NVIDIA

4 weeks ago

Senior Applied AI Researcher, Digital Biology

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 minutes agoStatus: Live

Job Summary

Applied AI researcher focusing on deep learning for biological data, developing large-scale models (LLMs, Transformers, SSMs) and multimodal systems that integrate clinical time-series, imaging, genomics, and text. Work on foundational/generative models, agentic AI, and digital twins for healthcare within an interdisciplinary NVIDIA team advancing diagnostics and scientific discovery.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Sr. Manager level

Key Responsibilities

•Conceptualize, build, and implement novel deep learning architectures for biological data, focusing on large-scale models like LLMs, Transformers, and SSMs.
•Develop multimodal learning systems that integrate heterogeneous data types (clinical time-series, imaging, genomics, text) for improved representation and prediction.
•Develop foundational and generative models along with agentic AI systems, encompassing multi-step reasoning, tool use, and autonomous decision-making abilities.
•Develop digital twin systems for healthcare by integrating mechanistic models, physiological data, and AI to simulate disease progression, treatment response, and patient-specific trajectories.
•Implement deep learning systems coordinated with agents, enabling end-to-end workflows that combine learning, planning, and execution.

Pay and Benefits

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•8+ years of hands-on experience in developing, training, and deploying deep learning models at scale, including LLMs, Transformers, SSMs, and/or generative models; demonstrated ability to turn concepts into practical, scalable systems.
•Advanced Degree (MS or PhD) in Machine Learning, Computer Science, Engineering, or a related field (or equivalent experience).
•Solid programming abilities in Python and C++, accompanied by experience in PyTorch and/or CUDA.
•Experience with multimodal learning and integrating diverse data modalities is highly valued.
•Demonstrated capability to conduct independent research, develop effective solutions, and thoroughly assess outcomes.

Experience:8+ yearsBiomedical AIMultimodal learningHealthcare

Education:PhD / Doctorate

Skills:PythonC++PyTorchCUDATransformersLLMsSSMsMultimodal learningDigital twinHealthcare IA

Tech Stack:PythonC++PyTorchCUDALLMsTransformersSSMs

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

4 weeks ago

Senior Applied AI Researcher, Digital Biology

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 minutes agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Sr. Manager level

Key Responsibilities

•Conceptualize, build, and implement novel deep learning architectures for biological data, focusing on large-scale models like LLMs, Transformers, and SSMs.
•Develop multimodal learning systems that integrate heterogeneous data types (clinical time-series, imaging, genomics, text) for improved representation and prediction.
•Develop foundational and generative models along with agentic AI systems, encompassing multi-step reasoning, tool use, and autonomous decision-making abilities.
•Develop digital twin systems for healthcare by integrating mechanistic models, physiological data, and AI to simulate disease progression, treatment response, and patient-specific trajectories.
•Implement deep learning systems coordinated with agents, enabling end-to-end workflows that combine learning, planning, and execution.

Pay and Benefits

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•8+ years of hands-on experience in developing, training, and deploying deep learning models at scale, including LLMs, Transformers, SSMs, and/or generative models; demonstrated ability to turn concepts into practical, scalable systems.
•Advanced Degree (MS or PhD) in Machine Learning, Computer Science, Engineering, or a related field (or equivalent experience).
•Solid programming abilities in Python and C++, accompanied by experience in PyTorch and/or CUDA.
•Experience with multimodal learning and integrating diverse data modalities is highly valued.
•Demonstrated capability to conduct independent research, develop effective solutions, and thoroughly assess outcomes.

Experience:8+ yearsBiomedical AIMultimodal learningHealthcare

Education:PhD / Doctorate

Skills:PythonC++PyTorchCUDATransformersLLMsSSMsMultimodal learningDigital twinHealthcare IA

Tech Stack:PythonC++PyTorchCUDALLMsTransformersSSMs

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor