Senior AI Researcher

New

Skills

Distributed training pipelines Ethical AI standards High-performance computing (HPC) Large-scale modeling Multimodal models Python programming PyTorch Representation learning Self-supervised learning TensorFlow

We are seeking a Senior AI Researcher specializing in Foundation AI to design, train, and optimize large-scale multimodal foundation models. This role involves conducting applied research in self-supervised learning and representation learning, and developing scalable distributed training pipelines for large models on high-performance computing (HPC) systems.

Key Responsibilities
  • Design and optimize large-scale multimodal foundation models.
  • Conduct research in self-supervised and representation learning.
  • Develop distributed training pipelines for large models.
  • Collaborate with MLOps, data, and software teams for model deployment.
  • Partner with product and research teams to deliver member-value features.
  • Ensure adherence to ethical and privacy-preserving AI standards.
Required Skills & Qualifications
  • Advanced degree (Master’s or Ph.D.) in CS, ML, EE, or related field.
  • 7+ years of experience in applied ML, AI research, or large-scale modeling.
  • Expertise in modern deep learning techniques (transformers, state space models).
  • Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
  • Familiarity with multi-node, multi-GPU distributed compute environments.
  • Knowledge of data, model, and context parallelisms.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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