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Applied Scientist II, Nimbus Data Systems AWS Agentic AI
Nimbus Data Systems · Santa Clara · Indexed today
About the role
Conduct AI/ML research and develop agentic systems for AWS fundamental research.
– PhD, or Master s degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience using Unix/Linux- Experience in professional software developmentAma
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Responsibilities
- ▸Conduct research in AI fundamental areas
- ▸Develop software in Java, C++, Python
- ▸Optimize algorithms and data structures
Must-have skills
- ▸phd or master's degree
- ▸java
- ▸c++
- ▸python
- ▸algorithms
- ▸data structures
- ▸unix/linux
Nice-to-have skills
- ▸parsing
- ▸numerical optimization
- ▸data mining
- ▸parallel computing
- ▸distributed computing
- ▸high-performance computing
FAQ
Is the Applied Scientist II, Nimbus Data Systems AWS Agentic AI role at Nimbus Data Systems remote?+
This Applied Scientist II, Nimbus Data Systems AWS Agentic AI position is listed as onsite (Santa Clara).
What is the salary for the Applied Scientist II, Nimbus Data Systems AWS Agentic AI role at Nimbus Data Systems?+
The listing states 172000-222000 USD.
What seniority level is this Applied Scientist II, Nimbus Data Systems AWS Agentic AI role?+
This is a senior level position.
What skills does the Applied Scientist II, Nimbus Data Systems AWS Agentic AI role require?+
Key requirements include phd or master's degree, java, c++, python, algorithms, data structures, unix/linux.
How do I apply for the Applied Scientist II, Nimbus Data Systems AWS Agentic AI role at Nimbus Data Systems?+
Use the "Apply on echojobs" button to open the original posting on echojobs, where you can submit your application directly to Nimbus Data Systems.