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Physics Informed Machine Learning Jobs in Rock Hill, SC

... machine learning, and cross-team collaboration. Responsibilities : • Frame abstract business ... science, math, statistics, and physics • Minimum 3 years of experience with translating ...

Bachelor's degree in a quantitative field such as: computer science, math, and physics * You have 3 ... Artificial Intelligence/Machine Learning * Business Analytics * Data Visualization * Presentation ...

... physics * Minimum 3 years of experience with translating mathematical models and algorithms into code (Python and/or C++) * Strong foundation in probability, statistics, and applied machine learning ...

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

Experience with machine learning, generative AI, large language models (LLMs), agentic AI, prompt ... Keeps others informed and up to date about the status/progress of projects and/or all relevant or ...

AI & Data Analytics Architect

Charlotte, NC

$62.25 - $80/hr

Azure Machine Learning, Microsoft Fabric, Power BI, Oracle Fusion Analytics, Microsoft Purview ... Proactivelystay informed on new technologies and practices related to AI and dataanalytics.

AI & Data Analytics Architect

Charlotte, NC · On-site

$62.25 - $80/hr

Azure Machine Learning, Microsoft Fabric, Power BI, Oracle Fusion Analytics, Microsoft Purview ... informed on new technologies and practices related to AI and dataanalytics. • Abilityto quickly ...

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

As of Jul 28, 2026, the average hourly pay for physics informed machine learning in Rock Hill, SC is $16.66, according to ZipRecruiter salary data. Most workers in this role earn between $10.38 and $21.15 per hour, depending on experience, location, and employer.

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

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What is a Physics Informed Machine Learning job?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What job categories do people searching Physics Informed Machine Learning jobs in Rock Hill, SC look for? The top searched job categories for Physics Informed Machine Learning jobs in Rock Hill, SC are:
What cities near Rock Hill, SC are hiring for Physics Informed Machine Learning jobs? Cities near Rock Hill, SC with the most Physics Informed Machine Learning job openings:
Data Scientist I

Data Scientist I

Bank of America

Charlotte, NC • On-site

Full-time

Posted 24 days ago


Bank Of America rating

8.2

Company rating: 8.2 out of 10

Based on 521 frontline employees who took The Breakroom Quiz

51st of 170 rated banks


Job description

Job Summary:
Bank of America is committed to helping make financial lives better through every connection. The Data Scientist I role within the Global Payment Solutions team focuses on translating complex data concepts into actionable insights, requiring skills in statistical modeling, machine learning, and cross-team collaboration.
Responsibilities:
• Frame abstract business problems using advanced data science and machine learning algorithms
• Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions
• Own critical research and application development, strengthening the firm's competitive advantage
• Shape cross-team collaboration to advance the firm's data science capabilities
Qualifications:
Required:
• Minimum Bachelor’s degree in a quantitative field such as computer science, math, statistics, and physics
• Minimum 3 years of experience with translating mathematical models and algorithms into code (Python and/or C++)
• Strong foundation in probability, statistics, and applied machine learning (NLP, time-series analysis, Generative AI)
• Prior experience working in a highly technical data driven research environment
• Ability to communicate complex topics in a concise and coherent manner
Preferred:
• Graduate level degree in a quantitative field such as, computer science, math, statistics, and physics
• Demonstrated prior experience through work, research or passion projects in RAG, Agentic Frameworks, LLMs, Reinforcement Learning
• Are energized by the high stakes and intensity of dynamic environments and ready to dive in whenever
• Are excited to dive into new technical areas on a regular basis
Company:
Bank of America is a financial institution that offers credit cards, home loans, and auto loan services. Founded in 1998, the company is headquartered in Charlotte, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Bank Of America

Sourced by ZipRecruiter

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1998

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