Data Engineer - Real-Time AI/ML Pipelines for Voice

MetaVoice; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Significant equity

Comprehensive health insurance

401(k)

Immigration support

Job summary

A cutting-edge AI company in San Francisco seeks a talented engineer to build infrastructure for voice AI conversations. The role involves creating distributed data pipelines and optimizing systems for large datasets. Ideal candidates should have experience with AI/ML products, particularly in handling multimodal data, and possess strong problem-solving skills. The position offers a collaborative environment and significant equity as a founding team member, with a competitive salary range of $180K–$250K.

Qualifications

• Experience with large data processing, handling tens of terabytes.
• Proficient in AI/ML systems and multimodal data.
• Ability to adapt quickly in a fast-paced setting.

Responsibilities

• Build and maintain infrastructure for processing large datasets.
• Create and optimize distributed data pipelines for AI applications.
• Collaborate with team members to iteratively improve systems.

Skills

Building infrastructure & distributed data pipelines

Experience with multimodal data

Learning quickly and adapting

Batch processing and real-time streaming systems

Designing complex transformation pipelines

Tools

Spark

Kafka

Flyte

Kubernetes

Job description

A cutting-edge AI company in San Francisco seeks a talented engineer to build infrastructure for voice AI conversations. The role involves creating distributed data pipelines and optimizing systems for large datasets. Ideal candidates should have experience with AI/ML products, particularly in handling multimodal data, and possess strong problem-solving skills. The position offers a collaborative environment and significant equity as a founding team member, with a competitive salary range of $180K–$250K.