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

Experience with 3D CAD software such as SolidWorks or Creo * Experience with analyzing and ... Familiar with AI/ML, server, storage, network, machine learning systems About Meta: Meta builds ...

... learning and constant innovation. Job Summary We are looking for a Staff Digital Twin Engineer to ... digital twin, machine behavior modeling and interactive 3D experiences. This role combines ...

... learning and constant innovation. Job Summary We are looking for a Staff Digital Twin Engineer to ... digital twin, machine behavior modeling and interactive 3D experiences. This role combines ...

... generation machine learning ASICs As a member of our hardware team, you will have a meaningful ... Additional experience with die capacitors, SOC power, and 3D/2.5D EMIR simulation tools would be ...

Principal Graphics Developer Tools Engineer

Austin, TX · On-site

$138K - $171K/yr

Experience applying machine learning or generative AI techniques to software development workflows ... If you're highly technical and enthusiastic about 3D Graphics, we want to hear from you! For two ...

Civil Engineer

Austin, TX · Hybrid

$45 - $60/hr

... and Machine Learning Engineers, and partner with municipalities, transportation authorities ... AutoCAD, Civil 3D, BIM, or similar engineering software -Understanding of codes, standards ...

Civil Engineer

Austin, TX · On-site

$45 - $60/hr

... and Machine Learning Engineers, and partner with municipalities, transportation authorities ... AutoCAD, Civil 3D, BIM, or similar engineering software -Understanding of codes, standards ...

Staff Perception Hardware Engineer

Austin, TX · On-site

$122K - $161K/yr

... machine learning models and the low-latency needs of human teleoperators. * High-Speed Bring-up ... Mastery of the linear algebra and 3D geometry underlying multi-camera arrays, stereo baselines, and ...

Showing results 21-40

3D Machine Learning information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

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

As of Aug 18, 2026, the average yearly pay for 3d machine learning in Austin, TX is $42,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 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 are popular job titles related to 3D Machine Learning jobs in Austin, TX?

For 3D Machine Learning jobs in Austin, TX, the most frequently searched job titles are:

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

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

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

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

Infographic showing various 3D Machine Learning job openings in Austin, TX as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $42,209 per year, or $20.3 per hour.

Mechanical Engineer, Infrastructure

Meta

Austin, TX

$118K/yr

Full-time

Posted 13 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies


Job description

This is a full-time position within the Mechanical Engineering group The Infra Mechanical Engineering group supports all the product teams, such as AI/ML, servers, storage, networking, Rack&Power and data centers. Each product team is responsible for building a specific piece of the infrastructure to connect people across the world. Meta supports this effort through the Open Compute Project (OCP). This is a unique opportunity to join our team and help us build the world’s most open and efficient connection platforms.
Mechanical Engineer, Infrastructure Responsibilities:
  • Specifications, design, prototyping, and testing of devices and products for AI/ML, server, storage, network systems, or Rack & Power, for use in communication devices and data centers
  • Work closely with the TPM, hardware, thermal, software, supply chain and outside partner teams to ensure that project goals and schedules are met
  • Validate product performance against requirements from many internal customers using design and simulation tools
  • Perform part and assembly-level tolerance analysis, motion, and performance studies
  • Quickly iterate through various design concepts, bringing them to life via fast prototypes that can be fabricated with assistance from our prototyping lab
  • Create test plans, design test equipment, and undertake testing procedures to verify design performance
  • Create documentation and specifications suitable for prototyping, quoting, and production
  • Work with contract manufacturing partners through the design-for-manufacturing process and engineering verification stages required to move the product from prototype to production
  • Support our manufacturing partners by working on-site with their overseas design and manufacturing teams

Minimum Qualifications:
  • Bachelor’s degree in mechanical or mechatronic engineering or equivalent industry experience
  • 3+ years of experience in designing and shipping volume commercial products
  • Experience with 3D CAD software such as SolidWorks or Creo
  • Experience with analyzing and resolving issues cross-functionally
  • Communication and documentation experience

Preferred Qualifications:
  • Experience designing sheetmetal enclosures
  • Experience with detailed tolerance analysis of complex assemblies
  • Experience designing plastic, die cast, extruded, and machined parts
  • Experience optimizing product designs using FEA and CFD for shock and vibration, thermal, and certification performance
  • 5+ years of experience in designing and shipping data center system equipment
  • Experience with a variety of electronic interconnections and their various performance pros and cons
  • Experience with environmental qualification testing and industry qualification testing
  • Experience with owning a complete hardware system as a mechanical engineering lead
  • End-to-end experience from concept creation to deployment of a product
  • Familiar with AI/ML, server, storage, network, machine learning systems

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$118,000/year to $170,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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