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Physics Informed Machine Learning Jobs in Margate, FL

ADT

Data Science and Analytics Manager

Boca Raton, FL · On-site

... informed decisions that materially impact profitability, customer experience, and long-term value ... Lead development of Advanced Data science (DS) and Machine Learning (ML) models across Customer ...

Td

Data Scientist III - FCRM

Fort Lauderdale, FL

$96K - $155K/yr

Experience with machine learning, generative AI, large language models (LLMs), agentic AI, prompt ... Keeps others informed and up to date about the status/progress of projects and/or all relevant or ...

New

Seez

Technical Product Manager

Fort Lauderdale, FL

$159K - $184K/yr

Experience working on products that incorporate automation, machine learning workflows, LLM ... User-Centric & Data-Informed: Passionate about understanding user needs and turning insights into ...

Seez

Technical Product Manager

Fort Lauderdale, FL · On-site

$159K - $184K/yr

Experience working on products that incorporate automation, machine learning workflows, LLM ... User-Centric & Data-Informed: Passionate about understanding user needs and turning insights into ...

Seez

Technical Product Manager

Fort Lauderdale, FL · On-site

$159K - $184K/yr

Experience working on products that incorporate automation, machine learning workflows, LLM ... User-Centric & Data-Informed: Passionate about understanding user needs and turning insights into ...

Hoerbiger

CNC Setup Operator I (3rd Shift)

Delray Beach, FL · On-site

$19.25 - $26.25/hr

By setting up and operating machines and observing cutting operations, you will maintain the ... informed and ensure transparent and effective communication. * Basic Maintenance and Safety:

American Express

Sr Assoc-Digital Product Mgmt

Sunrise, FL · On-site

$89K - $150K/yr

... machine learning algorithms and Big Data environment. An ideal candidate will be interested in ... A analytical thinker that is able to focus on leveraging data to make informed decisions. * Able to ...

Rgpmd LLC

Medical Assistant

Pembroke Pines, FL · On-site

$16.75 - $21.50/hr

... informed on their condition and care ... You will also be helping manage the inventory of medical supplies, setting up machines and testing ...

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Physics Informed Machine Learning information

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

As of Jul 26, 2026, the average hourly pay for physics informed machine learning in Margate, FL is $18.14, according to ZipRecruiter salary data. Most workers in this role earn between $11.30 and $23.03 per hour, depending on experience, location, and employer.

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 Margate, FL look for? The top searched job categories for Physics Informed Machine Learning jobs in Margate, FL are:
What cities near Margate, FL are hiring for Physics Informed Machine Learning jobs? Cities near Margate, FL with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you

Electrical Engineering & Computer Science Patent Agent - Fort Lauderdale

Direct Counsel

Fort Lauderdale, FL • On-site, Remote

$140K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Job description

Direct Counsel is partnered with an AmLaw 100 firm seeking mid-level patent agents to join their Electrical Engineering and Computer Science Patent Prosecution Practice Group. This position is open to all offices with emphasis on Atlanta, Denver, San Francisco, Seattle, St. Louis, Washington, DC, Houston, Kansas City, or Phoenix offices. Interested candidates must possess a high level of academic achievement, solid law firm, engineering, or industry experience, and superb writing and communication skills.

Responsibilities:

  • Prepare and prosecute patent applications in electrical engineering and software-related technologies

  • Conduct patentability searches and analysis

  • Draft responses to USPTO office actions

  • Collaborate with attorneys and clients to develop patent strategies

  • Review and analyze technical disclosures

Qualifications:

  • 2+ years of relevant patent preparation and prosecution experience

  • Degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, or Physics

  • Admission to the USPTO required

  • Excellent writing, communication, and analytical skills

  • Experience in data science, AI, networking technologies (including network security), machine learning, and hardware security is highly preferred

Compensation:

  • Salary range: $140,000 - $250,000 depending on experience

  • Discretionary performance-based bonus may be available

  • Eligible for firm benefits including: medical insurance, dental insurance, life insurance, disability insurance, voluntary vision insurance, 401(k) plan, and paid time off

Application Requirements:
Please submit a cover letter, resume, undergraduate transcript (and graduate when applicable), and writing sample (preferred patent application).