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Physics Informed Machine Learning Jobs in Austin, TX

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · On-site

Demonstrated experience using machine learning, deep learning, statistical methodology, and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

Demonstrated experience using machine learning, deep learning, statistical methodology, and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Wipro

Content Moderator (Austin onsite only)

Austin, TX · On-site

$121K - $126K/yr

... machine learning algorithms. • Keep abreast of the latest AI trends, ethical guidelines, and ... informed and objective assessments. • Meticulously examine model outputs to identify subtle ...

Apple

SRAM Circuit Design Engineer

Austin, TX · On-site

Deep understanding of nanometer device physics, leakage mechanisms, technology interactions with device behavior. Ability to devise experiments and analyze data for silicon debug. Machine Learning ...

Apple

SRAM Circuit Design Engineer

Austin, TX · On-site

Deep understanding of nanometer device physics, leakage mechanisms, technology interactions with device behavior. Ability to devise experiments and analyze data for silicon debug. Machine Learning ...

Apple

SRAM Circuit Design Engineer

Austin, TX

Deep understanding of nanometer device physics, leakage mechanisms, technology interactions with device behavior. Ability to devise experiments and analyze data for silicon debug. Machine Learning ...

Wipro

Content Moderator (onsite Austin)

Austin, TX · On-site

$121K - $126K/yr

... informed and objective assessments. • Meticulously examine model outputs to identify subtle ... Required : • HS Diploma or GED • Familiarity with AI concepts and machine learning • Ability ...

Eka Finance

Quantitative Research Analyst

Austin, TX · On-site

Exposure to machine learning, statistical modelling, or optimisation techniques is a plus * Bachelor's degree in a technical discipline (e.g., Mathematics, Physics, Computer Science, Engineering, or ...

Apple

SRAM Circuit Design Engineer

Austin, TX

$175K - $308K/yr

Deep understanding of nanometer device physics, leakage mechanisms, technology interactions with device behavior. Ability to devise experiments and analyze data for silicon debug. Machine Learning ...

Apple

SRAM Circuit Design Engineer

Austin, TX

$175K - $308K/yr

Deep understanding of nanometer device physics, leakage mechanisms, technology interactions with device behavior. Ability to devise experiments and analyze data for silicon debug. Machine Learning ...

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

As of Jul 12, 2026, the average hourly pay for physics informed machine learning in Austin, TX is $19.89, according to ZipRecruiter salary data. Most workers in this role earn between $12.40 and $25.24 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 are popular job titles related to Physics Informed Machine Learning jobs in Austin, TX? For Physics Informed Machine Learning jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Austin, TX look for? The top searched job categories for Physics Informed Machine Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for Physics Informed Machine Learning jobs? Cities near Austin, 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 Austin, TX as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $41,364 per year, or $19.9 per hour.
DATA SCIENTIST

DATA SCIENTIST

Adidev Technologies Inc

Austin, TX • On-site

Full-time

Posted 21 days ago

Job description

Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly
Job Description
  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline

Must have
  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science

SKILLS
  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

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