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Physics Based Machine Learning Jobs in Honolulu, HI

What you will do * Build, test, and deploy machine learning and statistical models (e.g ... Bachelor's degree in quantitative field (Statistics, Applied Mathematics, or Physics; Electrical ...

Data Scientist

Honolulu, HI · On-site

$110 - $150/hr

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

SIMILAR CAREER TITLES Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist ... Familiarity with cloud-based AI tools * Skill in debugging and testing AI models DESIRED SKILLS

AI/ML Engineer

Honolulu, HI · On-site

$120 - $160/hr

SIMILAR CAREER TITLES Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist ... Expertise in supervised and unsupervised learningFamiliarity with cloud-based AI tools * Skill in ...

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

Analytic Cloud Developer

Honolulu, HI · On-site

$110 - $170/hr

Integrate cloud-based tools * Ensure cloud security compliance * Optimize data processing pipelines ... Experience with machine learning * Understanding of big data frameworks * Strong collaboration and ...

Analytic Cloud Developer

Honolulu, HI · On-site

$55.50 - $76/hr

Integrate cloud-based tools * Ensure cloud security compliance * Optimize data processing pipelines ... Experience with machine learning * Understanding of big data frameworks * Strong collaboration and ...

Requires strong technical and computational skills - engineering, physics, mathematics, coupled ... Experience with machine learning, algorithm analysis, and data clustering. Peraton Overview Peraton ...

Requires strong technical and computational skills - engineering, physics, mathematics, coupled ... Experience with machine learning, algorithm analysis, and data clustering. Peraton Overview Peraton ...

Requires strong technical and computational skills - engineering, physics, mathematics, coupled ... Experience with machine learning, algorithm analysis, and data clustering. Peraton Overview Peraton ...

Data Scientist

Aiea, HI · On-site

$141K - $236K/yr

In this role you will support cutting-edge analytics, machine learning, and data engineering ... Working knowledge of Agile development methodologies and Git-based version control Clearance ...

Analytic Cloud Developer

Honolulu, HI · On-site

$55.50 - $76/hr

In this role, you will design, develop, and implement cloud-based analytic solutions, leveraging ... with machine learning • Understanding of big data frameworks • Strong collaboration and ...

Data Scientist

Aiea, HI · On-site

$141K - $236K/yr

In this role you will support cutting-edge analytics, machine learning, and data engineering ... Working knowledge of Agile development methodologies and Git-based version control Clearance ...

Showing results 21-40

Physics Based Machine Learning information

See Honolulu, HI salary details

$5

$19

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How much do physics based machine learning jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for physics based machine learning in Honolulu, HI is $19.81, according to ZipRecruiter salary data. Most workers in this role earn between $12.36 and $25.14 per hour, depending on experience, location, and employer.

What is a physics based machine learning?

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 does a physics based machine learning professional do?

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 are the key skills and qualifications needed to thrive in physics based machine learning?

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 Honolulu, HI?

For Physics Based Machine Learning jobs in Honolulu, HI, the most frequently searched job titles are:

What job categories do people searching Physics Based Machine Learning jobs in Honolulu, HI look for?

The top searched job categories for Physics Based Machine Learning jobs in Honolulu, HI are:

Data Scientist - Journeyman

Bigbear.ai

Honolulu, HI • On-site

$140 - $210/hr

Other

Posted 4 days ago


Job description

Residency

All applicants must currently reside in the United States

Overview

BigBear.ai is seeking a Journeyman Data Scientist to support a Department of the Army enterprise data team by delivering advanced analytics, predictive modeling, and secure AI/ML integration. In this role, you will apply rigorous statistical methods and modern machine learning (including NLP and Generative AI) to forecast operational trends, inform executive decisions, and develop high-fidelity models, dashboards, and cognitive agents across multiple classification enclaves.

You will collaborate closely with Data Architects and Data Engineers to build on standardized, governed data pipelines and help maintain trusted “single source of truth” repositories in accordance with strict security and classification protocols.

What you will do
  • Build, test, and deploy machine learning and statistical models (e.g., forecasting, classification, regression) to answer mission‑critical questions and improve decision‑making
  • Conduct exploratory data analysis (EDA) to identify trends, anomalies, data quality issues, and operational drivers across complex, multi‑source datasets
  • Develop and operationalize features and model pipelines in partnership with data engineers, ensuring solutions are scalable, maintainable, and reproducible in secure environments
  • Apply NLP and modern AI techniques (including governed LLM/GenAI patterns where approved) to extract insight from unstructured text, reports, and messaging data
  • Create clear, executive‑ready analytic products (dashboards, visualizations, and briefings) that translate technical results into actionable recommendations
  • Work across multiple classification enclaves while complying with all security, handling, and documentation requirements
  • Collaborate with stakeholders to refine problem statements, define measures of success, and validate that analytic outputs align to operational needs
  • Monitor and improve model performance over time, including drift detection, recalibration, and documentation of assumptions and limitations
What you need to have
  • Must maintain an active DoD TS/SCI security clearance
  • 5+ years of experience in applied statistics, predictive modeling, ML, or quantitative research
  • Bachelor’s degree in quantitative field (Statistics, Applied Mathematics, or Physics; Electrical, Systems, Industrial, or Computer Engineering; Computer Science (with strong mathematics focus); Operations Research or Econometrics)
  • Demonstrated experience and proficiency working in Python, R, and SQL for analysis/modeling/EDA
  • Demonstrated knowledge and application of forecasting, regression, and modern ML frameworks (scikit‑learn, TensorFlow, PyTorch)
  • Experience working with LLMs/Generative AI within secure, governed enterprise boundaries
  • Experience with creating executive‑level data storytelling via visualizations/dashboards
What we'd like you to have
  • Experience working within enterprise big data platforms, especially Palantir Foundry (Contour, Workshop, Quiver); or Databricks, Snowflake
  • Familiarity with the Defense/Intelligence sector, including Headquarters operations and intelligence data structures/sources
  • Experience in data cataloging/master data management and metadata practices as prerequisites for AI/ML deployment
  • Master’s degree in quantitative field (Statistics, Data Science, Operations Research, OR Applied Mathematics, or related)
Pay transparency

Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant’s skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.

About BigBear.ai

BigBear.ai is a leading provider of AI‑powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission‑based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.

BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

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