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Remote Research Scientist Mechanical Engineering Jobs

FAR.AI

$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 ...

JD Power

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

Research Scientist - Machine Learning

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 ...

Snorkel AI

Research Scientist

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

Digital Harbor Foundation

Research Scientist

Baltimore, MD · On-site +1

$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 ...

Digital Harbor Foundation

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 ...

Snorkel AI

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 ...

Committee for Children

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 ...

Committee for Children

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 ...

Scaled Cognition

Research Scientist

New York, NY · Remote

As a Research Scientist at Scaled Cognition you will: * Develop and implement novel, next ... Work closely with machine learning and product engineers to direct research toward strategic ...

Mercor

AI Research Scientist - PhD

San Francisco, CA · Remote

$55 - $80/hr

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

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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 1, 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 in Mechanical Engineering, and why are they important?

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 in 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 in 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:
Remote Research Scientist Mechanical Engineering jobs near you
Infographic showing various Remote Research Scientist Mechanical Engineering job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $106,012 per year, or $51 per hour.

Research Scientist

FAR.AI

On-site, Remote

$120K - $190K/yr

Full-time

Re-posted 8 days ago

Job description

About Us
FAR.AI is a non-profit AI research institute working to ensure advanced AI is safe and beneficial for everyone. Our mission is to facilitate breakthrough AI safety research, advance global understanding of AI risks and solutions, and foster a coordinated global response.
Since our founding in July 2022, we've grown to 40+ staff, published 40+ academic papers, and convened leading AI safety events. Our work is recognized globally, with publications at premier venues such as NeurIPS, ICML, and ICLR, and features in the Financial Times, Nature News and MIT Technology Review. We conduct pre-deployment testing on behalf of frontier developers such as OpenAI and independent evaluations for governments including the EU AI Office. We help steer and grow the AI safety field through developing research roadmaps with renowned researchers such as Yoshua Bengio; running FAR.Labs, an AI safety-focused co-working space in Berkeley housing 40 members; and supporting the community through targeted grants to technical researchers.
About FAR.Research
We explore promising research directions in AI safety and scale up only those showing a high potential for impact. Once the core research problems are solved, we work to scale them to a minimum viable prototype, demonstrating their validity to AI companies and governments to drive adoption.
We are aiming to rapidly grow our team in the following areas especially, at varying levels of seniority:
  • Evals and red-teaming: Conducting pre- and post-release adversarial evaluations of frontier models (e.g. Claude 4 Opus, ChatGPT Agent, GPT-5); developing novel attacks to support this work; and exploring new threat models (e.g. persuasion, tampering risks).
  • Infrastructure: Maintaining GPU compute infrastructure to support experiments with open-weight models and developing new tooling to allow our research teams to scale their fine-tuning and post-training workflows to frontier open-weight models.

We are also seeking more senior candidates in the following research areas:
  • Mitigating AI deception: Studying when lie detectors induce honesty or evasion, and developing model organisms for deception and sandbagging
  • Adversarial Robustness: Working to rigorously solve these security problems through building a science of security and robustness for AI, from demonstrating superhuman systems can be vulnerable, to scaling laws for robustness and jailbreaking constitutional classifiers
  • Mechanistic Interpretability: Finding issues with Sparse Autoencoders, probing deception using AmongUs, understanding learned planning in SokoBan and interpretable data attribution.

FAR.AI is one of the largest independent AI safety research institutes, and is rapidly growing with the goal of diversifying and deepening our research portfolio. We would welcome the opportunity to add new research directions if you are a senior researcher with a strong vision and would like to pitch us on it.
About the Role
We organize our team as Members of Technical Staff, with significant overlap between scientist and engineer roles. As a scientist, you will take ownership of and accelerate existing AI alignment research agendas. You can publish research findings broadly and engage with the AI alignment community. If you are an experienced research scientist, then we would be excited to incubate your agenda at FAR using our existing infrastructure and world-class team.
You will receive engineering mentorship via code review, pair programming and regular 1-to-1s. Alongside the engineers, you will be involved in develop scalable implementations of machine learning algorithms and using them to run scientific experiments,
You are encouraged to develop your research taste, proposing novel directions and joining a research pod which suits your interests. You are welcome to take time to study and to attend conferences free of charge. Our technical team is organized into research pods to enable continuity of organizational structure whilst each pod can pivot through varied research projects.
Beyond FAR.AI, you can work with national AI safety institutes, frontier model developers and top academics.
About You
We are excited by unconventional backgrounds. You may have the following:
  • New and under-explored AI alignment idea(s).
  • Experience leading and/or playing a senior role in research projects related to machine learning.
  • Ability to effectively communicate novel methods and solutions to both technical and non-technical audiences.
  • PhD or several years research experience in computer science, artificial intelligence, machine learning or statistics.
Logistics
If based in the USA or Singapore, you will be an employee of FAR.AI (501(c)(3) research non-profit / non-profit CLG). Outside the USA or Singapore, you will be employed via an EOR organisation on behalf of FAR.AI or as a contractor.
  • Location: Both remote and in-person (Berkeley, CA or Singapore) are possible. We sponsor visas for in-person employees, and can hire remotely in most countries.
  • Hours: Full-time (40 hours/week).
  • Compensation: $120,000-$190,000/year depending on experience and location. We will also pay for work-related travel and equipment expenses. We offer catered lunch and dinner at our offices in Berkeley.
  • Application process: A 72-minute programming assessment, two interviews with members of our technical staff, and a paid work trial lasting up to 1 week. If you are not available for a work trial we may be able to find alternative ways of testing your fit.

If you have any questions about the role, please do get in touch at talent@far.ai.
Otherwise, if you don't have questions, the best way to ensure a proper review of your skills and qualifications is by applying directly via the application form. Please don't email us to share your resume (it won't have any impact on our decision). Thank you!

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