Staff Machine Learning Scientist, Oncology Foundation Model

July 19

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🌽 Illinois – Remote

Although this job is listed in Illinois, this company may be open to hiring remote in other states.

+1 more states

🏄 California – Remote 🌽 Illinois – Remote 🗽 New York – Remote

💵 $200k - $260k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Tempus AI

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Healthcare • Biotechnology • Artificial Intelligence

Tempus AI is an advanced healthcare technology company that specializes in precision medicine through the use of AI and genomic profiling. The company provides innovative solutions across various medical fields, including oncology, cardiology, neurology, and psychiatry. Tempus enables healthcare providers to make informed treatment decisions by integrating real-world data, clinical trial matching, and algorithmic testing to improve patient outcomes and accelerate drug development.

1001 - 5000 employees

Founded 2015

🧬 Biotechnology

🤖 Artificial Intelligence

📋 Description

• 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.

🎯 Requirements

• 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).

🏖️ Benefits

• Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.