Software Engineer - Data Infrastructure

Highlights

• Build scalable data infrastructure powering cutting-edge multimodal AI systems.
• Develop high-throughput pipelines accelerating machine learning research workflows.
• Partner with researchers to improve reliability and scale of ML platforms.

What they offer

• equity

Ideal candidate

A collaborative, execution-driven data engineer energized by fast-paced research environments who cares about reliable, easy-to-use infrastructure that accelerates ML innovation.

Requirements

• Proficiency in Python (or similar languages with willingness to learn Python) and experience with large-scale, high-throughput data infrastructure
• Familiarity with distributed computing frameworks (e.g., Ray, Spark, Beam)
• Ability to design and optimize data pipelines for ML research and internal teams
• Strong problem-solving skills and understanding of data engineering at scale
• Experience sourcing, integrating, and optimizing data from diverse and large datasets
• Collaborative, product-focused mindset comfortable in fast-paced environments with strong execution