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Physics Based Machine Learning Jobs in Delaware (NOW HIRING)

Berkley

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn * Multiple years working with structured and unstructured data within a cloud-based data ...

Berkley

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn * Multiple years working with structured and unstructured data within a cloud-based data ...

Berkley

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn * Multiple years working with structured and unstructured data within a cloud-based data ...

Diverse Lynx

AI/ML Software Engineer

Wilmington, DE · On-site

Required : • 6+ years of experience in AI/ML Engineering, Machine Learning, and Software ... based application support environments • Understanding of ITIL best practices and service ...

Athenago

AI Engineering Intern

Wilmington, DE

... based on user feedback. Qualifications * Currently pursuing (or recently completed) a degree in Computer Science, Stats, or related field, with coursework in machine learning or artificial ...

Athena LLC

... based on user feedback. Qualifications * Currently pursuing (or recently completed) a degree in Computer Science, Stats, or related field, with coursework in machine learning or artificial ...

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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 Delaware? For Physics Based Machine Learning jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Physics Based Machine Learning jobs in Delaware look for? The top searched job categories for Physics Based Machine Learning jobs in Delaware are:
What cities in Delaware are hiring for Physics Based Machine Learning jobs? Cities in Delaware with the most Physics Based Machine Learning job openings:
Physics Based Machine Learning jobs near you
CCB Risk [Multiple Positions Available]

CCB Risk [Multiple Positions Available]

JPMorgan Chase & Co

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 18 hours ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

47th of 142 rated banks

Job description

DESCRIPTION:

Duties: Develop artificial intelligence and machine learning (AI/ML)-based solutions that drive key credit decisions in the risk management process. Work on strategic, highly visible machine learning projects and interact with business strategy, model governance, data management, and model implementation teams to drive business results. Apply analytical, data science, and machine learning skills to solve complex business problems. Work across teams to design, develop, and implement analytical models. Responsible for these models throughout the model's life cycle, including data cleanup, data analysis, model selection, ongoing performance monitoring, issue resolution, and model retirement. Monitor and validate existing models to support risk strategy and business functions. Liaise with business partners to ensure alignment of the modeling team's Book of Work with the strategic direction of the business. Contribute to the asks and requirements stemming from various regulatory exams. Prepare presentations and reports for both non-technical and technical audiences including senior management, risk strategy and MRGR.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Statistics, Computer Science, Mathematics, Engineering or related field of study plus 3 years of experience in the job offered or as CCB Risk, Risk Strategy Analytics Analyst, Information Scientist, or related occupation. The employer will alternatively accept a PhD in Statistics, Computer Science, Mathematics, Engineering or related field of study plus 1 year of experience in the job offered or as CCB Risk, Risk Strategy Analytics Analyst, Information Scientist, or related occupation.

Skills Required: This position requires one (1) year of experience with the following: Credit risk management in the financial industry; Performing machine learning quantitative analytics using Python and SAS; Working with credit risk data using Snowflake, Oracle, SQL, Teradata, and Hive. This position requires any amount of experience with the following: Conducting credit risk analysis and working on entire account life cycle including acquisition, portfolio management, and collection; Performing business and personal financial statement analysis; Applying language models including GPT-4 and Claude and prompt engineering techniques including designing effective prompts, few-shot learning, chain-of-thought prompting, and retrieval-augmented generation to automate and enhance various business processes; Using analytical and modeling methods including decision tree, random forest, logistic regression, multivariate regression, gradient boosting machine, multinomial regression, multivariate analysis, discriminant analysis, principal component analysis and factor analysis, and clustering analysis; Using distributed computing techniques to process data sets with data containers, multithreading, and multiprocessing in PySpark and Scala; Designing and developing interactive Excel and PowerPoint reports with advanced functionalities, including Pivots, VLOOKUP, VBA macros, index match, and data analysis add-ons; Using Data science libraries including Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, Matplotlib and seaborn, and software engineering fundamentals including version control using GitHub or Bitbucket; Defining a risk target and features; Identifying a quantitative relationship embedded in data; Managing and analyzing quantitative data, including data extraction, cleaning, transformation, and visualization; Performing data manipulation, structuring, design flow, and query optimization using programming languages including SQL and Python.  

Job Location: 301 N Walnut St, Wilmington, DE 19801.

Full-Time. 
 

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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