Staff Machine Learning Scientist at Tempus

Chicago, Illinois, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

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)

Responsibilities

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

Skills

Key technologies and capabilities for this role

PyTorchTensorFlowTransformersMultimodal Machine LearningFusion StrategiesDistributed TrainingDeep Learning ArchitecturesOptimization TechniquesData PreprocessingCloud GPU

Questions & Answers

Common questions about this position

What is the salary range for this Staff Machine Learning Scientist position?

The pay range varies by location: New York and California $220,000-$260,000 USD, Illinois and Remote-USA $200,000-$240,000 USD. Actual salary may vary based on qualifications and experience.

Is this position remote or does it require a specific location?

The role supports remote work in the USA with a pay range of $200,000-$240,000 USD, and has specified pay ranges for New York, California, and Illinois.

What key skills are required for this role?

Required skills include deep understanding of deep learning principles (especially transformers), extensive experience with multimodal machine learning, strong proficiency in Python and PyTorch/TensorFlow, experience with distributed training frameworks like Horovod or MosaicML, and understanding of knowledge representation like knowledge graphs.

What benefits does Tempus offer?

Tempus offers a full range of benefits, which may include incentive compensation and restricted stock units.

What makes a strong candidate for this position?

A strong candidate will have extensive experience training large multimodal models with distributed frameworks, proficiency in PyTorch/TensorFlow, and deep knowledge of transformers, multimodal fusion, and knowledge representation.

Tempus

AI-driven healthcare data analysis platform

About Tempus

Tempus focuses on enhancing patient outcomes through the use of data and artificial intelligence in healthcare. The company offers a platform that analyzes medical data to provide insights for physicians, helping them make better treatment decisions. This platform also aids pharmaceutical and biotech companies in drug development by identifying new targets and assessing treatment effectiveness. For patients, Tempus identifies personalized therapy options, particularly in cancer care, where their research has shown increased opportunities for tailored treatments. They have developed a pan-cancer organoid platform and a liquid biopsy assay for profiling circulating tumor DNA. Tempus generates revenue by charging healthcare providers and companies for access to their platform and insights, setting them apart from competitors by their focus on personalized medicine and extensive cancer research.

Chicago, IllinoisHeadquarters

2015Year Founded

$894.9MTotal Funding

IPOCompany Stage

AI & Machine Learning, Biotechnology, HealthcareIndustries

1,001-5,000Employees

Benefits

Relocation Assistance

Company Equity

Performance Bonus

Risks

Competition from partners like Genialis may lead to conflicts of interest.

Ambry Genetics acquisition could pose financial risks if synergies aren't realized.

Technical challenges may arise in integration with Flatiron's OncoEMR platform.

Differentiation

Tempus uses AI to analyze clinical and molecular data for precision medicine.

Their platform aids in personalized treatment decisions for cancer patients.

Tempus collaborates with biotech firms to enhance drug development using real-world data.

Upsides

Increased AI adoption in healthcare boosts Tempus' partnerships and collaborations.

Acquisition of Ambry Genetics expands Tempus' genetic testing capabilities.

Integration with Flatiron's OncoEMR enhances precision in cancer treatment plans.

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