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Physics Informed Machine Learning Jobs in Cypress, TX

Weatherford

Data Scientist - Wireline

Houston, TX

... machine learning models and statistical algorithms * Automate data workflows and analysis using modern programming tools * Modeling & Technical Contributions * Build predictive and physics-informed ...

Socket.dev

Data Scientist - Wireline

Houston, TX · On-site

$120 - $160/hr

... machine learning models and statistical algorithms * Automate data workflows and analysis using modern programming tools * Modeling & Technical Contributions * Build predictive and physics-informed ...

Power Factors

Senior Data Scientist - BESS

Houston, TX · On-site

You are highly proficient in Python, statistical modeling, machine learning, and AI, with a track record of interpretable, physics-informed, and operationally robust approaches. You are comfortable ...

Schlumberger

Scientific Computing Intern

Houston, TX · On-site

$14.25 - $19/hr

Depending on project progress, the intern may also explore physics-informed neural network (PINN ... PHD in Computer Science, Mathematics, or Machine Learning ALL APPLICANTS FOR U.S. ROLES MUST ...

Oxy

Advisor IT Systems - AI/ML Ops

Houston, TX · On-site

... management of machine learning and advanced analytics solutions across upstream Oil & Gas ... Knowledge of time-series, forecasting, or physics-informed ML workloads. * Experience with ...

MD Anderson

Postdoctoral Fellow - Imaging Physics

Houston, TX · On-site

$46K - $63K/yr

A postdoctoral fellowship position is available in the Department of Imaging Physics in the ... Experience with machine learning and deep learning techniques, statistical modeling, biomechanical ...

MD Anderson

Postdoctoral Fellow - Imaging Physics

Houston, TX · On-site

$46K - $63K/yr

A postdoctoral fellowship position is available in the Department of Imaging Physics in the ... Experience with machine learning and deep learning techniques, statistical modeling, biomechanical ...

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

As of Aug 12, 2026, the average hourly pay for physics informed machine learning in Cypress, TX is $17.28, according to ZipRecruiter salary data. Most workers in this role earn between $10.77 and $21.97 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?

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 popular job titles related to Physics Informed Machine Learning jobs in Cypress, TX? For Physics Informed Machine Learning jobs in Cypress, TX, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Cypress, TX look for? The top searched job categories for Physics Informed Machine Learning jobs in Cypress, TX are:
What cities near Cypress, TX are hiring for Physics Informed Machine Learning jobs? Cities near Cypress, TX with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Cypress, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $35,945 per year, or $17.3 per hour.

Data Scientist - Wireline

Weatherford International

Houston, TX • On-site

Full-time

Posted 16 days ago

Weatherford rating

7.3

Company rating: 7.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

49th of 86 rated oil and gas companies

Job description


Job Purpose
We are seeking a highly motivated Data Scientist to join our Sciences team. In this role, you will apply advanced data analytics, machine learning, and scientific modeling to solve complex problems related to downhole tools, signal processing, and formation evaluation.
The ideal candidate combines strong fundamentals in applied mathematics and data science with the ability to work in a cross-functional engineering environment.
Roles & Responsibilities
  • Design and develop data pipelines for cleaning, validation, and analysis of large datasets
  • Analyze structured and unstructured data to identify trends, patterns, and anomalies
  • Develop and deploy machine learning models and statistical algorithms
  • Automate data workflows and analysis using modern programming tools
  • Modeling & Technical Contributions
  • Build predictive and physics-informed models to support tool development and characterization
  • Work with simulation outputs and experimental data to improve system understanding
  • Develop custom tools and frameworks for advanced analytics
  • Collaboration & Delivery
  • Partner with engineers, physicists, and product teams to translate business needs into analytical solutions
  • Communicate insights and results effectively to technical and non-technical stakeholders
  • Support project planning, technical documentation, and knowledge sharing

Experience & Education
REQUIRED
  • Master's degree in applied mathematics, Data Science or Physics
  • 5+ years' experience Data Science
  • Strong analytical and problem-solving skills
  • Excellent communication and presentation abilities
  • Proficiency in managing and interpreting large datasets
  • Experience with machine learning techniques
  • Experience with statistical and data mining techniques

PREFERRED
  • Experience using C, C++, Java, JavaScript, Python, R, SQL
  • Expertise in areas such as formation evaluation, production logging and well integrity.
  • 5+ years' experience in the Oil and Gas industry
  • Knowledge of tool physics and tool characterization
  • Ph.D. in applied mathematics, Data Science or Physics

Knowledge, Skills & Abilities
REQUIRED
  • Excellent problem-solving, analytical, and decision-making skills, with the ability to think critically and develop innovative solutions.
  • Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders
  • Knowledge of industry standards, regulations, and best practices related to health, safety, and environmental compliance.
  • Self-starter, Curious, ability to research independently and integrate knowledge from various sources into working solutions.

PREFERRED
  • Active participation in technical societies, forums and open-source communities is a plus.
  • Published technical papers, presented in industry conferences.

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