Lead Multimodal Data Engineer for ML Pipelines

Hark, Inc.; San Jose (CA); On-site; USD 170,000 - 450,000; Full time

Job summary

Hark, Inc. in San Jose, California is seeking a Data Engineer to build robust data infrastructure for AI model training. You will be responsible for designing and implementing data pipelines that handle text, audio, vision, and structured feedback signals.

The ideal candidate has over 5 years of experience in data engineering, specifically within the AI field, and is proficient with modern data tools such as Spark and Beam. Competitive compensation package offered, reflecting skills and experience.

Qualifications

• 5+ years of relevant data engineering experience, preferably in AI or research-driven companies.
• Comfortable designing and operating large-scale batch and streaming pipelines.
• Familiarity with data versioning systems like DVC or Delta Lake.

Responsibilities

• Design and build scalable data pipelines for multiple modalities.
• Own the end-to-end data infrastructure stack.
• Collaborate with model researchers to understand data requirements.

Skills

Data engineering fundamentals

Building data systems for machine learning

Fluency with modern data stack

Systems thinking

Quality instinct

Strong communication

Tools

Spark

Beam

Flink

Job description

Hark, Inc. in San Jose, California is seeking a Data Engineer to build robust data infrastructure for AI model training. You will be responsible for designing and implementing data pipelines that handle text, audio, vision, and structured feedback signals.

The ideal candidate has over 5 years of experience in data engineering, specifically within the AI field, and is proficient with modern data tools such as Spark and Beam. Competitive compensation package offered, reflecting skills and experience.