ZipRecruiter

Log In

1

Physics Based Machine Learning Jobs in Souderton, PA

Varsity Tutors

Machine Learning Tutor

Allentown, PA · 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 ...

BE Group

Senior Machine Learning Engineer

Malvern, PA

$120K - $158K/yr

Their cloud-based platform helps financial institutions improve collections performance, deliver a ... If you enjoy owning the entire machine learning lifecycle--from feature engineering and model ...

Vanguard

Machine Learning Engineer, Specialist

Malvern, PA

$112K - $134K/yr

The ideal candidate will possess a robust background in traditional machine learning, applied GenAI, and significant experience with large datasets and AWS cloud-based AI/ML services. Supports and ...

Berkadia

Product Manager - AI

Ambler, PA · Hybrid

Experience as a Product Manager for AI-enabled, generative AI, LLM-based, machine-learning, or agentic products. * Working knowledge of generative AI application patterns and secure enterprise ...

Berkadia

Product Manager - AI

Ambler, PA · On-site

Experience as a Product Manager for AI-enabled, generative AI, LLM-based, machine-learning, or agentic products. * Working knowledge of generative AI application patterns and secure enterprise ...

next page

Showing results 1-20

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

Physics Based Machine Learning information

See Souderton, PA salary details

$5

$20

$25

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

As of Aug 26, 2026, the average hourly pay for physics based machine learning in Souderton, 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 Souderton, PA?

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

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

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

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

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

Physics Based Machine Learning jobs near you
Infographic showing various Physics Based Machine Learning job openings in Souderton, PA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, and 6% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $42,116 per year, or $20.2 per hour.

Machine Learning Internship - PhD: 2027

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time, Internship

Re-posted 20 days ago

Job description

Overview
Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and markets.
As a Machine Learning Intern at Susquehanna, you'll work on high-impact projects that closely reflect the challenges and workflows of our full-time research team. You'll apply your technical expertise in machine learning and data science to real-world financial problems, while developing a deep understanding of how machine learning integrates into Susquehanna's research and trading systems. You will leverage vast and diverse datasets and apply cutting-edge machine learning at scale to drive data-informed decisions in predictive modeling to strategic execution.
What You Can Expect
  • Conduct research and develop ML models to identify patterns in noisy, non-stationary data
  • Work side-by-side with our Machine Learning team on real, impactful problems in quantitative trading and finance, bridging the gap between cutting-edge ML research and practical implementation
  • Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
  • Design and run experiments using the latest ML tools and frameworks
  • One-on-one mentorship from experienced researchers and technologists
  • Participate in a comprehensive education program with deep dives into Susquehanna's ML, quant, and trading practices
  • Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
  • Explore various aspects of machine learning in quantitative finance from alpha generation and signal processing to model deployment and risk-aware decision making

What we're looking for
  • Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Physics, Applied Mathematics, or a closely related field
  • Proven experience applying machine learning techniques in a professional or academic setting
  • Strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
  • Hands-on experience with machine learning frameworks, including PyTorch and TensorFlow
  • Deep interest in solving complex problems and a drive to innovate in a fast-paced, competitive environment

Why Join Us?
  • Work with a world-class team of researchers and technologists
  • Access to unparalleled financial data and computing resources
  • Opportunity to make a direct impact on trading performance
  • Collaborative, intellectually stimulating environment with global reach

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.

Apply