Python-Savvy Mechanical Engineer for AI Projects

Mindrift; San Antonio (TX); On-site; USD 48,000 - 95,000; Full time

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. This project-based role involves designing computational engineering problems that require Python programming, running simulations, and verifying results with standard libraries such as NumPy and SciPy.

Tasks are 10–20 hours per week during active phases, with pay up to $69 per hour.

Qualifications

• Degree in Mechanical Engineering or related field.
• Python proficiency for numerical validation.
• 2+ years of professional experience: applied, research, or teaching experience is applicable.
• Understanding of practical engineering constraints and approximations.
• Strong written English (C1+).
• Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage

Responsibilities

• Design original computational engineering problems that simulate real engineering workflows.
• Create problems requiring Python programming to solve engineering calculations and simulations.
• Ensure problems are computationally intensive and require numerical methods or iterative solutions.
• Develop problems involving system design, optimization, and analysis.
• Base problems on real research challenges or practical applications from engineering practice.
• Verify solutions using Python with standard engineering libraries.
• Document problem statements clearly and provide verified correct answers

Skills

Python

Numerical methods

English proficiency

Education

Bachelor's degree in Mechanical Engineering

Tools

MATLAB

R

C

SQL

NumPy

Pandas

SciPy

Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. This project-based role involves designing computational engineering problems that require Python programming, running simulations, and verifying results with standard libraries such as NumPy and SciPy.

Tasks are 10–20 hours per week during active phases, with pay up to $69 per hour.