Mechanical Engineer - Computational Scientific Software & Evaluation Design
Remote · Contratto
Sii il primo a candidarti
- Esperienza
- Qualsiasi
- Stipendio
- USD 70 – USD 100 / hour
- Aperture
- 1
- Pubblicato
- 1 settimana fa
- Work mode
- Lavoro da casa
- Istruzione
- MS, PhD, or equivalent research experience in a STEM domain
- Eligibility
- Graduate-level candidates in a relevant STEM field with strong Python and Linux skills.
- Resume
- Required to apply
Descrizione del lavoro
About The Job
Mercor is a platform connecting top-tier creative and technical professionals with leading AI research laboratories. Based in San Francisco, our company is backed by prominent investors including Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position Details
We are seeking a STEM Computational Scientific Software & Evaluation Design specialist with a focus on Structural & Mechanical Engineering. This is a contract role requiring 15–20 hours per week, fully remote, with a compensation range of $70–$100 per hour.
Role Responsibilities
- Develop graduate-level computational challenges utilizing domain-specific scientific software libraries.
- Create problems that necessitate strategic reasoning to uncover concealed information through queries or experimental designs.
- Calibrate designed tasks against advanced AI models and refine them to achieve specific difficulty levels.
- Employ libraries such as scikit-fem or equivalent finite element tools for Structural & Mechanical Engineering tasks.
- Operate autonomously within a Linux/terminal environment, utilizing remote compute sandboxes.
- Engage in asynchronous collaboration to enhance AI model performance and problem-solving methodologies.
Qualifications
Must-Have
- Completed graduate-level training in a relevant STEM field (e.g., MS, PhD, or equivalent research experience).
- Demonstrated proficiency with at least one specified scientific software library.
- Strong command of Python programming.
- Capacity to work independently and refine problem designs iteratively.
- Comfort and familiarity with a Linux/terminal operating system.
Preferred
- Experience across multiple relevant domains or tools.
- Prior experience with benchmark or evaluation design.
- A background in scientific pedagogy or the design of exams/problem sets.
- Experience with ensuring computational reproducibility and utilizing containerized environments.
Application Process
The application process is estimated to take 20–30 minutes and includes uploading your resume, completing an AI-driven interview based on your resume, and submitting the application form.
Resources & Support
For detailed information regarding the interview process and platform specifics, please visit: https://talent.docs.mercor.com/welcome. For any assistance or support, please contact support@mercor.com.
Note: Our team reviews applications daily. Completing the AI interview and application steps is crucial for consideration.