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Physics Based Machine Learning Jobs in Hawaii (NOW HIRING)

... Machine Learning, Information Systems, Operations Research, Physics, Computational Biology, etc ... At Cymertek, employment decisions are made based on merit, qualifications, and business needs ...

Data Scientist 2

Honolulu, HI · On-site

$125K - $155K/yr

... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Data Scientist 2

Honolulu, HI · On-site

$125K - $155K/yr

... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Data Scientist L2

Wahiawa, HI · On-site

$114K - $127K/yr

... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

... based deployment environments, GPU-enabled infrastructure, model serving systems, CI/CD pipelines, and secure production operations to enable rapid and reliable delivery of machine learning ...

... based deployment environments, GPU-enabled infrastructure, model serving systems, CI/CD pipelines, and secure production operations to enable rapid and reliable delivery of machine learning ...

... based deployment environments, GPU-enabled infrastructure, model serving systems, CI/CD pipelines, and secure production operations to enable rapid and reliable delivery of machine learning ...

Senior AI/ML Engineer

Honolulu, HI · Remote

$90 - $100/hr

... and machine learning engineering. * Hands-on experience with LLM orchestration, integration, and vLLM-based inference for document understanding. * Experience with multi-agent AI systems, RAG ...

SIMILAR CAREER TITLESData Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence ... Physics, Operations Research, Information Technology, etc.ALTERNATE EXPERIENCEGeneral comment on ...

Develop and train machine learning models to solve problems such as prediction, classification, and ... Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors ...

... and machine learning. In this role, you will design, develop, and deploy intelligent systems that ... Expertise in supervised and unsupervised learning * Familiarity with cloud-based AI tools * Skill ...

Autonomy Engineer, Senior

Honolulu, HI · On-site

$103K - $141K/yr

Responsibilities : • Design and train machine learning models for perception, object detection ... based training pipelines for autonomy validation. • Deploy containerized AI models to airborne ...

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Physics Based Machine Learning information

What types of projects or problems does a Physics Based Machine Learning professional typically work on?

Physics Based Machine Learning professionals often work on projects that involve applying machine learning techniques to physical systems, such as improving simulations in engineering, optimizing energy systems, or accelerating scientific research through data-driven modeling. Daily tasks might include developing algorithms that incorporate physical laws, analyzing simulation data, and collaborating with experts from engineering, data science, or research teams. The role can involve both theoretical and hands-on work, often requiring iterative testing and validation. This environment provides opportunities to tackle cutting-edge challenges, contribute to innovation, and potentially lead to career paths in research, product development, or advanced analytics.

What is a Physics Based Machine Learning job?

A Physics Based Machine Learning job involves developing machine learning models that incorporate physical laws and domain knowledge to improve predictions and interpretability. Professionals in this field work at the intersection of physics, data science, and artificial intelligence to create models that are more robust, generalizable, and efficient, especially in scientific and engineering applications. Responsibilities often include data analysis, algorithm development, numerical simulations, and integrating physics-based constraints into ML models. These roles are common in industries like climate science, robotics, materials science, and computational physics.

What are the key skills and qualifications needed to thrive in the Physics Based Machine Learning position, and why are they important?

To thrive in Physics Based Machine Learning, you need advanced knowledge of physics, strong programming skills (Python, MATLAB, or C++), and a deep understanding of machine learning and statistical modeling, typically supported by a master's or PhD in physics, engineering, or a related field. Familiarity with simulation software, scientific computing libraries (such as TensorFlow, PyTorch, NumPy), and version control systems is essential. Strong problem-solving ability, effective communication, and cross-disciplinary collaboration skills set outstanding candidates apart. These competencies are crucial for designing robust, real-world models that integrate physical principles with data-driven techniques to solve complex problems.

What are popular job titles related to Physics Based Machine Learning jobs in Hawaii? For Physics Based Machine Learning jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Physics Based Machine Learning jobs in Hawaii look for? The top searched job categories for Physics Based Machine Learning jobs in Hawaii are:
What cities in Hawaii are hiring for Physics Based Machine Learning jobs? Cities in Hawaii with the most Physics Based Machine Learning job openings:
Data Scientist 2 with Security Clearance

Data Scientist 2 with Security Clearance

Tailored Access, LLC

Honolulu, HI

Other

Posted 15 days ago


Job description

What You'll be Owning: * We are actively searching for Data Scientists, located in Hawaii, to support our team. We have varying levels of Data Scientist roles, depending on years of experience and education. * Performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms as well as algorithm refinements, and supports data visualization and analytics.

What You Must Have : * Bachelor's Degree with 3 years of relevant experience OR Associates degree with 5 years of relevant experience * Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g.

algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirements, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

* Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred * Active TS/SCI w/poly What Would Be Nice to Have: * Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility) * Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) * Devise strategies for extracting meaning and value from large datasets.

Make and communicate principled conclusions from data using elements of mathematics, * Statistics, computer science, and application specific knowledge. * Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in data holdings. * Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.

Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting, processing, storage and analytic capabilities and limitations.