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Physics Based Machine Learning Jobs in New York (NOW HIRING)

Machine Learning Engineer

Manhattan, NY · On-site

$209 - $250.30/hr

Kensho Technologies LLC seeks a Machine Learning Engineer who will identify, research, prototype, and build predictive data-driven products based on statistical analysis and machine learning.

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

Machine Learning Engineer Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted ... Final base salary for this role will be based on the individual's geographic location, as well as ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Machine Learning Tutor

Yonkers, NY · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Machine Learning Tutor

Hoboken, NJ · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Machine Learning Tutor

Summit, NJ · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Machine Learning Tutor

Paramus, NJ · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Machine Learning Tutor

Norwalk, CT · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Machine Learning Tutor

Clifton, NJ · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Showing results 41-60

Physics Based Machine Learning information

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 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 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 New York? For Physics Based Machine Learning jobs in New York, the most frequently searched job titles are:
What job categories do people searching Physics Based Machine Learning jobs in New York look for? The top searched job categories for Physics Based Machine Learning jobs in New York are:
What cities in New York are hiring for Physics Based Machine Learning jobs? Cities in New York with the most Physics Based Machine Learning job openings:
Infographic showing various Physics Based Machine Learning job openings in New York as of August 2026, with employment types broken down into 79% Full Time, 7% Part Time, 7% Temporary, and 7% Contract. Highlights an 100% In-person job distribution.

Machine Learning Engineer

S&P Global, Inc.

Manhattan, NY • On-site

$209 - $250.30/hr

Other

Medical, Retirement

Posted 4 days ago


S&P Global rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

About the Role

Grade Level (for internal use): 11


Company Name: Kensho Technologies LLC


Job Title: Machine Learning Engineer


Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted within normal commuting distance of New York, NY office)


Job Duties

  • Kensho Technologies LLC seeks a Machine Learning Engineer who will identify, research, prototype, and build predictive data-driven products based on statistical analysis and machine learning.

  • Conduct original research and data analysis on large proprietary and open-source data sets to identify interesting patterns, associations, correlations, outliers, and anomalies.

  • Formulate and test hypotheses about the distributions and regularities underlying the data.

  • Design, implement, and evaluate statistical and machine learning models for explaining and predicting patterns in vast amounts of financial data, including financial documents.

  • Write production code implementing predictive models and algorithms.

  • Write tests to ensure the robustness and reliability of productionized models.

  • Conduct peer review of research, prototypes, models, and code.

  • Remain current in the theory and application of statistical and machine learning techniques.

  • Maintain and acquire expertise with tools and packages for numerical and statistical programming, data analysis, and machine learning modeling.


Job Requirements

  • Master’s degree in Computer Science, Statistics, Data Science, or related quantitative field plus one (1) year of experience in data science or a related quantitative occupation.

  • One (1) year of experience must include: Machine Learning (ML) and artificial intelligence (Al) tools Data Preprocessing, Exploration and Visualization tools, including Jupyter, Matplotlib, Pandas, Scikit-learn; Data Management and Storage tools; Deployment and Machine Learning operations; Conducting and publishing Machine Learning research and producing code; Agentic systems, including Large Language Model (LLM) code generation and tool utilization.


The anticipated base salary range for this position is $209,000 to $250,300. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses & certifications. In addition to base compensation, this role is eligible for an annual incentive plan. Kensho Technologies LLC is part of S&P Global and this role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please see: https://spgbenefits.com/benefit-summaries/us.


THIS NOTICE IS BEING POSTED AS THE RESULT OF THE FILING OF AN APPLICATION FOR PERMANENT ALIEN LABOR CERTIFICATION.


ANY PERSON MAY PROVIDE DOCUMENTARY EVIDENCE BEARING ON THE APPLICATION TO THE CERTIFYING OFFICER OF THE U.S. DEPARTMENT OF LABOR AT: Certifying Officer U.S. Department of Labor Employment and Training Administration Office of Foreign Labor Certification 200 Constitution Avenue, NW Room N-5311 Washington, DC 20210


About S&P Global Dow Jones Indices

At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We’re the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500® and the Dow Jones Industrial Average®. More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies. S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit www.spglobal.com/spdji.


What’s In It For You?

Our Mission: Advancing Essential Intelligence.


Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.


Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.


Benefits

  • Health & Wellness: Health care coverage designed for the mind and body.

  • Flexible Downtime: Generous time off helps keep you energized for your time on.

  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

  • Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

  • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.


For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries


Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.


Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:EEO.Compliance@spglobal.comand your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdfdescribes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf


20 - Professional (EEO-2 Job Categories-United States of America), RESECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)

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