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Ai Computer Science Jobs (NOW HIRING)

Atomic Machines

Generative AI CAD Engineer

Emeryville, CA · On-site +1

$210K - $260K/yr

About this role As a Generative AI CAD Engineer, you can shape our CAD/automation workflows by ... Experience with NURBS and B-Rep. * Bachelor's, Master's, or PhD degree in Computer Science, Machine ...

Atomic Machines

Generative AI CAD Engineer

Emeryville, CA · On-site

$210K - $260K/yr

About this role As a Generative AI CAD Engineer, you can shape our CAD/automation workflows by ... Experience with NURBS and B-Rep. * Bachelor's, Master's, or PhD degree in Computer Science, Machine ...

Meta

AI Research Scientist, Physical AI

New York, NY · On-site

$184K - $257K/yr

... Computer Science, Computer Engineering, relevant technical field, or equivalent practical ... AI, Computer Vision (3D), Machine Learning, relevant technical field, or equivalent practical ...

Adobe

Senior Computer Scientist

San Jose, CA · On-site

S., or PhD degree in Computer Science or a related field. * Experience with computer vision, computational photography, and/or modern AI applied to these fields. * An interest in applying your skills ...

Adobe, Inc.

Senior Computer Scientist

San Jose, CA · On-site

S., or PhD degree in Computer Science or a related field. * Experience with computer vision, computational photography, and/or modern AI applied to these fields. * An interest in applying your skills ...

Varsity Tutors

High School Computer Science Tutor

SD · Remote

$18 - $40/hr

... Computer Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

High School Computer Science Tutor

IL · Remote

$18 - $40/hr

... Computer Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

High School Computer Science Tutor

OH · Remote

$18 - $40/hr

... Computer Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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Ai Computer Science information

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$50.5K

$111.3K

$137.5K

How much do ai computer science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for ai computer science in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is AI in computer science?

AI, or Artificial Intelligence, in computer science refers to the simulation of human intelligence by machines, especially computer systems. It involves creating algorithms and software that allow computers to perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and language understanding. AI encompasses various subfields, including machine learning, natural language processing, robotics, and computer vision. The goal of AI is to build systems that can function autonomously and improve over time through experience.

What are the typical challenges faced when working on AI projects within a computer science team?

One common challenge in AI computer science roles is managing the balance between research and practical implementation. Teams often face difficulties with limited or imperfect datasets, ensuring models generalize well beyond training data, and integrating AI solutions into existing systems. Collaboration with data engineers, domain experts, and product managers is crucial to ensure the developed AI solutions align with business objectives and user needs. Additionally, staying updated with rapidly evolving AI technologies and addressing ethical considerations are ongoing parts of the role.

What are the key skills and qualifications needed to thrive as an AI computer scientist, and why are they important?

To thrive as an AI Computer Scientist, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree or higher qualifications. Proficiency in programming languages such as Python, experience with AI frameworks like TensorFlow or PyTorch, and familiarity with data analysis tools are essential. Critical thinking, creativity, and strong collaboration skills help drive innovation and effective problem-solving in cross-functional teams. These competencies are vital for developing advanced AI solutions and ensuring their successful real-world application.

What is the difference between Ai Computer Science vs Data Scientist?

AspectAi Computer ScienceData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fields; certifications in AI/MLBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentResearch labs, tech companies, AI startupsBusiness environments, analytics teams, tech firms
Industry UsageDeveloping AI algorithms, machine learning models, AI systemsAnalyzing data, building predictive models, data visualization

Ai Computer Science focuses on developing AI algorithms and systems, often requiring advanced technical skills in machine learning and programming. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles involve machine learning, Ai Computer Science is more research and development-oriented, whereas Data Scientists focus on applying data analysis techniques to solve business problems.

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Ai Computer Science jobs near you
Infographic showing various Ai Computer Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 75% Physical, 2% Hybrid, and 23% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Generative AI CAD Engineer

Atomic Machines

Emeryville, CA • On-site, Remote

$210K - $260K/yr

Full-time

Re-posted 29 days ago

Job description

Atomic Machines is ushering in a new era of micromanufacturing with its Matter Compiler™ technology platform. This platform enables new classes of micromachines to be designed and built by providing manufacturing processes and a materials library that are inaccessible to semiconductor manufacturing methods. It unlocks MEMS manufacturing not only for device classes that could never be produced by semiconductor methods, but also for entirely new categories. Furthermore, this digital platform is fully programmable in the way 3D printing is digital—but whereas 3D printing produces parts of a single material using a single process, the Matter Compiler™ technology platform is a multi-process, multi-material system: bits and raw materials go in, and complete, functional micromachines come out. The Atomic Machines team has also created an exciting first device—made possible only through the Matter Compiler™ technology platform—that we will be unveiling to the world soon.
Our offices are in Emeryville and Santa Clara, California.

About this role

As a Generative AI CAD Engineer, you can shape our CAD/automation workflows by developing generative and programmatic CAD pipelines that transform design specifications into manufacturable micro-device assemblies. You'll collaborate closely with our AI, Modeling & Simulation, and Design engineers to build systems that automatically explore, assemble, and optimize designs from a library of components. You will join a tight cross-functional team dedicated to pushing the limits of computational design.

This position is onsite in our Emeryville, CA office, with openness to an occasional work-from-home arrangement when needed.

When referring to the compensation band below, keep in mind that it can vary depending on the candidate's experience and level. This posting is not associated with a specific level, but it spans Junior, Senior, and Staff levels, i.e. L4 to L6. The level will be defined upon application. We actively encourage recent graduates, PhDs, and postdocs to apply. A strong research record can substitute for industry experience, and we will consider strong Junior candidates who are excited to grow into a leadership role.

What You'll Do:

  • Develop GenAI-driven workflows for CAD generation and automated design exploration.
  • Build CAD workflows that programmatically construct, modify, and evaluate 3D assemblies.
  • Create and maintain a library of parametric components for generative design exploration and training.
  • Curate and parse large sets of CAD models with product, manufacturing, and tolerance information into both standardized APIs and batchable datasets for training generative models.

What You'll Need:

Required

  • Knowledge of AI-based CAD generation, generative models for 3D geometry, or generative design algorithms, demonstrated through coursework, research, publications, or substantial projects.
  • Proficiency in interacting with CAD or geometry tooling via APIs (Python, Rust, or other relevant languages).
  • Familiarity with CAD interoperability standards (STEP, IGES, JT, GLTF, or similar).
  • Experience with NURBS and B-Rep.
  • Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Computational Design, Mechanical Engineering, Aerospace Engineering, Applied Math, or a related field. Recent graduates are welcome.

Nice to have

  • Strong background in programmatic CAD workflows or programmatic 3D geometry (e.g., with Onshape API, SolidWorks API, Fusion API, CadQuery, Build123d, FreeCAD, or similar).
  • Experience with CAD manipulation and parametrization, including scripting and automation.
  • Experience with geometric modeling kernels (e.g., OpenCascade, Parasolid).
  • Experience with implicit geometric representations (SDFs, neural fields, occupancy networks).
  • Experience with meshing, especially for simulation or manufacturing purposes.
  • Experience with Model-Based Definitions.
  • Experience with simulation-in-the-loop design, shape optimization, or topology optimization workflows.
  • Contributions to open-source CAD, geometry, or 3D ML libraries.

The compensation for this position also includes equity and benefits.

Salary Range
$210,000—$260,000 USD