Data Engineer / ML Ops

You will own the end-to-end data strategy, including sourcing, curating, structuring, scaling, and optimizing data for models and products. You will work with multimodal text, video, and image datasets, address video-data challenges for machine-learning training, optimize labeling and automation workflows, and derive value from internal platform data while balancing speed and precision.

Responsibilities

• Own the end-to-end data strategy
• Anticipate future data needs
• Influence AI model training through high-quality data
• Source and curate multimodal text, video, and image data
• Address video-data challenges for machine-learning training
• Optimize labeling and automation workflows
• Unlock value from internal platform data
• Balance speed with precision

Requirements

• Experience with LLMs and multimodal datasets
• Strong automation skills
• Strong Python, SQL, and large-scale data processing experience
• Ability to define best practices in new problem spaces

Benefits

• Flexible work schedule
• Unlimited PTO
• Competitive healthcare stipends
• Gear stipends