Applied ML Engineer, Data

📋 Description

• Build and scale data pipelines for large video generation models.
• Collect relevant video data and prepare high-quality training samples.
• Develop preprocessing, filtering, and parsing workflows for ML data.
• Design annotation workflows across MTurk, Prolific, and similar platforms.
• Own data quality and improve tooling across the pipeline.
• Collaborate with research and engineering to deliver scalable systems.

🎯 Requirements

• 3+ years in ML, data pipelines, or related engineering roles.
• Strong Python skills and reliable ML data processing pipelines.
• Experience with AWS S3 and DynamoDB for data handling.
• Familiarity with MTurk/Prolific annotation workflows.
• Kubernetes for distributed preprocessing workloads.
• Working knowledge of PyTorch and the DL stack.

🎁 Benefits

• Competitive salary and generous equity.
• Medical, dental, and vision insurance.
• 42 days PTO including holidays and floating days.
• Generous parental leave and fertility support.
• 401(k) retirement savings plan.
• Lifestyle spending account and wellbeing perks.