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Physics Based Machine Learning Jobs in Renton, WA

Meta

Software Engineer, Machine Learning

Seattle, WA

$183K/yr

... physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer ... We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy ...

Meta

Software Engineer, Machine Learning

Bellevue, WA · On-site +1

$183K/yr

... physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer ... We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy ...

Remitly Inc.

Staff Machine Learning Engineer

Seattle, WA · On-site

$208 - $260/hr

## Staff Machine Learning EngineerApplylocations: Seattle, Washington United Statestime type: Full ... Managers also have the flexibility to set higher expectations based on their team's specific needs.

Hive

Senior Machine Learning Engineer

Seattle, WA · On-site

$160K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best ...

Hive

Senior Machine Learning Engineer

Seattle, WA · On-site

$160K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best ...

Hive

Staff Machine Learning Engineer

Seattle, WA · On-site

$200K - $300K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in ...

Apple

AIML - Machine Learning Research

Seattle, WA

$142K - $263K/yr

This involves developing sophisticated machine learning and large language models (LLMs) to ... Description In this role, you will work on LLM based question answering and Apple Intelligence ...

Hive

Staff Machine Learning Engineer

Seattle, WA · On-site

$200K - $300K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in ...

Apple Inc.

AIML - Machine Learning Research

Seattle, WA · On-site

$142.30 - $263.30/hr

Description In this role, you will work on LLM based question answering and Apple Intelligence ... D. in Computer Science, Machine Learning with a specialty in reinforcement learning, or a related ...

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Physics Based Machine Learning information

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

As of Aug 21, 2026, the average hourly pay for physics based machine learning in Renton, WA is $22.57, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $28.65 per hour, depending on experience, location, and employer.

What is a physics based machine learning?

A Physics Based Machine Learning job involves developing machine learning models that incorporate physical laws and domain knowledge to improve predictions and interpretability. Professionals in this field work at the intersection of physics, data science, and artificial intelligence to create models that are more robust, generalizable, and efficient, especially in scientific and engineering applications. Responsibilities often include data analysis, algorithm development, numerical simulations, and integrating physics-based constraints into ML models. These roles are common in industries like climate science, robotics, materials science, and computational physics.

What does a physics based machine learning professional do?

Physics Based Machine Learning professionals often work on projects that involve applying machine learning techniques to physical systems, such as improving simulations in engineering, optimizing energy systems, or accelerating scientific research through data-driven modeling. Daily tasks might include developing algorithms that incorporate physical laws, analyzing simulation data, and collaborating with experts from engineering, data science, or research teams. The role can involve both theoretical and hands-on work, often requiring iterative testing and validation. This environment provides opportunities to tackle cutting-edge challenges, contribute to innovation, and potentially lead to career paths in research, product development, or advanced analytics.

What are the key skills and qualifications needed to thrive in physics based machine learning?

To thrive in Physics Based Machine Learning, you need advanced knowledge of physics, strong programming skills (Python, MATLAB, or C++), and a deep understanding of machine learning and statistical modeling, typically supported by a master's or PhD in physics, engineering, or a related field. Familiarity with simulation software, scientific computing libraries (such as TensorFlow, PyTorch, NumPy), and version control systems is essential. Strong problem-solving ability, effective communication, and cross-disciplinary collaboration skills set outstanding candidates apart. These competencies are crucial for designing robust, real-world models that integrate physical principles with data-driven techniques to solve complex problems.

What are popular job titles related to Physics Based Machine Learning jobs in Renton, WA?

For Physics Based Machine Learning jobs in Renton, WA, the most frequently searched job titles are:

What job categories do people searching Physics Based Machine Learning jobs in Renton, WA look for?

The top searched job categories for Physics Based Machine Learning jobs in Renton, WA are:

Physics Based Machine Learning jobs near you
Infographic showing various Physics Based Machine Learning job openings in Renton, WA as of August 2026, with employment types broken down into 79% Full Time, 7% Part Time, 7% Temporary, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $46,940 per year, or $22.6 per hour.

Software Engineer Leadership, Machine Learning RecSys

Meta

Bellevue, WA • On-site, Remote

$219K/yr

Full-time

Re-posted 13 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 245 rated software companies

Job description

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products, with the mission of connecting billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team and working on exciting projects that have a significant impact, we encourage you to apply.
Software Engineer Leadership, Machine Learning RecSys Responsibilities:
  • Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences Implement custom user interfaces using latest programming techniques and technologies Develop reusable software components for interfacing with back-end platforms Analyze and optimize code for quality, efficiency, and performance Lead complex technical or product efforts and provide technical guidance to peers Architect efficient and scalable systems that drive complex applications Identify and resolve performance and scalability issues Work on a variety of coding languages and technologies Establish ownership of components, features, or systems with expert end-to-end understanding

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 4+ years of experience in software engineering, or a relevant field. 3+ years of experience if you have a PhD
  • 3+ years of experience in one or more of the following areas: machine learning, recommendation systems, artificial intelligence, or related technical field
  • Experience with developing machine learning models at scale from inception to business impact
  • Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
  • Experience with scripting languages such as Python, Javascript or Hack
  • Experience leading major initiatives successfully, Proven ability to set technical direction and influence product strategy
  • Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale)
  • Hands-on experience working with large language models (LLMs), such as BERT, GPT, or similar architectures, including fine-tuning, integration, or application in production environments
  • Experience building and shipping high quality work and achieving high reliability
  • Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions
  • Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects

Preferred Qualifications:
  • Masters degree or PhD in Computer Science or a related technical field
  • Exposure to architectural patterns of large scale software applications
  • Experience with scripting languages such as Pytorch and TF
  • Publications in top-tier conferences/journals, patents, or open-source contributions in the recommendations or LLM space
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$219,000/year to $301,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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