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Evolutionary Computing Jobs in California (NOW HIRING)

Cedars Sinai

Research Data Scientist

West Hollywood, CA · On-site

$94.80K - $161K/yr

Must have experience with the following: working with biomedical data in healthcare or pharmaceutical industries; evolutionary computing: genetic algorithm and genetic programming; automated machine ...

Cedars Sinai

Research Data Scientist

West Hollywood, CA

$94.80K - $161K/yr

Must have experience with the following: working with biomedical data in healthcare or pharmaceutical industries; evolutionary computing: genetic algorithm and genetic programming; automated machine ...

Nvidia

Senior AI Compiler Engineer

Santa Clara, CA · On-site

$122.70K - $168.50K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and ...

Nvidia

Senior Compiler Engineer - AI

Santa Clara, CA · On-site

$143.90K - $189.70K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling ...

Profluent

Research Intern, Computational

Emeryville, CA · On-site +1

$1.67K/wk

Our generative models learn the blueprint of life by modeling large-scale evolutionary data ... Strong programming skills in Python and familiarity with scientific computing libraries (e.g ...

MosaixSoft, Inc.

Senior Software Test Engineer

Los Altos, CA · On-site

$130.90K - $169.90K/yr

Company Description Computing is undergoing a monumental transition - to the cloud. This has led ... the evolutionary pace of cloud operations for online businesses the world over. MosaixSoft is ...

MosaixSoft, Inc.

Senior Software Test Engineer

Los Altos, CA · On-site

$130.90K - $169.90K/yr

Company Description Computing is undergoing a monumental transition - to the cloud. This has led ... the evolutionary pace of cloud operations for online businesses the world over. MosaixSoft is ...

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Evolutionary Computing information

What are the key skills and qualifications needed to thrive as an Evolutionary Computing Specialist, and why are they important?

To thrive as an Evolutionary Computing Specialist, you need a solid background in computer science, mathematics, and algorithm design, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python, C++, or Java), machine learning frameworks, and optimization libraries is typically required. Strong analytical thinking, problem-solving abilities, and creativity are crucial soft skills that help in developing innovative solutions. These skills enable specialists to design and implement effective evolutionary algorithms that solve complex computational problems across various domains.

What are some common challenges faced when implementing evolutionary computing algorithms in real-world projects?

One of the main challenges in applying evolutionary computing algorithms is balancing computational cost with solution quality, as these algorithms can be resource-intensive and require careful parameter tuning. Additionally, translating theoretical models into scalable, real-world applications often involves customizing operators and fitness functions to suit specific domains. Collaboration with domain experts is crucial to accurately define objectives and constraints, and ongoing communication with software engineers ensures efficient integration into existing systems.

What is evolutionary computing?

Evolutionary computing is a branch of artificial intelligence that uses algorithms inspired by the process of natural selection to solve complex optimization and search problems. These algorithms, such as genetic algorithms, evolve solutions over time by mimicking biological mechanisms like mutation, crossover, and selection. Evolutionary computing is used in various fields, including engineering, economics, and robotics, to find solutions that might be difficult to obtain through traditional methods. It is especially useful for problems where the search space is vast and not easily navigable by conventional algorithms.

What is the difference between Evolutionary Computing vs Data Scientist?

AspectEvolutionary ComputingData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI or machine learningDegree in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentResearch labs, AI development teams, academiaBusiness environments, tech companies, consulting firms
Industry UsageOptimization problems, evolutionary algorithms researchData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

While both roles involve advanced computing techniques, Evolutionary Computing focuses on algorithms inspired by natural selection for optimization, whereas Data Scientists analyze data to extract insights and build predictive models. They often collaborate but serve different primary functions within tech and research industries.

What are popular job titles related to Evolutionary Computing jobs in California? For Evolutionary Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Evolutionary Computing jobs in California look for? The top searched job categories for Evolutionary Computing jobs in California are:
Evolutionary Computing jobs near you
Research Data Scientist

Research Data Scientist

Cedars Sinai

West Hollywood, CA • On-site

$94.80K - $161K/yr

Full-time

Posted 28 days ago

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

35th of 992 rated hospitals

Job description

Job Description
Research Data Scientist (Cedars-Sinai Medical Center; West Hollywood, CA): Participate in biomedical research projects using programming, data mining, statistics, machine learning, and visualization techniques to lead the development, evaluation, and application of algorithms, methods, and software for data analysis. Lead the development, evaluation, and application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data. Lead with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications. Create database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j). Create sustainable data science infrastructure and adheres to data analysis/machine learning best practices. Perform data cleaning, quality control, exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods. Lead discussions with senior and lead research data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions. Test and validate code to ensure robustness of data applications with version control through GitHub. Telecommuting permitted pursuant to company policy.
Minimum requirements: Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Applied Mathematics, or related field, plus two (2) years of experience as a Research Data Scientist, Associate Programmer Analyst, or related occupation.
Must have experience with the following: working with biomedical data in healthcare or pharmaceutical industries; evolutionary computing: genetic algorithm and genetic programming; automated machine learning analysis methods: the tree-based pipeline optimization tool; working with biomedical knowledge graphs; peer-reviewed publications; and working with both clinical data and genetics data.
Salary: $94,800 - $161,000 per year
To Apply: Any interested applicant may click on the APPLY NOW button above to apply for this position.
Req ID: 16436

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