Job Title: MLOps Engineer

Company Name: Reality Defender

Job Details: $90k-$120k/yrRemoteFull,Time

Job Url: https://hiring.cafe/viewjob/26ik8wltszl7sgow

Job Description: Posted 16h agoMLOps Engineer@ Reality DefenderView All JobsWebsiteUnited States$90k-$120k/yrRemoteFull TimeResponsibilities:build datasets, run pipelines, design ETLRequirements Summary:1+ year of experience with large datasets; Python data wrangling; ETL and batch pipelines; cloud storage.Technical Tools Mentioned:Python, Pandas, Scikit-learn, Matplotlib, AWS S3, Docker
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 StartupThe 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 scopedBuild and run batch data generation and preprocessing jobs for image, video, and audio dataExecute preprocessing pipelines using shared batch orchestration toolsDesign 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 conventionsSupport creation of development and prototype datasets ahead of large-scale backfillsMaintain version control of data processing repositories following industry best practicesDebug data pipeline failures, ETL issues, and data quality problemsRequired qualifications. Bachelor's degree in computer science, machine learning, or a related field1+ year of experience working with large datasets in a production environment or academic settingStrong command of Python fundamentals and data wrangling (pandas, scikit-learn, matplotlib)Basic experience with batch data pipelines and ETL workflowsFamiliarity with cloud object storage (AWS S3 or equivalent) and structured data organizationBasic understanding of structured data organization and common associated issuesAbility to follow structured workflows and deliver reproducible resultsAttention to detail and strong ownership of data qualityBasic experience working with cloud servicesNice to have. Master’s degree in computer science, machine learning, or a related fieldExposure to vision or audio data processing techniquesExperience with data lake technologies or distributed processing systemsFamiliarity with Docker or containerized batch jobsUnderstanding of dataset versioning and development vs training data separationExperience with ML-related data pipelines or training workflowsExperience with our python data processing tech stack is ideal but not requireduv for project and dependency managementpolars for dataframe workflowsDynamoDB and PostgreSQL for live data managementpydantic and pyright for data typingWhat 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 dependentsDental and Vision plans with 100% premium coverage for employees and their dependentsShort/Long-term disability and life insurance plans with 100% premium coverage for employeesFSA/HSA and 401k programsEquity compensation20 days of PTO per year12 weeks of Parental LeaveLearning and Development budgetMonthly wellness benefitsAnnual company-sponsored offsiteFor employees working from Reality Defender’s HQ in NYC, we offer the following benefits:Daily in-office lunch through UberEatsCommuter benefitsRemote FridaysHappy Hours and other local events