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Geometric Modeling Jobs in Massachusetts (NOW HIRING)

Math 3 Tutor

Boston, MA · Remote

$40/hr

Guides students through modeling periodic phenomena, analyzing rational function behavior, performing statistical inference with confidence intervals, and solving geometric design problems.

Math 3 Tutor

Quincy, MA · Remote

$40/hr

Guides students through modeling periodic phenomena, analyzing rational function behavior, performing statistical inference with confidence intervals, and solving geometric design problems.

Guides students through modeling periodic phenomena, analyzing rational function behavior, performing statistical inference with confidence intervals, and solving geometric design problems.

Math 3 Tutor

Lawrence, MA · Remote

$40/hr

Guides students through modeling periodic phenomena, analyzing rational function behavior, performing statistical inference with confidence intervals, and solving geometric design problems.

Math 3 Tutor

Lowell, MA · Remote

$40/hr

Guides students through modeling periodic phenomena, analyzing rational function behavior, performing statistical inference with confidence intervals, and solving geometric design problems.

Math 3 Tutor

Newton, MA · Remote

$40/hr

Guides students through modeling periodic phenomena, analyzing rational function behavior, performing statistical inference with confidence intervals, and solving geometric design problems.

Math 3 Tutor

Waltham, MA · Remote

$40/hr

Guides students through modeling periodic phenomena, analyzing rational function behavior, performing statistical inference with confidence intervals, and solving geometric design problems.

Guides students through modeling periodic phenomena, analyzing rational function behavior, performing statistical inference with confidence intervals, and solving geometric design problems.

Math 3 Tutor

Lynn, MA · Remote

$40/hr

Guides students through modeling periodic phenomena, analyzing rational function behavior, performing statistical inference with confidence intervals, and solving geometric design problems.

Guides students through modeling periodic phenomena, analyzing rational function behavior, performing statistical inference with confidence intervals, and solving geometric design problems.

Architect I

Boston, MA · On-site

$103K - $125K/yr

Creating detailed 3D architectural models that include both geometric and non-geometric data to support design visualization, spatial analysis, and performance evaluation early in the project ...

Geometric Feature Analysis: Analyze native 3D CAD models to identify complex geometric topologies, specific features (such as deep pockets, complex threads, thin walls), and GD&T annotations to ...

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Geometric Modeling information

What is geometric modeling?

Geometric modeling is the mathematical and computational process of representing the shape and structure of objects in two or three dimensions. This field is widely used in computer-aided design (CAD), computer graphics, animation, engineering, and architecture. Geometric modeling involves creating and manipulating digital models using points, lines, curves, surfaces, and solids, allowing for visualization, simulation, and fabrication of real-world objects. Professionals in this area use specialized software to design complex structures, analyze their properties, and prepare them for manufacturing or virtual rendering.

What are the key skills and qualifications needed to thrive as a geometric modeling specialist?

To thrive as a Geometric Modeling Specialist, you need strong mathematical proficiency, spatial reasoning, and experience with 3D modeling, often supported by a degree in computer science, engineering, or a related field. Familiarity with CAD software, 3D modeling tools (such as Blender, Maya, or SolidWorks), and programming languages like Python or C++ is typically required. Attention to detail, creativity, and effective problem-solving skills are crucial soft skills for this role. These abilities ensure the accurate creation and manipulation of complex models essential for product design, animation, simulation, and engineering applications.

What are some typical challenges faced by geometric modeling professionals in a collaborative project environment?

Geometric modeling professionals often work as part of multidisciplinary teams, collaborating closely with engineers, designers, and software developers. A common challenge is ensuring that complex models meet both aesthetic and functional requirements, while staying compatible with different software platforms used by the team. Clear communication and iterative feedback are essential to resolve discrepancies and maintain model integrity throughout the project lifecycle. Balancing technical accuracy with project deadlines is also a frequent aspect of the role.

What is the difference between Geometric Modeling vs CAD Designer?

AspectGeometric ModelingCAD Designer
CredentialsKnowledge of geometry, CAD software, and 3D modelingSimilar, often requires CAD software proficiency and technical drawing skills
Work EnvironmentDesign studios, engineering firms, manufacturingArchitectural firms, engineering companies, manufacturing
Industry UsageUsed in product design, animation, simulationUsed in drafting, technical drawings, project planning
Search & Comparison IntentFocus on 3D modeling techniques and softwareFocus on technical drafting and design documentation

While both roles involve design and technical skills, Geometric Modeling primarily focuses on creating 3D models and shapes, often for engineering or animation purposes. CAD Designers concentrate on technical drawings and detailed plans used for manufacturing or construction. Understanding these differences helps in choosing the right career path or job search focus.

What job categories do people searching Geometric Modeling jobs in Massachusetts look for?

The top searched job categories for Geometric Modeling jobs in Massachusetts are:

Infographic showing various Geometric Modeling job openings in Massachusetts as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

Postdoctoral Fellow in Geometric Machine Learning

Cambridge, MA • On-site

Harvard University
Colleges, Universities, and Professional Schools • 51 - 200 employees

$67K - $91K/yr

Full-time

Re-posted yesterday


Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz


Job description

Position
Details
Title
Postdoctoral Fellow in Geometric Machine Learning
School
Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area
Applied Math
Position Description
A postdoctoral position is available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research at the intersection of Geometry and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences.
This is a one-year position with the possibility of extension.
For more details on our research and recent publications, see the Geometric Machine Learning Group's website: https://weber.seas.harvard.edu
For questions, please email mweber@seas.harvard.edu .
Applications will be reviewed on a rolling basis.
Basic Qualifications
A Ph.D. in Mathematics, Computer Science, or a related field, by the start of the appointment.
Additional Qualifications
Special Instructions
To apply, please submit the following materials:
  1. CV
  2. Research Statement outlining your current and future research interests
  3. Three Reference Letters
  4. Copies of two publications representative of your work and research interest

SEAS is dedicated to building a diverse and welcoming community.
Contact Information
For more details on our research and recent publications, see the Geometric Machine Learning Group's website: https://weber.seas.harvard.edu
Contact Email
mweber@seas.harvard.edu
Salary Range
$67,600 - $91,826
Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field.
Minimum Number of References Required
3
Maximum Number of References Allowed
3
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