Senior Multimodal AI Foundations Researcher

WHOOP; Boston (MA); Sur place; USD 190 000 - 230 000; Plein temps

Avantages offerts par ce poste

Equity package

Health benefits

Flexible working environment

Résumé du poste

Femtech Insider Ltd. is seeking a Senior AI Researcher to join their Foundation AI team in Boston, MA. The role involves designing and optimizing multimodal models that combine various data sources to enhance health and performance.

The ideal candidate will possess an advanced degree in a related field and have over 7 years of hands-on experience in applied machine learning and AI research. This includes a strong proficiency in deep learning frameworks and excellent communication skills to collaborate effectively with cross-functional teams.

The position offers a competitive salary between $190,000 and $230,000, along with a generous equity package and benefits.

Qualifications

• 7+ years of experience in applied ML, AI research, or large-scale modeling.
• Familiarity with multi-node, multi-GPU distributed compute environments.
• Strong experience with reinforcement learning for foundation models.

Responsabilités

• Design, train, and optimize large-scale multimodal foundation models.
• Conduct applied research in self-supervised learning.
• Develop scalable, distributed training pipelines for large models.

Connaissances

Deep learning expertise

Multimodal model training

Python proficiency

Self-supervised methods

Communication skills

Formation

Advanced degree in Computer Science, ML, or related field

Outils

PyTorch

TensorFlow

Description du poste

Femtech Insider Ltd. is seeking a Senior AI Researcher to join their Foundation AI team in Boston, MA. The role involves designing and optimizing multimodal models that combine various data sources to enhance health and performance.

The ideal candidate will possess an advanced degree in a related field and have over 7 years of hands-on experience in applied machine learning and AI research. This includes a strong proficiency in deep learning frameworks and excellent communication skills to collaborate effectively with cross-functional teams.

The position offers a competitive salary between $190,000 and $230,000, along with a generous equity package and benefits.