MLOps Engineer
Company: Reality Defender
Location: New York City
Posted on: April 1, 2026
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Job Description:
Who we are. Reality Defender is an award-winning cybersecurity
company helping enterprises and governments detect deepfakes and
AI-generated media. Utilizing a patented multi-model approach,
Reality Defender is robust against the bleeding edge of generative
platforms producing video, audio, imagery, and text media. Reality
Defender's API-first deepfake detection platform empowers teams and
developers alike to identify fraud, disinformation campaigns, and
harmful deepfakes in real time. Backed by world class investors
including DCVC, Illuminate Financial, Y Combinator, Booz Allen
Hamilton, IBM, Accenture, Rackhouse, and Argon VC, Reality Defender
works with leading enterprise clients, financial institutions, and
governments in order to ensure AI-generated media is not used for
malicious purposes. Youtube: Reality Defender Wins RSA Most
Innovative Startup The ML OPs Engineer Role. 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. What you will do. 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 Required qualifications.
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 have. 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 What we offer.
Reality Defender offers the following benefits to all our
employees, regardless of location: 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 For employees
working from Reality Defender’s HQ in NYC, we offer the following
benefits: Daily in-office lunch through UberEats Commuter benefits
Remote Fridays Happy Hours and other local events
Keywords: Reality Defender, Middletown , MLOps Engineer, Engineering , New York City, Connecticut
