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Americas, United States, Menlo Park

Posted 9 days ago

Applied & Computational Research Scientists

💖 SRI

USD 112K - 149K per year

+2 benefits
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Role Type

🧪 Scientist / Researcher

Role Focus

🛠️ Advance Science

Seniority

🌿 Experienced
🌸 PhD / Postdoc

Employer Type

💖 Non-profit

Visa / Relocation Details

Must have U.S. Citizenship or Permanent Residency.

This role involves conducting applied research and development focused on computational sciences, including the mathematics of generative AI models, reinforcement learning, and algorithm design. The scientist will join a new team responsible for developing novel algorithms for a wide range of applications such as supply chain networks, social graphs, and quantum algorithms. A key goal is to publish research findings at top venues and assist in commercializing relevant technology through patents and new ventures.

Key Responsibilities

Develop original research ideas and lead the experimental evaluation of those ideas.

Develop and implement new algorithms, benchmarking their performance against current state-of-the-art approaches.

Document research findings by writing technical reports and publishing research papers.

Write funding proposals and propose ideas against existing funding opportunities.

Present research work to government and commercial clients and collaborate with external project Principal Investigators and their staff.

Required Skills

Ph.D. in Applied Mathematics, Physics, Engineering (with a focus on computational sciences), or Computer Science.

Demonstrated research publication record.

Expertise in algorithm development related to artificial intelligence, algorithm design, and scalable computational methods.

Demonstrated experience implementing novel algorithms using programming languages such as Python or C/C++.

Excellent written, oral, and interpersonal communication skills.

Nice-to-have Skills

Knowledge of the mathematics of generative AI models.

Knowledge of reinforcement learning.

Technology Tags

Quantum algorithms

The team is explicitly tasked with developing new quantum algorithms.

ML approaches

The research focuses on generative AI models and reinforcement learning.

Classical programming

Candidates must implement novel algorithms in programming languages such as Python and C/C++.

High-Performance Computing

Expertise in scalable computational methods and their implementation is a requirement.

Quantum ML

The role involves the intersection of generative AI optimization and quantum algorithms.

Supply-chain

The developed algorithms are targeted at applications including supply chain networks.

Materials science

The job description lists applications related to material failures.

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