Multimodal Data Research Engineer

Harnham; California (MO); On-site; USD 100,000 - 130,000; Full time

Job summary

Harnham is partnered with an innovative AI research company in California, USA, seeking a candidate for a pivotal role that merges research and engineering. The focus is on owning data processes, designing datasets, and building pipelines that shape AI model capabilities.

The ideal applicant will have a strong machine learning background, experience with multimodal datasets, and proficiency in tools like PyTorch. This position is perfect for those eager to impact the future of AI.

Qualifications

• 4+ years of experience in machine learning, ideally with a data‑centric focus.
• Experience working with large multimodal datasets and generative models.
• Strong intuition for how data quality and composition impact model behavior.

Responsibilities

• Design multimodal, multitask datasets to unlock new model capabilities.
• Run controlled experiments to understand how data impacts model performance.
• Build and scale pipelines for synthetic data generation.

Skills

Machine learning

Data-centric focus

Multimodal datasets

Data quality intuition

Proficiency in PyTorch

Tools

JAX

Kubernetes

Ray

Job description

Harnham is partnered with an innovative AI research company in California, USA, seeking a candidate for a pivotal role that merges research and engineering. The focus is on owning data processes, designing datasets, and building pipelines that shape AI model capabilities.

The ideal applicant will have a strong machine learning background, experience with multimodal datasets, and proficiency in tools like PyTorch. This position is perfect for those eager to impact the future of AI.