AI Research Engineer Intern
5 days ago
FixtureLabs offers an innovative AI-powered practice platform for mechanical engineering graduates to gain verified work experience through daily challenges in CAD, First Principles thinking, DFM, and FEA. The platform helps engineering professionals build a portfolio that showcases their capabilities to recruiters, providing a solution to the experience catch-22 faced by many entry-level engineers.
Role Description
This is a research-focused internship for a Mechanical Research Engineer at FixtureLabs. You’ll help advance our proprietary CAD Comparator—the engine that verifies student models against ground truth—by developing and validating geometry- and drawing-aware algorithms. The work is math-intensive and ideal for someone with strong critical thinking, a mechanical engineering foundation, and a love for turning theory into robust tools.
You will:
- Develop Python pipelines, unit tests, and benchmarks; profile and harden edge cases (fillet chains, tiny features, near-coincident geometry).
- Improve feature extraction and matching across CAD files and technical drawings (holes, fillets, GD&T, threads, tolerances, assemblies).
Qualifications
Required
- BS or MS in Computer Science Engineering (or Mechanical).
- Strong math: linear algebra, multivariable calculus, numerical methods, optimization, probability and statistics.
- Programming in Python (NumPy, SciPy, pandas), unit testing, Git, clear code reviews.
- First-principles problem solving, careful reasoning, clear written communication.
Preferred
- Experience with OpenCascade or FreeCAD, or a major CAD API (SolidWorks API, Onshape API).
- 3D geometry or vision tools: Open3D, OpenCV, PCL; basic meshing and FEA prechecks.
- Light ML for clustering or anomaly detection (scikit-learn), basic optimization tuning.
- Dev tooling: Jupyter, Docker, simple CI, profiling.
- Portfolio or GitHub with CAD or geometry projects, small research writeups, or technical blogs.
Stipend - Rs 25,000 - 30,000/month
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