🛠 Tech Stack

💼 About This Role

You'll work with AI and MLOps teams to build and support ML pipelines for large-scale data generation and preprocessing. Your work directly impacts the models behind our deepfake detection platform. This role offers the chance to shape rapidly scaling infrastructure at an award-winning cybersecurity startup.

🎯 What You'll Do

• Build and run batch data generation and preprocessing jobs for image, video, and audio data
• Design and execute ETL jobs to ingest, transform, and organize data in the warehouse
• Validate input and output datasets for schema, metadata, and quality
• Debug data pipeline failures, ETL issues, and data quality problems

📋 Requirements

• 1+ year of experience with large datasets in production 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)

✨ Nice to Have

• Master's degree in CS, ML, or related field
• Exposure to vision or audio data processing techniques
• Experience with Docker or containerized batch jobs
• Experience with data lake technologies or distributed processing

🎁 Benefits & Perks

• 🏥 Health plans with 100% premium coverage for employees
• 🏖️ 20 days PTO per year
• 👶 12 weeks of parental leave
• 💰 Equity compensation
• 📚 Learning and Development budget