Staff Machine Learning Scientist, Oncology Foundation Model

Tempus AI-posted 13 days ago
$200,000 - $260,000/Yr
Full-time • Mid Level
Remote • Chicago, IL
1,001-5,000 employees
Resume
Match Score
Upload and Match ResumeTrack Jobs with Teal

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. Focus: Contribute to the design of the core architecture of LMMs and building of the infrastructure for training it at scale.

  • Design and definition of the architecture of the LMMs, considering different fusion strategies and modality-specific processing.
  • Implement, refine, benchmark and optimize model architectures using deep learning frameworks such as PyTorch or TensorFlow.
  • Develop and manage the end-to-end training pipelines, including data loading, preprocessing, and model training.
  • Architect and deploy distributed training workflows, optimizing for performance across cloud GPU fleets.
  • Implement distributed training strategies to handle large-scale datasets and models.
  • Design and implement methods to fuse knowledge with the multimodal representations within the LMM.
  • Experiment with different approaches to enhance the model's understanding and reasoning abilities through knowledge integration.
  • Monitor and debug training processes, identifying and resolving performance bottlenecks.
  • Collaborate with the knowledge integration engineer to ensure the architecture can accommodate knowledge injection mechanisms.
  • Deep understanding of deep learning principles and architectures (especially transformers).
  • Extensive experience with multimodal machine learning concepts and techniques (for example, different fusion methods for text and images).
  • Solid understanding of optimization techniques for large-scale models.
  • Strong proficiency in Python and deep learning frameworks (PyTorch/TensorFlow) and model management libraries like HF Transformers.
  • Experience with training large multimodal models with distributed training frameworks (for example, Horovod, MosaicML) and GPU fleet management.
  • Strong understanding of knowledge representation concepts (for example, knowledge graphs, ontologies).
  • Experience with distributed training frameworks and cloud computing platforms (for example, GCP, Azure).
Track Jobs with Teal

Job Search Resources

•
AI Resume Builder
•
Machine Learning Scientist Resume Examples
•
Machine Learning Scientist Cover Letter Examples

Tools

Career Hubs

Guides

Company

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service