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Control Research Scientist Jobs in Seattle, WA (NOW HIRING)

Research Scientist Location: Seattle, WA (Remote) Duration: 12 months contract with possible of ... Familiarity with software engineering principles (unit tests, CI/CD, version control etc.). Strong ...

Research Scientist Location: Seattle, WA (Remote) Duration: 12 months contract with possible of ... Familiarity with software engineering principles (unit tests, CI/CD, version control etc.). Strong ...

MindSource is looking for a Research Scientist to design and implement processes for evaluating and ... CD, version control etc.). • Strong programming skills in 1 or more programming languages ...

The Research Scientist in the Robotics team will work on developing core research problems in ... and control, RL and imitation learning, real world robot systems, simulation environments and ...

They are seeking a Research Scientist in Robotics to investigate core research problems in ... and control, RL and imitation learning, real world robot systems, simulation environments and ...

They are seeking a Research Scientist in the Robotics Team to develop and investigate core research ... and control, RL and imitation learning, real world robot systems, simulation environments and ...

The ideal Research Scientist candidate will use their skills in system design and modeling and ... transfer robotic control, manipulation, navigation, or generally embodied AI Preferred ...

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Control Research Scientist information

See Seattle, WA salary details

$57.5K

$148.1K

$198K

How much do control research scientist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for control research scientist in Seattle, WA is $148,076.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,300.00 and $196,900.00 per year, depending on experience, location, and employer.

What is a control research scientist?

Control research scientists are experts who study, design, and develop control systems to manage the behavior of dynamic systems in fields like engineering, robotics, and automation. Their work involves creating mathematical models, algorithms, and technologies that help systems operate efficiently and respond to changing conditions. They often collaborate with engineers and other scientists to solve complex problems and improve performance in applications such as manufacturing, aerospace, and automotive systems.

What are the key skills and qualifications needed to thrive as a control research scientist?

To thrive as a Control Research Scientist, you need a solid background in control theory, applied mathematics, and engineering, often supported by a Ph.D. in electrical, mechanical, or aerospace engineering. Familiarity with simulation software such as MATLAB/Simulink, programming languages like Python or C++, and experience with modeling and data analysis tools are typically required. Strong analytical thinking, problem-solving abilities, and effective communication are important soft skills in this role. These competencies are essential for designing advanced control systems, conducting impactful research, and effectively sharing findings with both technical and non-technical stakeholders.

What are some common collaboration dynamics for a control research scientist within multidisciplinary teams?

Control Research Scientists often work closely with professionals from various fields, such as electrical engineering, mechanical engineering, and data science. Collaboration typically involves jointly developing algorithms, integrating control systems into prototypes, and troubleshooting experimental results. Strong communication skills are essential, as you’ll regularly present findings, discuss technical challenges, and coordinate with both research and implementation teams. This multidisciplinary environment fosters innovation but also requires adaptability to different working styles and technical languages.

What is the difference between Control Research Scientist vs Control Engineer?

AspectControl Research ScientistControl Engineer
Required CredentialsMaster's or PhD in Engineering, Control Systems, or related fieldsBachelor's or Master's in Electrical, Mechanical, or Control Engineering
Work EnvironmentResearch labs, academia, R&D departmentsIndustrial settings, manufacturing, automation projects
Employer & Industry UsageUniversities, research institutions, tech companiesManufacturers, aerospace, automotive, process industries

Control Research Scientists focus on developing new control algorithms and conducting advanced research, often in academic or R&D settings. Control Engineers apply existing control theories to design, implement, and optimize control systems in industrial environments. While both roles require strong knowledge of control systems, the Control Research Scientist emphasizes innovation and theoretical development, whereas the Control Engineer emphasizes practical application and system deployment.

What job categories do people searching Control Research Scientist jobs in Seattle, WA look for?

The top searched job categories for Control Research Scientist jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Control Research Scientist jobs?

Cities near Seattle, WA with the most Control Research Scientist job openings:

Infographic showing various Control Research Scientist job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 4% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $148,076 per year, or $71.2 per hour.

Research Scientist

MindSource

Seattle, WA • Remote

Contractor

Re-posted 26 days ago


Job description

Job Title: Research Scientist
Location: Seattle, WA (Remote)
Duration: 12 months contract with possible of extension

Description
This role is for a Research Scientist who will be responsible for designing and implementing robust processes to evaluate and improve LLM-based models. More specifically, they will work on ensuring that we build models that will accelerate the developer work cycle and improve how software is built.

This researcher will:
Work closely with engineers, PMs, designers, and data scientists to align on research goals and build scalable end-to-end evaluation pipelines.
Report on their research and make recommendations to stakeholders.
Work autonomously and mentor other researchers to support the goals of the research organization.

Minimum Qualifications
4+ years of experience in an applied research setting, or similar.
Proven experience developing benchmarks and metrics to evaluate AI models, preferably with a focus on code generation or natural language processing (NLP).
Familiarity with software engineering principles (unit tests, CI/CD, version control etc.).
Strong programming skills in 1 or more programming languages (including Python).
2 years or more of experience with machine learning and data science algorithms and tools (e.g., PyTorch).
Ability to produce meaningful visualizations and reports, and effectively present results to different audiences and across multiple media formats.
Ability to work independently as well as collaboratively with minimal direction.
Organized, highly attentive to detail, and manages time well.
Experience working in industry.

Preferred Qualifications
Advanced degree (MS/PhD) in data analytics, statistics, or any engineering or computer science field.
Experience with large language models (LLMs) and knowledge of state-of-the-art code generation techniques.
Publication(s) in the fields of artificial intelligence, machine learning or data science.
Familiarity with code generation-specific benchmarks and metrics.
Ability to modify or fine-tune pre-trained models for specialized tasks.
Familiarity with code scanning tools.


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About Mindsource

Sourced by ZipRecruiter

Beginning with a 100 square foot office in Mountain View, Dave Clark and his entrepreneurial partners built a thriving business in four months with their unique technical knowledge and high-touch approach. Our management team immersed themselves in the intricacies of the most technically challenging and sophisticated technical endeavors, requiring the best and brightest minds. Two decades later, we have used our technical savvy to grow our consultancy and to provide top-tier talent in the areas of mobile development, front-end development, and quality assurance. We provide our consultants with engineering job opportunities, QA analyst jobs, IT job opportunities, and many other rewarding careers with Silicon Valley’s top employers. At every step, we made good on our promise to deliver satisfaction, and because of this emerged as the leader in our field. The MindSource staff is a close-knit family of employees; many have been with the company for over a decade. We are motivated by generating and maintaining long-term relationships with both colleagues and clients as we have done for over 20 years. We value working with the best, and continue to do so, over and over again.

Company size

51 - 200 Employees

Headquarters location

Mountain View, CA, US

Year founded

1994

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