Mechanical Engineer - Fully Remote | Upto 00/hr
Software Development
WFA Digital Insight
The demand for skilled mechanical engineers with expertise in AI and computational design has skyrocketed, with a 25% increase in job postings over the past year. As companies like mercor continue to push the boundaries of innovation, the need for professionals who can bridge the gap between technical expertise and strategic thinking has never been more pressing. With the rise of remote work, opportunities for collaboration and knowledge-sharing have expanded, making it an exciting time for mechanical engineers to take their careers to the next level. Before applying, candidates should be prepared to showcase their proficiency in scientific software libraries and strong Python programming skills, as well as their ability to work independently and iterate on problem designs.
Job Description
About the Role
As a Mechanical Engineer at mercor, you will be part of a team that is revolutionizing the way we approach computational design and AI-driven problem-solving. Your day-to-day work will involve designing graduate-level computational problems using domain-specific scientific software libraries, developing problems that require strategic reasoning to uncover hidden information, and calibrating tasks against state-of-the-art AI models. You will be working independently in a Linux/terminal environment with remote compute sandboxes, and collaborating asynchronously with the team to improve AI model performance and problem-solving strategies.The role entails a deep understanding of structural and mechanical engineering principles, as well as proficiency in scientific software libraries such as scikit-fem. You will be responsible for utilizing these tools to design and develop computational problems that can be used to train and evaluate AI models. The team at mercor is committed to pushing the boundaries of innovation, and as a Mechanical Engineer, you will be at the forefront of this effort.
What You Will Do
- Design graduate-level computational problems using domain-specific scientific software libraries
- Develop problems that require strategic reasoning to uncover hidden information through queries or experiments
- Calibrate tasks against state-of-the-art AI models and refine designs to achieve target difficulty
- Utilize scikit-fem or similar finite element libraries for tasks in Structural & Mechanical Engineering
- Work independently in a Linux/terminal environment with remote compute sandboxes
- Collaborate asynchronously to improve AI model performance and problem-solving strategies
- Develop and maintain a deep understanding of AI model performance and problem-solving strategies
- Design and develop computational problems that can be used to train and evaluate AI models
- Stay up-to-date with the latest developments in computational design and AI-driven problem-solving
What We Are Looking For
- Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience)
- Proficiency with at least one listed scientific software library
- Strong Python programming skills
- Ability to work independently and iterate on problem designs
- Comfortable in a Linux/terminal environment
- Experience with benchmark or evaluation design
- Background in scientific pedagogy or exam/problem-set design
- Experience with computational reproducibility and containerized environments
- Strong understanding of structural and mechanical engineering principles
Nice to Have
- Experience across multiple listed domains or tools
- Familiarity with multiple scientific software libraries
- Background in AI model development or training
- Experience with cloud-based computing environments
- Certification in computational design or AI-driven problem-solving
Benefits and Perks
- Competitive hourly rate of $70-00/hour
- Opportunity to work with a cutting-edge company at the forefront of innovation
- Collaborative and dynamic work environment
- Flexible work arrangements, including remote work options
- Professional development opportunities, including training and education support
- Access to the latest tools and technologies in computational design and AI-driven problem-solving
- Health and wellness benefits, including mental health support and employee assistance programs
- Generous PTO and holiday package
- Remote stipend and home office setup support
How to Stand Out
- Make sure to highlight your proficiency in scientific software libraries and strong Python programming skills in your application.
- Be prepared to showcase your ability to work independently and iterate on problem designs, as well as your understanding of AI model performance and problem-solving strategies.
- Consider including examples of your experience with benchmark or evaluation design, as well as your background in scientific pedagogy or exam/problem-set design.
- Familiarize yourself with the company culture and values, and be prepared to discuss how your skills and experience align with the company's mission and goals.
- Don't be afraid to ask questions during the application process, and be sure to follow up with the hiring team to express your interest in the role and inquire about the status of your application.
- Be prepared to provide examples of your experience working in a Linux/terminal environment and with remote compute sandboxes.
- Show enthusiasm and interest in the company's innovative approach to computational design and AI-driven problem-solving.
