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Machine Learning Chemistry Jobs in Seattle, WA (NOW HIRING)

Meta

Research Scientist, Optical Systems

Redmond, WA

$122K/yr

PhD in Chemistry, Polymer Science, Chemical Engineering, Materials Science, Physics, or related ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

ICE CAP

Structural Welder Journeyman ESR

Everett, WA · On-site

$33.90 - $35.70/hr

We seek tradesmen who share that view, value learning opportunities, and desire an opportunity to ... Experience working around Heavy Machinery * Ability to enter confined spaces using a respirator ...

ICE CAP

STRUCTURAL WELDER JOURNEYMAN NBB

Freeland, WA · On-site

$33.90 - $38/hr

Experience working around Heavy Machinery * Ability to enter confined spaces using a respirator ... Formal external or internal training in physics, chemistry, weld equipment care and operating ...

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Showing results 21-40

All JobsMachine Learning Chemistry JobsMachine Learning Chemistry Jobs in Seattle, WA

Machine Learning Chemistry information

See Seattle, WA salary details

$15

$25

$36

How much do machine learning chemistry jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for machine learning chemistry in Seattle, WA is $25.33, according to ZipRecruiter salary data. Most workers in this role earn between $20.77 and $27.88 per hour, depending on experience, location, and employer.

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

To thrive in a Machine Learning Chemistry role, you need a solid background in chemistry, expertise in data science and machine learning algorithms, and typically an advanced degree in chemistry, computer science, or a related field. Familiarity with programming languages like Python or R and experience working with cheminformatics tools and machine learning frameworks (such as TensorFlow or scikit-learn) are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills enable professionals to bridge the gap between computational work and experimental research teams. These competencies are crucial for developing innovative solutions in chemical research and ensuring successful collaboration across interdisciplinary teams.

What is a machine learning chemistry?

A Machine Learning Chemistry job involves using artificial intelligence techniques to analyze chemical data, model molecular behaviors, and accelerate discoveries in chemistry-related fields. Professionals in this role develop and apply machine learning algorithms to predict chemical properties, optimize reactions, and assist in drug design, material science, and other applications. They typically work in pharmaceuticals, materials science, or environmental chemistry, collaborating with chemists, data scientists, and engineers to solve complex chemical problems efficiently.

What does a machine learning chemistry do?

Professionals in Machine Learning Chemistry often work on projects such as developing predictive models for chemical property analysis, optimizing molecular structures, or advancing drug discovery through data-driven methods. Daily tasks may include data preprocessing, building and training machine learning models, validating results, and interpreting outcomes in collaboration with experimental chemists. Teamwork is common, with regular interactions between chemistry researchers, data scientists, and software engineers. This structure allows for iterative feedback and ensures that computational models align with practical lab needs. Continuous learning and adaptation are also key, as both the chemistry and machine learning fields are rapidly evolving.

What are the most commonly searched types of Machine Learning Chemistry jobs in Seattle, WA? The most popular types of Machine Learning Chemistry jobs in Seattle, WA are:
What are popular job titles related to Machine Learning Chemistry jobs in Seattle, WA? For Machine Learning Chemistry jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Chemistry jobs in Seattle, WA look for? The top searched job categories for Machine Learning Chemistry jobs in Seattle, WA are:
Machine Learning Chemistry jobs near you
Infographic showing various Machine Learning Chemistry job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $52,681 per year, or $25.3 per hour.

Senior Quantum Error Correction Research Scientist, Applied Research

Nvidia

Redmond, WA • Hybrid

$110K - $140K/yr

Full-time

Re-posted 27 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for passionate technologists with deep quantum computing domain expertise to path-find the future. As a Senior Quantum Error Correction Research Scientist for Quantum Computing Applied Research, you'll focus on technical pathfinding, helping to develop innovative technologies that advance the state of Fault-Tolerant Quantum Computing for Accelerated Quantum Supercomputers, and work with multi-functional teams in Product, Engineering and Applied Research.

Quantum computing is a strategic priority for NVIDIA, and our goal is to help accelerate the entire ecosystem. In this role, you'll join a rapidly growing Quantum Computing team, and work with partners across the industry. You'll help unlock new capabilities in fault tolerance, and bring theory into practice. Do you love developing new technology, enjoy working with collaborative people and teams all around the world, and operating at the speed of light? If yes, we would love to hear from you!

What you'll be doing:

  • Path-find technical innovations in Quantum Error Correction and Fault Tolerance, working with multi-functional teams in Product, Engineering, and Applied Research

  • Develop novel approaches to decoding quantum error correction codes and their logical operations, including researching advanced implementations in hardware

  • Research and co-design improved methods to achieve more scaled decoders

  • Collaborate with internal teams and external partners on developing technology components to enable a fault-tolerant software stack integrated with quantum hardware

  • Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving

What we need to see:

  • Masters degree in Physics, Computer Science, Chemistry, Applied Mathematics, or related engineering field or equivalent experience (Ph.D. preferred)

  • Extensive background in Quantum Information Science with 6+ overall years of experience in the Quantum Computing industry

  • A demonstrated ability to deliver high impact value in quantum error correction and decoding

Ways to stand out from the crowd:

  • Hands-on experience in scientific computing, high-performance computing, applied machine learning, or deep learning

  • Experience with co-design of quantum error correction with quantum hardware or quantum applications

  • Experience with CUDA and NVIDIA GPUs

  • Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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