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Artificial Intelligence Machine Learning Physics Jobs in Seattle, WA

Unitytech

Machine Learning Engineer

Bellevue, WA · On-site +1

$117K - $152K/yr

Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our ...

Axon

Principal Machine Learning Engineer

Seattle, WA · Hybrid

Director of Artificial Intelligence * Architect and develop secure, privacy-preserving, on device ... Bachelor's Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly ...

Docugami

Machine Learning / Data Scientist

Kirkland, WA · On-site

Docugami uses powerful artificial intelligence to unlock the information contained in highly varied ... Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside ...

Docugami

Machine Learning / Data Scientist

Kirkland, WA · On-site

Docugami uses powerful artificial intelligence to unlock the information contained in highly varied ... Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside ...

Qualtrics

Senior Machine Learning Engineer

Seattle, WA

$139K - $183K/yr

Senior Machine Learning Engineer Why We Have This Role We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to ...

Qualtrics

Senior Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

Senior Machine Learning Engineer Why We Have This Role We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to ...

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Artificial Intelligence Machine Learning Physics information

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How much do artificial intelligence machine learning physics jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for artificial intelligence machine learning physics in Seattle, WA is $22.83, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $28.99 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning physicist, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Physicist, you need a strong background in physics, advanced mathematics, computer science, and experience with machine learning algorithms, typically supported by a graduate degree in a related field. Proficiency in programming languages such as Python or C++, machine learning frameworks like TensorFlow or PyTorch, and familiarity with data analysis tools are essential, along with experience in scientific computing. Critical thinking, problem-solving, and strong communication skills help you interpret complex data, collaborate across disciplines, and convey research findings effectively. These combined skills are crucial for developing innovative AI models, driving scientific discovery, and advancing technology at the intersection of physics and machine learning.

What is artificial intelligence machine learning physics?

Artificial Intelligence Machine Learning Physics is an interdisciplinary field that applies AI and machine learning techniques to solve complex problems in physics. Experts in this area use algorithms to analyze large datasets, model physical phenomena, and accelerate scientific discoveries. The field combines knowledge of physics, computer science, and mathematics to design models that can predict, simulate, or interpret physical processes. Applications include materials science, quantum mechanics, astrophysics, and more, making it a rapidly growing area of research and industry.

What collaborative projects can professionals in artificial intelligence machine learning physics expect to work on?

Professionals in Artificial Intelligence Machine Learning Physics often work on interdisciplinary teams, partnering closely with data scientists, physicists, and software engineers. They may contribute to projects such as developing advanced simulation tools, optimizing experimental data analysis, or creating machine learning models to predict physical phenomena. Collaboration is key, as these roles frequently involve integrating AI algorithms with physical models and leveraging domain-specific knowledge from physics experts. This dynamic environment fosters continual learning and offers opportunities to lead innovative research or transition into specialized engineering and research leadership roles.

What is the difference between Artificial Intelligence Machine Learning Physics vs Data Scientist?

AspectArtificial Intelligence Machine Learning PhysicsData Scientist
Required credentialsDegree in Computer Science, Physics, or related fields; certifications in AI/MLDegree in Statistics, Mathematics, Computer Science; certifications in data analysis
Work environmentResearch labs, tech companies, academia focusing on AI/ML applications in physicsBusiness, finance, healthcare sectors analyzing large datasets
Industry usageDeveloping AI models for physics simulations, research, and technologyExtracting insights from data to inform business decisions

Artificial Intelligence Machine Learning Physics and Data Scientist roles share a focus on data analysis and technical skills. However, AI/ML Physics emphasizes developing algorithms within physics contexts, while Data Scientists focus on analyzing diverse datasets across industries. Both roles often require similar educational backgrounds and certifications, but their applications and work environments differ significantly.

What are popular job titles related to Artificial Intelligence Machine Learning Physics jobs in Seattle, WA? For Artificial Intelligence Machine Learning Physics jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Physics jobs in Seattle, WA look for? The top searched job categories for Artificial Intelligence Machine Learning Physics jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Artificial Intelligence Machine Learning Physics jobs? Cities near Seattle, WA with the most Artificial Intelligence Machine Learning Physics job openings:
Artificial Intelligence Machine Learning Physics jobs near you
Infographic showing various Artificial Intelligence Machine Learning Physics job openings in Seattle, WA 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 $47,491 per year, or $22.8 per hour.

Research Scientist Intern, State Estimation for Dexterous Manipulation (PhD)

Meta

Redmond, WA

Internship

Re-posted 29 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies

Job description

At Reality Labs Research, our goal is to explore, innovate and design novel interfaces and hardware for the next generation of virtual, augmented, and mixed reality experiences. We are driving research towards a vision of natural, seamless experiences in XR environments that are effective, enjoyable, and functionally indistinguishable from those in the real world.As a Research Scientist Intern, you will work at the intersection of representation learning, physics-based estimation, and robotic manipulation. Your primary focus will be on developing latent space representations of object physical state with learned, high-dimensional embeddings that can capture time-varying object properties during dexterous manipulation. You will design experiments to validate these representations and demonstrate their value in practical multi-sensory setup and applications.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, State Estimation for Dexterous Manipulation (PhD) Responsibilities:
  • Design and implement latent space representations for object physical state during robotics manipulation tasks that go beyond fixed parameter sets.
  • Design and execute controlled experiments to validate the representation: measuring adaptation speed, property decoding fidelity, and downstream control performance against baselines (no object state, explicit physical parameters, raw sensor history).
  • Benchmark the latent state representation on practical dexterous manipulation tasks.
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
  • Showcase the value in simulated or physical demos.

Minimum Qualifications:
  • Currently has or is in the process of obtaining a Ph.D. degree in Robotics, Machine Learning, Computer Science, or relevant technical field
  • Strong background in representation learning, generative models, or neural implicit representations (e.g., Gaussian splatting, NeRF, structured latent variable models)
  • Experience with physics-based estimation, state estimation, or system identification in robotic or dynamical systems (e.g. Bayesian filtering, online adaptation, or meta-learning for system identification)
  • Experience with Python and PyTorch
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Experience with tactile sensing, force/torque sensors, or robot hand manipulation
  • Familiarity with model-based control (MPC), reinforcement learning, or imitation learning for manipulation
  • Experience with Bayesian filtering, online adaptation, or meta-learning for system identification
  • Experience with experimental design and statistical evaluation of robotic systems
  • Experience working and communicating cross functionally in a team environment
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as Robotics (RSS, ICRA, IROS, CoRL, T-RO, IJRR), Machine Learning (NeurIPS, ICML, ICLR, AAAI, JMLR), and Computer Vision (CVPR, ICCV, ECCV, TPAMI), or similar
  • Intent to return to the degree program after the completion of the internship/co-op

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.
$7,650/month to $12,667/month + 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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