This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.
WFA Digital Insight
The demand for skilled mechanical engineers with expertise in AI and computational design has skyrocketed, with a 25% increase in job postings over the past year. As companies like mercor continue to push the boundaries of innovation, the need for professionals who can bridge the gap between technical expertise and strategic thinking has never been more pressing. With the rise of remote work, opportunities for collaboration and knowledge-sharing have expanded, making it an exciting time for mechanical engineers to take their careers to the next level. Before applying, candidates should be prepared to showcase their proficiency in scientific software libraries and strong Python programming skills, as well as their ability to work independently and iterate on problem designs.
Job Description
About the Role
As a Mechanical Engineer at mercor, you will be part of a team that is revolutionizing the way we approach computational design and AI-driven problem-solving. Your day-to-day work will involve designing graduate-level computational problems using domain-specific scientific software libraries, developing problems that require strategic reasoning to uncover hidden information, and calibrating tasks against state-of-the-art AI models. You will be working independently in a Linux/terminal environment with remote compute sandboxes, and collaborating asynchronously with the team to improve AI model performance and problem-solving strategies.The role entails a deep understanding of structural and mechanical engineering principles, as well as proficiency in scientific software libraries such as scikit-fem. You will be responsible for utilizing these tools to design and develop computational problems that can be used to train and evaluate AI models. The team at mercor is committed to pushing the boundaries of innovation, and as a Mechanical Engineer, you will be at the forefront of this effort.
What You Will Do
- Design graduate-level computational problems using domain-specific scientific software libraries
- Develop problems that require strategic reasoning to uncover hidden information through queries or experiments
- Calibrate tasks against state-of-the-art AI models and refine designs to achieve target difficulty
- Utilize scikit-fem or similar finite element libraries for tasks in Structural & Mechanical Engineering
- Work independently in a Linux/terminal environment with remote compute sandboxes
- Collaborate asynchronously to improve AI model performance and problem-solving strategies
- Develop and maintain a deep understanding of AI model performance and problem-solving strategies
- Design and develop computational problems that can be used to train and evaluate AI models
- Stay up-to-date with the latest developments in computational design and AI-driven problem-solving
What We Are Looking For
- Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience)
- Proficiency with at least one listed scientific software library
- Strong Python programming skills
- Ability to work independently and iterate on problem designs
- Comfortable in a Linux/terminal environment
- Experience with benchmark or evaluation design
- Background in scientific pedagogy or exam/problem-set design
- Experience with computational reproducibility and containerized environments
- Strong understanding of structural and mechanical engineering principles
Nice to Have
- Experience across multiple listed domains or tools
- Familiarity with multiple scientific software libraries
- Background in AI model development or training
- Experience with cloud-based computing environments
- Certification in computational design or AI-driven problem-solving
Benefits and Perks
- Competitive hourly rate of $70-00/hour
- Opportunity to work with a cutting-edge company at the forefront of innovation
- Collaborative and dynamic work environment
- Flexible work arrangements, including remote work options
- Professional development opportunities, including training and education support
- Access to the latest tools and technologies in computational design and AI-driven problem-solving
- Health and wellness benefits, including mental health support and employee assistance programs
- Generous PTO and holiday package
- Remote stipend and home office setup support
How to Stand Out
- Make sure to highlight your proficiency in scientific software libraries and strong Python programming skills in your application.
- Be prepared to showcase your ability to work independently and iterate on problem designs, as well as your understanding of AI model performance and problem-solving strategies.
- Consider including examples of your experience with benchmark or evaluation design, as well as your background in scientific pedagogy or exam/problem-set design.
- Familiarize yourself with the company culture and values, and be prepared to discuss how your skills and experience align with the company's mission and goals.
- Don't be afraid to ask questions during the application process, and be sure to follow up with the hiring team to express your interest in the role and inquire about the status of your application.
- Be prepared to provide examples of your experience working in a Linux/terminal environment and with remote compute sandboxes.
- Show enthusiasm and interest in the company's innovative approach to computational design and AI-driven problem-solving.
This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.