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Physics Informed Machine Learning Jobs in Indiana

... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

... Machine Learning Microsoft Azure Python (Programming Language) Scalability Software Development ... informed team member providing analysis of information and limited project direction input.

... informed decision-making across programs and operations. Working closely with organizational ... Familiarity with MLOps concepts and an interest in growing into machine learning model development ...

... informed decision-making across programs and operations. Working closely with organizational ... Familiarity with MLOps concepts and an interest in growing into machine learning model development ...

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC ...

This team helps produce medicines using machine learning and robotic capabilities with some of the ... stakeholders, supporting informed decisionmaking. * Build a strong understanding of IPM ...

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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 job categories do people searching Physics Informed Machine Learning jobs in Indiana look for? The top searched job categories for Physics Informed Machine Learning jobs in Indiana are:
What cities in Indiana are hiring for Physics Informed Machine Learning jobs? Cities in Indiana with the most Physics Informed Machine Learning job openings:
Environmental, Health & Safety Lead

Environmental, Health & Safety Lead

Meta

Lebanon, IN

$118K/yr

Full-time

Posted 9 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies


Job description

Meta is seeking an Environmental, Health & Safety (EHS) Lead to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our suite of products operates to meet the demands of our customers. The EHS Lead will work with the global EHS team and local data center site management to develop and proven experience acting as a thought leader in the area of EHS program to keep all data center employees and all Meta partners safe while working at our facilities and ensure compliance with our EHS standards.
Environmental, Health & Safety Lead Responsibilities:
  • Deliver and track all necessary health and safety training for onsite employees and contingent workers and maintain accurate training records
  • Identify and ensure compliance with all local, state, federal and company health, safety and environmental policies, including tracking all necessary records and documentation
  • Provide functional direction to contracted services
  • Establish and grow positive cross-functional relationships with all site teams to gain alignment on strategic priorities
  • Partner with vendors to uphold EHS requirements on site
  • Assist in the development and implementation of organization wide EHS standards and guidelines
  • Develop site-based plans for the implementation and on-going management of global EHS standards
  • Build and maintain a site safety posture that engages and involves site leadership and site team members to be active participants
  • Manage activities to support day-to-day EHS operations and partner with relevant EHS professionals involved in construction activities to ensure alignment and segregation of responsibilities, as appropriate
  • Actively support in incident investigations, root cause analyses and injury case management
  • Maintain operational safety programs for the team (electrical glove exchange, fall protection inspections etc.)
  • Review site work procedures to assign risk levels and review risk mitigation plans
  • Participate in the design and development of facilities, work areas and work procedures and make health, safety and environmental recommendations accordingly

Minimum Qualifications:
  • 7+ years’ experience working in the Environmental, Health and Safety field
  • BS degree in safety or health sciences, or related discipline and 3+ years’ experience working in the Environmental, Health and Safety field in lieu of 7+ years’ experience working in the Environmental, Health and Safety field
  • Experience in program development, management, and execution
  • Experience in leading or managing incident investigation and mitigation

Preferred Qualifications:
  • 10+ years’ experience working in the Environmental, Health and Safety field
  • Experience working in a mission critical environment
  • Experience with NFPA 70E, management of federal regulations and/or environmental permitting processes
  • EHS certifications from Board of Certified Safety Professional (BCSP) or equivalent international agency
  • Experience or understanding of procedure-based work

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.
$118,000/year to $170,000/year + bonus + equity + 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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