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Physics Informed Machine Learning Jobs in Austin, TX

Deloitte

Data Science Consultant

Austin, TX · On-site

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 experience outside ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Austin, TX

$77K - $202K/yr

... informed decision-making. Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Developing and deploying scalable AI and Machine Learning solutions ...

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 ...

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 ...

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 ...

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

As of Jun 9, 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 June 2026, with employment types broken down into 1% Locum Tenens, 82% Full Time, 13% Part Time, 2% Contract, and 2% Nights. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $41,364 per year, or $19.9 per hour.
Data Scientist - Strategic Data Solutions

Data Scientist - Strategic Data Solutions

Apple

Austin, TX

Full-time

Posted 13 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Imagine what you could do here! The people here at Apple don’t just create products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.
At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.
As a Data Scientist, you will provide data driven insights to fight fraud. You will develop models, evaluate product launches, develop automated solutions to deliver timely alerts, find opportunities for future development by applying the bleeding edge scientific methods. You will partner with engineers, product, program and business leaders alongside other teams to bring better experiences to drive meaningful customer impact.
Description
Research and develop evaluation methods to address fraud. Solve difficult, non-routine analysis problems by applying statistical, machine learning and advanced analytical methods as needed.
- Design and execute observational and experimental studies of causal inference
- Work with large, complex data sets.
- Develop automated solutions to deliver insights and alerts
- Drive feature evaluation and product roadmap with insights","responsibilities":"Develop scalable data solutions to be used to drive analyses, reports, and insights
Influence upstream data model design, drive KPI definitions and develop customized data solutions
Measure impact of features and initiatives and help improve customer experience
Collaborate and influence cross functional partners to help deliver product objectives on time
Communicate results, insights and expectations to partners and senior leaders, bridge any gaps between technical and non-technical audiences. Be adept at messaging domain and technical content at a level appropriate for the audience.
Work independently in sophisticated and highly visible projects, identify risks and develop frameworks, regularly connect with collaborators and leadership teams.
Preferred Qualifications
PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Experience applying LLMs to solve technical problems such as data analysis, data automation, synthetic data generation with proven ability to optimize model performance for accuracy and efficiency
Excellent product intuition, keen eye for design and customer pain point awareness
Experience developing anomaly detection and causal inference models
Minimum Qualifications
Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Proficiency in data querying using SQL, Spark, or equivalent technologies
Proficiency in scripting languages for data processing and analysis (ex: Python, R, or Scala)
Excellent communication and multi-functional collaboration skills, ability to convey complex concepts to diverse audiences
At least 3 years experience working as a Data Scientist

What Apple employees say

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Benefits

Hours and flexibility

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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