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3D Machine Learning Jobs in Spring, TX (NOW HIRING)

Aerospace Engineer

Houston, TX · On-site

$86K - $198K/yr

Experience programming in Python or C++ and with CAD and 3D modeling software such as Solidworks or ... Experience applying machine learning (ML) to solve engineering problems with modern ML frameworks ...

Aerospace Engineer

Houston, TX · On-site +1

$86K - $198K/yr

Experience programming in Python or C++ and with CAD and 3D modeling software such as Solidworks or ... Experience applying machine learning (ML) to solve engineering problems with modern ML frameworks ...

Experience programming in Python or C++ and with CAD and 3D modeling software such as Solidworks or ... Experience applying machine learning (ML) to solve engineering problems with modern ML frameworks ...

Create fully parametric 3D CAD models of mechanical parts and assemblies using SolidWorks based on ... CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ...

Maker Space Technician (Part-time) Staff Pool

Houston, TX · On-site

$15.75 - $20.50/hr

... learning opportunities. The Team Play a central role at HCC as you keep our everyday operations ... machines including laser cutting systems, 3D printers, CNC routers, plasma cutters, vinyl cutters ...

Assembly Technician

Sugar Land, TX · On-site

$22 - $28/hr

... 3D computer aided design (CAD) software, and on-site manual and CNC machines, make us a one-stop ... You are committed to learning our extensive product line, from what these products do to ...

... 3D CAD software, and on-site manual and computer-aided machines, we are a one-stop-shop for ... You are committed to learning our extensive product line, from what these products do to ...

... 3D computer aided design (CAD) software, and on-site manual and CNC machines, make us a one-stop ... You are committed to learning our extensive product line, from what these products do to ...

Assembly Technician

Sugar Land, TX · On-site

$22 - $28/hr

... 3D computer aided design (CAD) software, and on-site manual and CNC machines, make us a one-stop ... You are committed to learning our extensive product line, from what these products do to ...

... 3D CAD software, and on-site manual and computer-aided machines, we are a one-stop-shop for ... You are committed to learning our extensive product line, from what these products do to ...

... 3D CAD software, and on-site manual and computer-aided machines, we are a one-stop-shop for ... You are committed to learning our extensive product line, from what these products do to ...

Dental assistant

Tomball, TX · On-site

$18 - $25/hr

Our team values compassion, professionalism, and continuous learning, ensuring our patients receive ... X-ray machines and 3D scanners to capture accurate diagnostic images Manage electronic health ...

Veterinary Cardiologist

Houston, TX · On-site

$338K - $382K/yr

Our 60,000 sq-ft hospital has two dedicated Philips echo machines including a EPIQ CVx which is 3D ... learning, teaching, and discovery. Here, mentorship is a two-way street. You'll share your ...

Showing results 41-60

3D Machine Learning information

See Spring, TX salary details

$22.7K

$37.9K

$78.3K

How much do 3d machine learning jobs pay per year?

As of Sep 3, 2026, the average yearly pay for 3d machine learning in Spring, TX is $37,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,900.00 and $40,900.00 per year, depending on experience, location, and employer.

What is 3d machine learning?

3D machine learning is a field of artificial intelligence focused on developing algorithms and models that can process and understand three-dimensional data. This includes tasks such as object recognition, scene reconstruction, segmentation, and analysis using 3D data formats like point clouds, meshes, or volumetric grids. Applications of 3D machine learning are found in areas like autonomous driving, robotics, medical imaging, and augmented reality. The field combines techniques from computer vision, deep learning, and geometry processing to interpret complex spatial information.

What are the key skills and qualifications needed to thrive as a 3d machine learning engineer, and why are they important?

To thrive as a 3D Machine Learning Engineer, you need a solid background in computer science, mathematics, and experience with 3D data processing and machine learning algorithms, typically supported by a relevant degree. Expertise in tools and frameworks like Python, PyTorch or TensorFlow, and libraries such as Open3D or PCL is commonly required, along with familiarity with 3D data formats. Strong problem-solving skills, creativity, and effective communication set top performers apart in this role. These skills enable the development of innovative solutions for complex 3D data challenges, which are crucial for advancements in fields like robotics, computer vision, and AR/VR.

What are some common challenges faced by professionals working in 3d machine learning, and how can they be addressed?

Professionals in 3D machine learning often encounter challenges such as handling large and complex datasets, managing high computational requirements, and ensuring model robustness across diverse 3D data types (e.g., point clouds, meshes, voxel grids). Addressing these challenges typically involves using efficient data preprocessing pipelines, leveraging cloud computing or advanced GPU resources, and staying updated with the latest research on 3D data augmentation and model architectures. Collaboration with multidisciplinary teams—including data engineers, computer vision experts, and domain specialists—is also crucial for overcoming technical obstacles and producing practical, scalable solutions.

