Software Engineer, Data Infrastructure

Highlights

• Own strategy and execution for all data powering cutting-edge models.
• Design high-throughput pipelines for text, audio, and video datasets.
• Shape foundational model quality with tight data-to-behavior feedback loops.

What they offer

• Attractive equity package alongside competitive base salary
• Fully covered medical, dental and vision for you and family
• 9 weeks paternity and 12 weeks maternity leave
• 401(k) plan
• Monthly commuter allowance
• Flexible PTO
• Daily lunch, dinner and snacks

Ideal candidate

A pragmatic, research-driven engineer who loves owning large-scale data systems end-to-end and partnering with researchers to turn massive multimodal data into high-quality models.

Requirements

• Hands-on experience with ML data infrastructure: training data pipelines, dataset versioning, large-scale data loading, and interplay with training and inference
• Working knowledge of multimodal data, including audio formats, preprocessing, augmentation, and large-scale storage and streaming
• Strong modern engineering execution with clean, well-tested code and pragmatic tool choices
• Experience leading cross-functional technical efforts in a fast-moving, research-driven environment
• Familiarity with building and evaluating datasets for generative models and how they are trained