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Remote Research Scientist Mechanical Engineering Jobs

Research Scientist Location: Seattle, WA (Remote) Duration: 12 months contract with possible of ... Work closely with engineers, PMs, designers, and data scientists to align on research goals and ...

Research Scientist Location: Seattle, WA (Remote) Duration: 12 months contract with possible of ... Work closely with engineers, PMs, designers, and data scientists to align on research goals and ...

$120K - $190K/yr

We conduct pre-deployment testing on behalf of frontier developers such as OpenAI and independent ... Mechanistic Interpretability : Finding issues with Sparse Autoencoders, probing deception using ...

Research Scientist

$90K - $100K/yr

Remote - USA, Canada Reports to: Managing Director, Research Science Vacancy : New vacancy The Role ... D. in Data Science, Statistics, Data Engineering, Psychology, Economics or related quantitative ...

ISEE is seeking full-time Research Scientists to join our team. The ideal candidate has several ... Engineering, Mechanical Engineering, Control Engineering, Machine Learning, Statistics, or a ...

Oura's remote employees in major cities like Boston, DC, and New York occasionally gather ... Advanced programming and analytical skills in Python and/or R, with experience using SQL and ...

Research Scientist

Baltimore, MD · Remote

$120K - $150K/yr

Experience with remote sensing datasets, specifically satellite radar, altimetry, and optical ... Collaborate with data scientists, engineers and scientists to develop methods to forecast glacier ...

Research Scientist

Redwood City, CA · On-site +1

$200K - $350K/yr

We work with some of the world's largest organizations to empower scientists, engineers, financial ... Redwood City or San Francisco OR REMOTE Main Responsibilities * Design, implement, and validate ...

... scientists, engineers, and industry partners to push forward Snorkel AI's broader research initiatives and rapidly productionize prototypes. Qualifications : Required : • Design, implement, and ...

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project ... Game Development , or Mechanical / Aerospace Engineering . * High attention to detail

Research Scientist

Seattle, WA · On-site +1

$84K - $100K/yr

As a Research Scientist at CFC, you'll provide expertise in social-emotional learning, education ... Note: This position is remote; employees are eligible to work remotely in any of the following ...

Research Scientist

Seattle, WA · On-site +1

$84K - $100K/yr

As a Research Scientist at CFC, you'll provide expertise in social-emotional learning, education ... Note: This position is remote; employees are eligible to work remotely in any of the following ...

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Remote Research Scientist Mechanical Engineering information

See salary details

$37K

$106K

$142.5K

How much do remote research scientist mechanical engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote research scientist mechanical engineering in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote research scientist mechanical engineering?

To thrive as a Remote Research Scientist in Mechanical Engineering, you need advanced knowledge in mechanical engineering principles, research methodologies, and typically a master's or Ph.D. in the field. Proficiency with simulation software (such as ANSYS or MATLAB), data analysis tools, and familiarity with scientific publication processes are standard. Strong problem-solving, self-motivation, and effective written and verbal communication skills are crucial for remote collaboration and independent research. These skills enable you to conduct innovative research, contribute to scientific advancements, and communicate findings effectively in a remote environment.

What are some common challenges faced by remote research scientists mechanical engineering, and how can they be addressed?

Remote research scientists in mechanical engineering often encounter challenges such as coordinating complex experiments virtually, limited access to specialized lab equipment, and maintaining effective communication with on-site teams. To address these issues, they frequently rely on simulation software, virtual collaboration tools, and regular video meetings to stay aligned with project goals. Establishing clear reporting structures and leveraging cloud-based data sharing also help ensure productive teamwork and successful research outcomes.

What does a remote research scientist mechanical engineering do?

A Remote Research Scientist in Mechanical Engineering conducts scientific studies and experiments to develop new technologies, materials, or processes related to mechanical systems, all while working from a remote location. Their tasks often include designing experiments, analyzing data, publishing findings, and collaborating with other engineers or scientists virtually. They may focus on areas such as thermodynamics, robotics, materials science, or energy systems, contributing to advancements in industries like automotive, aerospace, or manufacturing.

What is the difference between Remote Research Scientist Mechanical Engineering vs Remote Mechanical Design Engineer?

AspectRemote Research Scientist Mechanical EngineeringRemote Mechanical Design Engineer
Required CredentialsMaster's or PhD in Mechanical Engineering, research experienceBachelor's or Master's in Mechanical Engineering, design portfolio
Work EnvironmentResearch labs, academic institutions, corporate R&DDesign studios, manufacturing firms, product development teams
Employer & Industry UsageUniversities, research institutes, R&D departmentsEngineering firms, manufacturing companies, tech startups
Common Search & ComparisonYesYes

The main difference between a Remote Research Scientist Mechanical Engineering and a Remote Mechanical Design Engineer lies in their focus. The research scientist emphasizes experimental research, developing new theories, and advancing knowledge in mechanical engineering. In contrast, the design engineer concentrates on creating practical mechanical designs, prototypes, and product development. Both roles may work remotely, but their core responsibilities and environments differ significantly.

More about Remote Research Scientist Mechanical Engineering jobs
What cities are hiring for Remote Research Scientist Mechanical Engineering jobs? Cities with the most Remote Research Scientist Mechanical Engineering job openings:
What are the most commonly searched types of Research Scientist Mechanical Engineering jobs? The most popular types of Research Scientist Mechanical Engineering jobs are:
What states have the most Remote Research Scientist Mechanical Engineering jobs? States with the most job openings for Remote Research Scientist Mechanical Engineering jobs include:
What job categories do people searching Remote Research Scientist Mechanical Engineering jobs look for? The top searched job categories for Remote Research Scientist Mechanical Engineering jobs are:
Infographic showing various Remote Research Scientist Mechanical Engineering job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $106,012 per year, or $51 per hour.

Research Scientist

MindSource

Seattle, WA • Remote

Contractor

This job post has expired today. Applications are no longer accepted.


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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