Mechanical Engineer - Fully Remote | Upto 00/hr
Software Development
WFA Digital Insight
As remote work continues to dominate the digital landscape, the demand for skilled mechanical engineers with expertise in scientific software libraries has skyrocketed. With a growing number of companies investing in AI research, the need for professionals who can design and develop complex computational problems has increased by over 25% in the past year. mercor, a leading company in this space, is now looking for a talented Mechanical Engineer to join their team. With a competitive hourly rate and the flexibility to work from anywhere, this role is perfect for those who value work-life balance and are eager to contribute to cutting-edge projects.
Job Description
About the Role
Mercor is seeking a highly skilled Mechanical Engineer to join their team of elite professionals. As a Mechanical Engineer at mercor, you will be responsible for designing graduate-level computational problems using domain-specific scientific software libraries. Your expertise will be utilized to develop problems that require strategic reasoning to uncover hidden information through queries or experiments. You will be working independently in a Linux/terminal environment with remote compute sandboxes and collaborating asynchronously to improve AI model performance and problem-solving strategies.The role is expected to take up 15-20 hours per week, and you will be compensated with an hourly rate of $70-
00. If you are a self-motivated individual with a strong background in mechanical engineering and a passion for working with scientific software libraries, this could be the perfect opportunity for you.Mercor is a company that connects talented professionals with leading AI research labs, and they are committed to providing a platform for individuals to grow and develop their skills. With a team of experienced professionals and a dynamic work environment, mercor is the ideal place to take your career to the next level.
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 implement new methods for problem-solving and design
- Stay up-to-date with the latest developments in scientific software libraries and AI research
- Participate in the development of new projects and contribute to the growth of the company
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 computational reproducibility and containerized environments
- Excellent problem-solving skills and attention to detail
- Strong communication skills and the ability to work collaboratively
Nice to Have
- Experience across multiple listed domains or tools
- Familiarity with benchmark or evaluation design
- Background in scientific pedagogy or exam/problem-set design
- Experience with AI model development and deployment
Benefits and Perks
- Competitive hourly rate of $70-00
- Flexible working hours and remote work options
- Opportunity to work with leading AI research labs and contribute to cutting-edge projects
- Collaborative and dynamic work environment
- Professional development opportunities and support for ongoing education
- Access to the latest tools and technologies
- Recognition and reward for outstanding performance
How to Stand Out
- Ensure you have a strong portfolio that showcases your experience with scientific software libraries and mechanical engineering projects.
- Develop a deep understanding of the company's products and services, and be prepared to discuss how your skills and experience align with their needs.
- Familiarize yourself with the latest developments in AI research and scientific software libraries, and be prepared to discuss your thoughts on the future of the industry.
- Practice your problem-solving skills and be prepared to complete a coding challenge or design exercise as part of the interview process.
- Be prepared to discuss your experience working independently and collaboratively, and how you handle feedback and criticism.
- Research the company culture and values, and be prepared to discuss how you would contribute to the team and support the company's mission.
- Consider negotiating your hourly rate based on your experience and qualifications, and be prepared to discuss your expectations and requirements.
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
As remote work continues to dominate the digital landscape, the demand for skilled mechanical engineers with expertise in scientific software libraries has skyrocketed. With a growing number of companies investing in AI research, the need for professionals who can design and develop complex computational problems has increased by over 25% in the past year. mercor, a leading company in this space, is now looking for a talented Mechanical Engineer to join their team. With a competitive hourly rate and the flexibility to work from anywhere, this role is perfect for those who value work-life balance and are eager to contribute to cutting-edge projects.
Job Description
About the Role
Mercor is seeking a highly skilled Mechanical Engineer to join their team of elite professionals. As a Mechanical Engineer at mercor, you will be responsible for designing graduate-level computational problems using domain-specific scientific software libraries. Your expertise will be utilized to develop problems that require strategic reasoning to uncover hidden information through queries or experiments. You will be working independently in a Linux/terminal environment with remote compute sandboxes and collaborating asynchronously to improve AI model performance and problem-solving strategies.The role is expected to take up 15-20 hours per week, and you will be compensated with an hourly rate of $70-
Mercor is a company that connects talented professionals with leading AI research labs, and they are committed to providing a platform for individuals to grow and develop their skills. With a team of experienced professionals and a dynamic work environment, mercor is the ideal place to take your career to the next level.
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 implement new methods for problem-solving and design
- Stay up-to-date with the latest developments in scientific software libraries and AI research
- Participate in the development of new projects and contribute to the growth of the company
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 computational reproducibility and containerized environments
- Excellent problem-solving skills and attention to detail
- Strong communication skills and the ability to work collaboratively
Nice to Have
- Experience across multiple listed domains or tools
- Familiarity with benchmark or evaluation design
- Background in scientific pedagogy or exam/problem-set design
- Experience with AI model development and deployment
Benefits and Perks
- Competitive hourly rate of $70-00
- Flexible working hours and remote work options
- Opportunity to work with leading AI research labs and contribute to cutting-edge projects
- Collaborative and dynamic work environment
- Professional development opportunities and support for ongoing education
- Access to the latest tools and technologies
- Recognition and reward for outstanding performance
How to Stand Out
- Ensure you have a strong portfolio that showcases your experience with scientific software libraries and mechanical engineering projects.
- Develop a deep understanding of the company's products and services, and be prepared to discuss how your skills and experience align with their needs.
- Familiarize yourself with the latest developments in AI research and scientific software libraries, and be prepared to discuss your thoughts on the future of the industry.
- Practice your problem-solving skills and be prepared to complete a coding challenge or design exercise as part of the interview process.
- Be prepared to discuss your experience working independently and collaboratively, and how you handle feedback and criticism.
- Research the company culture and values, and be prepared to discuss how you would contribute to the team and support the company's mission.
- Consider negotiating your hourly rate based on your experience and qualifications, and be prepared to discuss your expectations and requirements.
This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.