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Physics Informed Machine Learning Jobs in Florida

This role will focus on applying machine learning, automation, and high-performance computing to ... Knowledge of control systems, reinforcement learning, or physics-informed AI is a plus. Familiarity ...

This role will focus on applying machine learning, automation, and high-performance computing to ... Knowledge of control systems, reinforcement learning, or physics-informed AI is a plus. Familiarity ...

Masters or PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field * Advanced training and strong research track record in statistics, machine learning ...

Applied Physics Specialist (AI Training) About the Role What if your mastery of quantum mechanics ... No prior AI or machine learning experience required Nice to Have * Prior experience with data ...

Graduate degree in Computer Science, Mathematics, Physics, Engineering, Statistics, Operations Research, or other equivalent quantitative fields 7+ years of work experience in Machine Learning, AI ...

Required : • A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates. • At least 2+ years of industry ...

Required : • A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates. • At least 2+ years of industry ...

ENSCO is seeking a motivated and skilled Data Scientist/Engineer to join our Machine Learning Data ... Physics, or related technical field 3+ years of experience in data engineering, software ...

... physics and who share our mission of improving health outcomes through data science. If you are ... Deep understanding of modern machine learning techniques and algorithms * Must demonstrate ...

... physics and who share our mission of improving health outcomes through data science. If you are ... Deep understanding of modern machine learning techniques and algorithms * Must demonstrate ...

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Physics Informed Machine Learning information

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 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 job categories do people searching Physics Informed Machine Learning jobs in Florida look for? The top searched job categories for Physics Informed Machine Learning jobs in Florida are:
What cities in Florida are hiring for Physics Informed Machine Learning jobs? Cities in Florida with the most Physics Informed Machine Learning job openings:

AI Software Engineer

AMPERA INC

Palm Beach Gardens, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Benefits:

401(k)

401(k) matching

Competitive salary

Health insurance

Paid time off

Vision insurance

Dental insurance

Donation matching

Employee discounts

Opportunity for advancement

Wellness resources

AI / Software Engineer

Location: Palm Beach Gardens, FL Employment Type: Full-time, Exempt

About AMPERA

AMPERA is redefining clean, sovereign energy with compact, ultra-safe nuclear systems that power AI, industry, and defense with zero emissions and unmatched reliability. Our modular micro-reactors combine the best of fusion and fission to deliver scalable, deployable, and inherently safe energy anywhere — from AI data centers to remote or defense operations.

As a rapidly growing company, AMPERA merges the agility of a startup with the ambition of a global innovator. Joining us means contributing to a bold mission to revolutionize how the world generates power through AI-driven reactor intelligence, autonomous control systems, and advanced software engineering.

Position Overview

AMPERA is seeking an experienced AI / Software Engineer to develop intelligent control, simulation, and data analytics systems for the company's next-generation micro-reactors. This role will focus on applying machine learning, automation, and high-performance computing to enhance reactor safety, predictive diagnostics, and operational efficiency.

The ideal candidate has a strong foundation in software development, data science, and systems integration — with a passion for applying AI and computational methods to complex physical and engineering systems.

Key Responsibilities

Design and implement AI models and algorithms for real-time monitoring, predictive maintenance, and process optimization.

Develop and maintain simulation tools that integrate reactor physics, control systems, and operational data.

Create scalable data pipelines and automation workflows for experimental and reactor test environments.

Collaborate with nuclear, mechanical, and controls engineers to embed intelligent decision-making into control architectures.

Build digital twins of reactor subsystems to evaluate performance under simulated and real-world conditions.

Develop software applications and APIs using Python, C++, or JavaScript frameworks for visualization, data analysis, and control interfaces.

Implement cybersecurity and data integrity measures for mission-critical systems.

Support deployment of AI systems across cloud and edge computing environments.

Contribute to research publications, technical reports, and internal knowledge sharing.

Qualifications

B.S. or M.S. in Computer Science, Electrical Engineering, Applied Mathematics, or related field.

5+ years of experience in software development, machine learning, or AI systems engineering.

Strong programming skills in Python, C++, TensorFlow, PyTorch, or similar frameworks.

Experience with simulation tools, digital twins, or high-performance computing (HPC) preferred.

Knowledge of control systems, reinforcement learning, or physics-informed AI is a plus.

Familiarity with nuclear, energy, or industrial automation domains is advantageous.

Excellent problem-solving, collaboration, and communication skills.

U.S. citizenship or eligibility for security clearance may be required.

What We Offer

Competitive salary

Comprehensive benefits package including healthcare, dental, vision, STD, LTD, Life/AD&D and 401(k).

Opportunity to pioneer advanced nuclear fuel technologies driving the next generation of clean energy.

Collaborative, mission-driven environment that fosters technical excellence and innovation.

Career advancement potential as AMPERA expands its fuel development and reactor manufacturing programs.