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Physics Informed Machine Learning Jobs in Pennsylvania

Geisinger

Radiation Physicist

Lewistown, PA · On-site

The successful candidate will be involved in all aspects of clinical physics services ... It also has one CyberKnife, one Radixact Tomotherapy machine, and two HDR brachytherapy ...

Geisinger Health

Radiation Physicist

Danville, PA · On-site

The successful candidate will be involved in all aspects of clinical physics services ... It also has one CyberKnife, one Radixact Tomotherapy machine, and two HDR brachytherapy ...

Geisinger

Radiation Physicist

Dickson City, PA · On-site

The successful candidate will be involved in all aspects of clinical physics services ... It also has one CyberKnife, one Radixact Tomotherapy machine, and two HDR brachytherapy ...

Geisinger

Radiation Physicist

Wilkes Barre, PA

The successful candidate will be involved in all aspects of clinical physics services ... It also has one CyberKnife, one Radixact Tomotherapy machine, and two HDR brachytherapy ...

Geisinger

Radiation Physicist

Danville, PA · On-site

The successful candidate will be involved in all aspects of clinical physics services ... It also has one CyberKnife, one Radixact Tomotherapy machine, and two HDR brachytherapy ...

System One

Research Data Scientist

Pittsburgh, PA · On-site

This role focuses on developing data analysis pipelines, statistical models, and machine learning ... and informed decision-making. Responsibilities: * Design and implement scalable data analysis ...

System One

Research Data Scientist

Pittsburgh, PA · On-site

This role focuses on developing data analysis pipelines, statistical models, and machine learning ... and informed decision-making. Responsibilities: * Design and implement scalable data analysis ...

System One

Research Data Scientist

Pittsburgh, PA · On-site

This role focuses on developing data analysis pipelines, statistical models, and machine learning ... and informed decision-making. Responsibilities: * Design and implement scalable data analysis ...

Geisinger Health

AI Data Scientist Senior

Danville, PA · On-site +1

Leveraging your deep expertise and mastery of machine learning, you will spearhead the development ... informed decisions that enhance patient care and operational efficiency. You will also play a ...

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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.

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Infographic showing various Physics Informed Machine Learning job openings in Pennsylvania as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Research Scientist Intern, Photorealistic Telepresence (PhD)

Research Scientist Intern, Photorealistic Telepresence (PhD)

Meta

Pittsburgh, PA

Internship

Re-posted 15 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

Meta’s mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Meta are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.Our org, XR Codec Interactions and Avatar, is looking for exceptional research interns to help us create a revolution in AR and VR: achieving true photorealistic telepresence, where you can be with anyone, anywhere, at any time. We have made numerous important advances, and it will take a diverse team with a wide spectrum of skills to accomplish this future. If you have expertise in Artificial Intelligence, Computer Vision, or Computer Graphics, we expect you will find the work here highly intriguing. We regularly publish our work at leading conferences and journals.Come join us as we make photorealistic telepresence and autonomous social agents in VR happen! Available projects may include, but are not limited to:Generative AI models for image and video synthesisMotion and behavior synthesis for digital humansVR/AR encoding of social signalsFace and body reconstruction and trackingMultimodal LLMs, such as speech-to-speech LLMs and audio-visual LLMsOur internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Photorealistic Telepresence (PhD) Responsibilities:
  • Solve research problems in enabling photorealistic telepresence and autonomous social agents.
  • Collaboration with and support of other researchers across various disciplines.
  • Communication of research agenda, progress, and results.

Minimum Qualifications:
  • Currently has, or is in the process of obtaining, a PhD in Computer Science, Computer Vision, Computer Graphics, Robotics, Machine Learning, or related field
  • Experience with solving “inverse problems” in imaging emphasizing modeling and algorithm development
  • 2+ years of experience with Machine Learning for solving computer vision and computer graphics problems
  • Experience with deep learning frameworks such as Pytorch and TensorBoard
  • Experience with scientific programming languages such as Python
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Proven track record of achieving significant results as demonstrated by patents and first-authored publications at leading workshops or conferences such as ICCV, CVPR, NeurIPS, SIGGRAPH, ICASSP, or similar
  • Intent to return to a degree-program after the completion of the internship
  • Experience working and communicating cross functionally in a team environment
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience with systems building in Python or C++
  • Experience with large-scale generative models such as LLMs and video diffusion models
  • Experience with Machine Learning for 3D data (such as meshes, point clouds, gaussian splatting, and voxels)
  • Experience with Machine Learning for audio and visual synthesis

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,134/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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