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3D Machine Learning Jobs in Idaho (NOW HIRING)

Sony

$50/hr

The generation and editing of video, sound, and 3D visual geometry (including 3D human motion ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

Sony

$50/hr

The generation and editing of video, sound, and 3D visual geometry (including 3D human motion ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

Sony

$50/hr

The generation and editing of video, sound, and 3D visual geometry (including 3D human motion ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

Sony

$50/hr

The generation and editing of video, sound, and 3D visual geometry (including 3D human motion ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

Sony

$50/hr

The generation and editing of video, sound, and 3D visual geometry (including 3D human motion ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

Sony

$50/hr

The generation and editing of video, sound, and 3D visual geometry (including 3D human motion ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

Sony

$50/hr

The generation and editing of video, sound, and 3D visual geometry (including 3D human motion ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

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3D Machine Learning information

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 Idaho?

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

What job categories do people searching 3D Machine Learning jobs in Idaho look for?

The top searched job categories for 3D Machine Learning jobs in Idaho are:

What cities in Idaho are hiring for 3D Machine Learning jobs?

Cities in Idaho with the most 3D Machine Learning job openings:

3D Machine Learning jobs near you

Nuclear Data Scientist

Idaho Falls, ID • On-site

Idaho National Laboratory
Scientific Research and Development Services • 5 - 10K employees
Learn more about Idaho National Laboratoryexternal

$66K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Idaho National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

17th of 121 rated laboratories

Job description


At Idaho National Laboratory, you'll analyze data and generate results across cloud, on-premises, and edge-based computational architectures, apply technologies including explainable AI, large language models, and physics-informed machine learning, and develop software including 3D visualization tools, parallel software, and web API solutions in support of research objectives. You'll work with domain experts to understand the scope of questions data can answer, design output metrics that describe system behavior, collaborate with government agencies, academia, and industry partners, and publish results in peer-reviewed journals and conference proceedings.
Essential Job Functions and Responsibilities:
  • Analyze data and generate results in response to data analytics, visualization, and modeling needs on a variety of computational architectures (cloud, on-premises, edge-based).
  • Apply advanced technologies, such as Explainable Artificial Intelligence/Machine Learning (AI/ML), Large Language Models (LLMs), physics-informed machine learning, systems performance analysis, and/or data sensor fusion methodologies.
  • Apply nuclear engineering domain knowledge to identify opportunities for machine learning and data-driven analysis within nuclear systems, operations, or research programs.
  • Support the development, validation, and interpretation of ML models and data pipelines in the context of nuclear applications.
  • Collaborate with data science teams to translate nuclear engineering requirements into analytical frameworks.
  • Assist in the evaluation of model outputs using nuclear domain expertise to ensure physical accuracy and operational relevance.
  • Contribute to technical documentation, reports, and presentations related to ML-assisted nuclear engineering efforts
  • Lead efforts in writing journal articles, conference proceedings, etc.
  • Ability to coherently present complex materials to a wide audience.
  • Work under general supervision on defined tasks with moderate complexity.

Required:
  • Level 1: Bachelor of Science degree in data science, engineering, mathematics, computer science, physics, autonomy, artificial intelligence, or related technical discipline.
  • Working familiarity with machine learning concepts, data analysis tools, or scientific computing (e.g., Python, R).
  • Ability to interpret and communicate data-driven results within a nuclear engineering context.
  • The ability to obtain and maintain a DOE level "Q" security clearance, which requires U.S. citizenship.

The ideal candidate will possess:
  • Experience with nuclear simulation codes (e.g., MCNP, SCALE, RELAP, MOOSE)
  • Exposure to supervised/unsupervised learning techniques or data visualization tools
  • Degree in Nuclear Engineering or related discipline

Physical Requirements:
While performing the duties of this classification, the employee is frequently required to stand, walk, sit, stoop, kneel, bend, use hands to handle materials, manipulate tools, keyboard and type, reach with hands and arms, and operate job related equipment. The employee must occasionally lift and/or move up to 25 pounds. Sufficient visual acuity and hearing capacity to perform the essential functions and interact with people is required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Job Information:
Idaho National Laboratory is hiring a Nuclear Data Scientist to work on our Computational Data Science team. Our team works a 9x80 schedule located out of our REC facility with every other Friday off.
  • The pay range for this position is $66,504 - $136,356. At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials.
  • TDP: This is a testing designated position; you will be required to submit to a pre-employment drug screen and periodic drug testing throughout the term of your employment.

About Us
Benefits and Relocation
  • Medical, Dental, Vision, and Flexible Spending Accounts
  • 401(k) with a 4.2% employer contribution and up to 4.8% match (regular positions) or self-contribute access (postdoctoral positions)
  • Paid time off (personal leave)
  • Employee Education Program (tuition assistance for eligible positions)
  • Comprehensive Relocation Package
  • Benefit eligibility subject to multiple factors, including employment status and position classification.

At this time, BEA will not sponsor any H1-B visas obtained outside of the United States of America (U.S.A.), including consular visas.
INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's mission in nuclear energy research, science, and national defense. With more than 6,300 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to change the world's energy future and secure our nation's critical infrastructure.
INL Mission:
Our mission is to discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure.
INL Vision:
Our vision is to change the world's energy future and secure our nation's critical infrastructure.
Selective Service Requirements:
To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). For more information see www.sss.gov.
Equal Employment Opportunity:
Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
Reasonable Accommodation:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Other Information:
When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration.
INL does not accept resumes from third party vendors unsolicited.

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About Idaho National Laboratory

Sourced by ZipRecruiter

Idaho National Laboratory is a leading multi-disciplinary national laboratory dedicated to supporting the U.S. Department of Energy's missions in nuclear and energy research, science, and national defence. Located in Idaho Falls, ID, US, it operates under the management of Battelle Energy Alliance. Since its inception in 1949, the lab has remained at the forefront of nuclear energy innovations and advancements, providing critical scientific and technological inputs to support national priorities. Guided by its commitment to excellence, innovative research, collaborative partnerships, and integrity, the lab continues to play a vital role in driving America's nuclear and energy future.

Industry

Scientific research and development services

Company size

5,001 - 10,000 Employees

Headquarters location

Idaho Falls, ID, US

Year founded

1949

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