib)
  • Basic experience with batch data pipelines and ETL workflows
  • Familiarity with cloud object storage (AWS S3 or equivalent) and structured data organization
  • Basic understanding of structured data organization and common associated issues
  • Ability to follow structured workflows and deliver reproducible results
  • Attention to detail and strong ownership of data quality
  • Basic experience working with cloud services
Benefits
  • Healthcare plans with 100% premium coverage for employees and partial coverage available for dependents
  • Dental and Vision plans with 100% premium coverage for employees and their dependents
  • Short/Long-term disability and life insurance plans with 100% premium coverage for employees
  • FSA/HSA and 401k programs
  • Equity compensation
  • 20 days of PTO per year
  • 12 weeks of Parental Leave
  • Learning and Development budget
  • Monthly wellness benefits
  • Annual company-sponsored offsite
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Pythondata wranglingpandasscikit-learnmatplotlibETLbatch data pipelinesdata preprocessingdata validationdata quality
Soft Skills
attention to detailownershipstructured workflowsreproducible results
Certifications
Bachelor's degree in computer scienceBachelor's degree in machine learningBachelor's degree in a related field