What is the difference between 3D Machine Learning vs 3D Computer Vision?

Aspect3D Machine Learning3D Computer Vision
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegree in Computer Vision, Computer Science, or related fields; experience with image processing
Work EnvironmentResearch labs, AI development teams, tech companiesImaging labs, robotics, autonomous vehicles, tech firms
Industry UsageDeveloping models for 3D data analysis, sensor data integrationProcessing 3D images, object detection, scene reconstruction

While 3D Machine Learning focuses on creating algorithms that learn from 3D data, 3D Computer Vision emphasizes interpreting and analyzing 3D visual information. Both fields often overlap but serve different primary objectives within AI and imaging applications.

What job categories do people searching 3D Machine Learning jobs in Spring, TX look for?

The top searched job categories for 3D Machine Learning jobs in Spring, TX are:

What cities near Spring, TX are hiring for 3D Machine Learning jobs?

Cities near Spring, TX with the most 3D Machine Learning job openings:

Infographic showing various 3D Machine Learning job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $37,895 per year, or $18.2 per hour.

$86K - $198K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 10 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants


Job description

Aerospace Engineer
The Opportunity:
We're looking for someone to join the Booz Allen Space Environments Modeling and Simulation (M&S) Team. The team supports clients by tackling the challenges of lunar dust contamination of spacecraft and other assets by modeling the complex interactions between dust particles, the space environment, and spacecraft. To do so, they develop and use advanced computational modeling tools and techniques. Join the team as they develop a comprehensive modeling and analysis framework on lunar surface programs to characterize the risks lunar dust poses to the success of a permanent human presence on the Moon.
As an Aerospace Engineer on the team, you will be responsible for development of advanced Computational Fluid Dynamics (CFD) based Plume-surface interaction (PSI) modeling capabilities, spanning continuum-rarefied plume flow fields, gas-granular coupling, erosion or cratering physics, and ejecta transport. As a senior engineer, you will architect and implement computational approaches, guide V&V strategy, integrate PSI predictions into customer lunar architecture decisions, and mentor junior staff.
If you want to solve real-world challenges and lead mission-critical engineering related to humanity's return to the Moon, there's a place for you here. At Booz Allen, you'll make a difference with us, and, in return, we'll invest in your future. This position is located in Houston, TX.
Join us. The world can't wait.
You Have:
  • 6+ years of experience with modeling and simulation involving rarefied gas dynamics, computational fluid dynamics (CFD) for compressible, high-speed, chemically reacting flows, and direct simulation Monte Carlo (DSMC)
  • Experience developing granular flow simulation frameworks with preferred applications to plume-surface interactions (PSI)
  • Experience developing and maintaining software to implement analytical and computational models
  • Experience programming in Python or C++ and with CAD and 3D modeling software such as Solidworks or NX
  • Experience with data processing and statistical techniques
  • Experience with FEA, CFD, or tools such as STAR-CCM+, Ansys Mechanical, Ansys Thermal Desktop, or Loci-Chem
  • Experience writing technical documentation or scientific publications
  • Knowledge of modeling chemically reacting flows
  • Ability to take ownership of assigned tasks, work in both a team and independent environment, and to communicate effectively with clients and stakeholders
  • Master's degree in Physics, Mechanical Engineering, Aerospace Engineering, Chemical Engineering, Computer Science, Applied Mathematics, or Computational Physics

Nice If You Have:
  • Experience implementing PSI capabilities or contributing to HLS or CLPS analyses
  • Experience with NASA or MSFC validation datasets and toolchain
  • Experience with PSI toolchain components, including Loci/CHEM, Loci/CHEM-Boltzmann, Loci/GGFS, DIGGEM, DTA, FUN3D, and OpenFOAM variants relevant to PSI
  • Experience with modeling and simulation with discrete element method (DEM) and granular flow physics using DEM frameworks such as LAMMPS or CFDEMcoupling
  • Experience with modeling plasma and dust-plasma coupling
  • Experience applying machine learning (ML) to solve engineering problems with modern ML frameworks such as PyTorch or Tensorflow
  • Experience developing simulations using NVIDIA Warp and CUDA Python and working with Linux environments
  • Experience producing original research and publications in CFD, PSI, or multiphase or rarefied gas dynamics
  • Experience working with U.S. government clients such as NASA
  • Doctorate degree in Aerospace or Mechanical Engineering or a related field

Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,900.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914