Senior Scientist, Multimodal & Relational Foundation Models

Altos Labs; San Francisco (CA); On-site; USD 200,900 - 257,500; Full time

Job summary

Altos Labs in San Francisco is seeking a Machine Learning Scientist to develop innovative AI models for biological data integration. The position involves working with multidisciplinary teams to pre-train systems and architect hybrid models. Candidates should hold a PhD and possess extensive experience in machine learning, particularly with deep learning frameworks like PyTorch. A collaborative mindset and a self-motivated approach to problem-solving are essential. Competitive salary range reflects expertise in the field.

Qualifications

• 5+ years of relevant work experience in academic or industry settings.
• Experience in developing AI models, specifically in multimodal integration.
• Strong understanding of diverse architectures like Transformers and GNNs.

Responsibilities

• Pre-train and fine-tune large-scale machine learning systems.
• Architect novel hybrid models for multi-hop reasoning.
• Develop Relational Foundation Models for predictive tasks.

Skills

Machine Learning

Python programming

Deep learning libraries

Collaborative mindset

Education

PhD in Computer Science or Machine Learning

Tools

PyTorch

JAX

Job description

Altos Labs in San Francisco is seeking a Machine Learning Scientist to develop innovative AI models for biological data integration. The position involves working with multidisciplinary teams to pre-train systems and architect hybrid models. Candidates should hold a PhD and possess extensive experience in machine learning, particularly with deep learning frameworks like PyTorch. A collaborative mindset and a self-motivated approach to problem-solving are essential. Competitive salary range reflects expertise in the field.