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Nvidia Research Scientist Embodied Agentic AI - New College Grad United States, California
Research, design and implement novel embodied and agentic AI methods. Publish original research. Collaborate with other team members and teams on mission-driven research. Mentor interns. Speak at conferences and events....
Develop the datasets and models for training and evaluating models and end-to-end systems for Content Safety and ML Fairness. Research and implement cutting-edge techniques for bias detection and mitigation in...
Define and conduct original research across EDA algorithms, VLSI design methodology, and advanced machine learning techniques. Innovate in EDA software and algorithms, with applications spanning supervised, unsupervised, and reinforcement learning,...
Lead applied and collaborative research programs using bioinformatics, high performance computing, and deep learning for biological advancements. Develop and accelerate bioinformatics software and algorithms to garner understanding in biology through...
Conduct collaborative applied research in multiscale biology using deep learning and high-performance computing to identify critical biological challenges and experimental limitations. Work across disciplines with biologists, chemists, and machine learning...
Lead and manage data science projects, ensuring timely delivery and alignment with business goals. Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making. Analyze...
Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate...
Research, design and implement novel embodied and agentic AI methods. Publish original research. Collaborate with other team members and teams on mission-driven research. Mentor interns. Speak at conferences and events....
The analytical scientist role has become increasingly important to the tech industry, as data-driven insights have often become the foundation for innovation and success. An analytical scientist is responsible for collecting and analyzing data to help inform and create decisions within organizations. Working in the tech industry, a qualified analytical scientist should possess a focused understanding of data science and a passion for developing strategies to help improve the accuracy of data-driven initiatives.
At its core, an analytical scientist should be passionate about understanding complex data sets to uncover meaningful relationships and insights. A strong background in mathematics, statistics, and computer science are essential for success in the role, as analytical scientists must be adept at presenting detailed data analytics in an understandable manner.
Analytical scientists must also be creative problem-solvers and have the capacity to think critically in order to make correlations from data sets. Additionally, technical proficiency with programming languages such as Python, SQL, and Java is necessary, as well as knowledge of data visualization tools and machine learning.
Finally, excellent communication skills are important for an analytical scientist, as the job often involves working with business executives and teams. In other words, the successful analytical scientist should possess the necessary technical skills, as well as the ability to converse effectively and influence decision makers.
At Expoint, the quality of an analytical scientist is not only a priority, but is a necessity. We believe the role of an analytical scientist is of utmost importance to the success of a tech organization, and therefore, strive to bring the right analytical scientists on board. We're committed to using our platform to find the perfect fit for analytical scientists who wish to further their career in the tech industry.