MLOps Engineer

Reality Defender • New York, NY

3d

About The Position

We are hiring a MLOps engineer to assist in development and support of our ML pipelines including large scale data generation, preprocessing, and ETL workflows. In this role, you will work collaboratively with both our AI and MLOps teams to transform research questions into reproducible, well-structured datasets using our existing MLOps and data platform infrastructure. You will have the opportunity to directly contribute to rapidly scaling ML pipelines that support the models underlying our core product.

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

Nice To Haves

• Master’s degree in computer science, machine learning, or a related field
• Exposure to vision or audio data processing techniques
• Experience with data lake technologies or distributed processing systems
• Familiarity with Docker or containerized batch jobs
• Understanding of dataset versioning and development vs training data separation
• Experience with ML-related data pipelines or training workflows
• Experience with our python data processing tech stack is ideal but not required
• uv for project and dependency management
• polars for dataframe workflows
• DynamoDB and PostgreSQL for live data management
• pydantic and pyright for data typing

Responsibilities

• 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

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
• Daily in-office lunch through UberEats
• Commuter benefits
• Remote Fridays
• Happy Hours and other local events

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level