ZipRecruiter

Log In

1

Physics Based Machine Learning Jobs in Philadelphia, PA

Varsity Tutors

IB Physics Tutor

Trenton, NJ · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... based explanations. Emphasizes connecting physics to real-world applications and develops skills ...

Varsity Tutors

College Physics Tutor

Trenton, NJ · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Familiar with introductory college physics curricula for both algebra-based and calculus-based ...

Varsity Tutors

IB Physics Tutor

Chester, PA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... based explanations. Emphasizes connecting physics to real-world applications and develops skills ...

Varsity Tutors

College Physics Tutor

Chester, PA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Familiar with introductory college physics curricula for both algebra-based and calculus-based ...

Varsity Tutors

AP Physics 1 Tutor

Chester, PA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... AP Physics 1 algebra-based examination. * Conceptual Teaching & Problem-Solving: Skilled at ...

Varsity Tutors

AP Physics 1 Tutor

Trenton, NJ · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... AP Physics 1 algebra-based examination. * Conceptual Teaching & Problem-Solving: Skilled at ...

OneMain Financial

VP/MD Analytics

Wilmington, DE · On-site

... Biostatistics, Physics, Computer Science, or related field); PhD preferred * 6+ years of ... Advanced experience in use of open-source machine learning libraries (Python or R) in a cloud-based ...

Posted today

previous page

Showing results 41-60

All JobsPhysics Based Machine Learning JobsPhysics Based Machine Learning Jobs in Philadelphia, PA

Physics Based Machine Learning information

See Philadelphia, PA salary details

$5

$20

$25

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

As of Aug 19, 2026, the average hourly pay for physics based machine learning in Philadelphia, PA is $20.25, according to ZipRecruiter salary data. Most workers in this role earn between $12.60 and $25.72 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 Philadelphia, PA?

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

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

The top searched job categories for Physics Based Machine Learning jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Physics Based Machine Learning jobs?

Cities near Philadelphia, PA with the most Physics Based Machine Learning job openings:

Physics Based Machine Learning jobs near you

Faculty Fellow

Susquehanna International Group, LLP

Philadelphia, PA • On-site

$49K - $67K/yr

Full-time

Re-posted 10 days ago

Job description

Overview
Susquehanna is launching a 12-18 month fully funded faculty fellowship. This is a unique opportunity to pursue advanced machine learning research in a fast-paced, real-world environment - collaborating with teams at the frontier of quantitative trading.
At Susquehanna, our research leverages vast and diverse datasets, applying cutting-edge machine learning at scale to uncover actionable insights - driving data-informed decisions from predictive modeling to strategic execution.
What you'll do
  • Conduct applied machine learning research using large-scale, real-world financial datasets
  • Develop novel modeling techniques and adapt state-of-the-art algorithms to unique challenges in quantitative finance
  • Collaborate with researchers and engineers to translate theoretical insights into production-scale systems
  • Contribute to the design of robust, high-performance ML infrastructure
  • Explore research directions aligned with your interests, with flexibility in scope and duration
  • Evaluate ideas in an industrial setting, generating insights that may inform future academic or applied work
  • Help grow our research community by fostering collaboration and leveraging your network within the ML and academic ecosystems

What we're looking for
  • Exceptional faculty (tenured or tenure-track) with expertise in machine learning, deep learning, LLM, statistics, computer science, physics, applied mathematics, or related fields
  • Exceptional newly minted PhDs or postdocs developing a research agenda in machine learning, deep learning, LLM, statistics, computer science, physics, applied mathematics, or related fields
  • A strong theoretical foundation in ML and a passion for solving practical, open-ended problems
  • Strong programming skills (Python preferred); experience with ML frameworks like PyTorch, TensorFlow or Jax
  • Intellectual curiosity, adaptability, and a collaborative mindset

Note: This fellowship is ideal for faculty seeking to broaden their applied research portfolio, explore new domains, or engage in sabbatical collaborations. The faculty fellowship is also appropriate for exceptional newly minted PhD and postdocs who want to develop a research agenda (involving, but not limited to, modeling, inference, and prediction tasks in complex systems), as they prepare to transition into a faculty position. While research outputs cannot be published due to the proprietary nature of our work, we aim for each faculty fellow to publish technical research papers collaboratively with their research hosts, to showcase some of the machine learning and AI innovations that they developed while in residence at Susquehanna.
About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
#LI-MP1
#LI-Onsite

Apply