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Physics Informed Machine Learning Jobs in New Jersey

Deloitte

AI Solutions Architect

Morristown, NJ

$64.75 - $85.50/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... or Physics, or equivalent experience * 8+ years of experience in product sales, software ...

Nestle

Senior Data Scientist

Bridgewater, NJ

D. in Computer Science, Data Science, Mathematics, Physics, Operations Research, Statistics, or a related field. * 5+ years of experience as a Data Scientist, Machine Learning Engineer, or Applied ...

JSR Tech Consulting

Data Scientist

Newark, NJ · On-site

D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial ... Expertise in the application of machine learning theory to building, training, testing ...

Prophecy Technologies

Data Scientist

Jersey City, NJ · On-site

... Informed Decision-Making For Customers And Stakeholders. Skill Requirements 1. - Strong Knowledge Of Machine Learning Principles And Algorithms Using Tensorflow And Pytorch. 2. - Proficient In ...

Thea Energy

Burning Plasma Scientist

Kearny, NJ

$135K - $210K/yr

... our Physics team, focusing on modeling energetic particle confinement and transport. In this role, you will run high-fidelity simulations and pioneer the use of Machine Learning surrogates to ...

Thea Energy

Burning Plasma Scientist

Kearny, NJ · On-site

$135K - $210K/yr

... our Physics team, focusing on modeling energetic particle confinement and transport. In this role, you will run high-fidelity simulations and pioneer the use of Machine Learning surrogates to ...

PDI (NY)

Senior R&D Data Scientist

Woodcliff Lake, NJ

... machine learning capabilities across the R&D lifecycle. WHY YOU'LL LOVE THIS ROLE * Opportunity to ... Faster and more informed scientific decision-making * Reduction in redundant experimentation and ...

PDI

Senior R&D Data Scientist

Woodcliff Lake, NJ · On-site

... machine learning capabilities across the R&D lifecycle. WHY YOU'LL LOVE THIS ROLE * Opportunity to ... Faster and more informed scientific decision-making * Reduction in redundant experimentation and ...

JPMorganChase

Applied AI ML Director

Jersey City, NJ · On-site

... informed decisions on technology advancements. • Influence across business, product, and ... Machine Learning, or a related field. • Formal training or certification in machine learning ...

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Physics Informed Machine Learning information

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 are popular job titles related to Physics Informed Machine Learning jobs in New Jersey? For Physics Informed Machine Learning jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in New Jersey look for? The top searched job categories for Physics Informed Machine Learning jobs in New Jersey are:
What cities in New Jersey are hiring for Physics Informed Machine Learning jobs? Cities in New Jersey with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you
Applied Artificial Intelligence Machine Learning, Vice President

Applied Artificial Intelligence Machine Learning, Vice President

JP Morgan Chase

Jersey City, NJ • On-site

Full-time

Medical, Retirement

Posted 4 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

As a Vice President Applied AI/ML in our dynamic team of innovators and technologists, you will revolutionize how the Bank services and advises clients, deepen client engagements, and promote process transformation. You will analyze and lead existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives on experimentation, continuous improvement, and learning. You will work in a collaborative, trusting, and intellectually stimulating environment-one that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele.
Job Responsibilities

  • Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes.
  • Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions that address client needs and drive transformation.
  • Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across investment functions, client services, and operational process.
  • Collect and curate datasets for model training and evaluation.
  • Perform experiments using different model architectures and hyperparameters, determine appropriate objective functions and evaluation metrics, and run statistical analysis of results.
  • Monitor and improve model performance through feedback and active learning.
  • Collaborate with technology teams to deploy and scale the developed models in production.
  • Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders.
  • Stay up-to-date with the latest research in LLM, ML and data science. Identify and leverage emerging techniques to drive ongoing enhancement.
     

Required qualifications, capabilities, and skills

  • Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry.
  • Minimum of 6 years of experience in applying NLP, LLM and ML techniques in solving high-impact business problems, such as semantic search, information extraction, question answering, summarization, personalization, classification or forecasting.
  • Advanced python programming skills with experience writing production quality code
  • Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, gradient descent etc.
  • Hands-on experience with deep learning toolkits such as PyTorch, Transformers, HuggingFace.
  • Strong knowledge of language models, prompt engineering, model finetuning, and domain adaptation.
  • Familiarity with latest development in deep learning frameworks. 
  • Ability to communicate complex concepts and results to both technical and business audiences.

Preferred qualifications, capabilities, and skills

  • Prior experience of developing solutions for Financial domain
  • Exposure to distributed model training, and deployment
  • Familiarity with techniques for model explainability and self-validation
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

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

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