Senior Machine Learning Research Scientist

New
United StatesFull-TimeSenior
Salary200,000 - 220,000 USD per year
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Job Details

Required Skills
Machine LearningPyTorchDeep LearningMLOps

Requirements

  • Proven experience in machine learning research, including publications in top-tier conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL)
  • Strong hands-on experience building and training deep learning models using frameworks such as PyTorch or JAX
  • Deep understanding of neural network architectures, distributed training, and large-scale model development
  • Experience working with multi-GPU or multi-node training environments for large language models
  • Ability to deploy research models into production systems and work with MLOps workflows
  • Strong analytical, debugging, and problem-solving skills in complex ML systems
  • Excellent communication skills with the ability to explain technical concepts clearly
  • Interest in healthcare AI and willingness to develop domain expertise in clinical data

Responsibilities

  • Lead end-to-end machine learning research initiatives, from ideation and experimentation to production deployment and ongoing model monitoring.
  • Design novel algorithms, improve existing systems, and help shape the organization’s broader AI research direction.
  • Lead research and development of advanced ML models, including LLM alignment, self-supervised learning, and multimodal architectures.
  • Design, implement, and evaluate new algorithms and baseline models using modern deep learning frameworks.
  • Collaborate with engineering teams to deploy models into production and ensure performance monitoring and reliability.
  • Contribute to data-centric AI efforts, including dataset design, curation, and experimental methodology.
  • Develop novel approaches for retrieval, attribution, hallucination detection, and explainability in generative systems.
  • Participate in research dissemination, scientific writing, and external academic engagement.
  • Work closely with cross-functional teams to integrate clinical domain knowledge into ML solutions.
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200,000 - 220,000 USD per year
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