Foundation ML Scientist for Multimodal Discovery

Harnham; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Harnham is seeking a Machine Learning Research Scientist to advance next-generation foundation models for complex multimodal datasets. This individual contributor role suits an independent researcher who designs rigorous experiments, builds models, and translates findings into actionable insights.

You will lead projects from concept to conclusion, collaborate with domain experts, and contribute to publications and conference submissions.

Qualifications

• Strong record of original machine learning research (conference or industrial).
• Doctoral-level research in ML or a quantitative discipline.

Responsibilities

• Design, train, and evaluate large-scale foundation models across multimodal datasets.
• Develop methods for combining information from multiple data sources, modalities, and abstraction levels.
• Create evaluation frameworks, benchmark tasks, and metrics to assess model effectiveness.
• Prototype research concepts quickly and assess potential impact.
• Collaborate with domain experts and ML practitioners to solve complex problems.
• Apply emerging AI approaches to research workflows and communicate findings to diverse audiences.
• Contribute to publications, conference submissions, and broader research engagement.
• Lead projects from concept formulation through experimentation and final conclusions.

Skills

Identifying meaningful problems

Designing rigorous experiments

Building models

Translating findings into insights

Education

PhD in Computer Science or related quantitative field

Job description

Harnham is seeking a Machine Learning Research Scientist to advance next-generation foundation models for complex multimodal datasets. This individual contributor role suits an independent researcher who designs rigorous experiments, builds models, and translates findings into actionable insights.

You will lead projects from concept to conclusion, collaborate with domain experts, and contribute to publications and conference submissions.