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From Home Ai Computer Science Jobs in California

Atomic Machines

Generative AI CAD Engineer

Emeryville, CA · On-site

$210K - $260K/yr

This position is onsite in our Emeryville, CA office, with openness to an occasional work-from-home ... 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 +1

$210K - $260K/yr

This position is onsite in our Emeryville, CA office, with openness to an occasional work-from-home ... 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 +1

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

This position is onsite in our Emeryville, CA office, with openness to an occasional work-from-home ... Experience with NURBS and B-Rep. * Bachelor's, Master's, or PhD degree in Computer Science, Machine ...

Adobe, Inc.

Computer Scientist

San Jose, CA · On-site

If you are passionate about photography and AI, and if you enjoy full-stack challenges - from ... S., or PhD degree in Computer Science or a related field. * Experience with computer vision ...

Adobe

Computer Scientist

San Jose, CA · On-site

If you are passionate about photography and AI, and if you enjoy full-stack challenges - from ... S., or PhD degree in Computer Science or a related field. * Experience with computer vision ...

Adobe

Senior Computer Scientist

San Jose, CA · On-site

If you are passionate about photography and AI, and if you enjoy full-stack challenges - from ... S., or PhD degree in Computer Science or a related field. * Experience with computer vision ...

Adobe, Inc.

Senior Computer Scientist

San Jose, CA · On-site

If you are passionate about photography and AI, and if you enjoy full-stack challenges - from ... S., or PhD degree in Computer Science or a related field. * Experience with computer vision ...

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From Home Ai Computer Science information

What is a from home AI computer science job?

A 'From Home AI Computer Science' job typically involves working remotely in the field of artificial intelligence (AI) and computer science. Responsibilities can include developing algorithms, building machine learning models, analyzing data, and creating AI-powered software or applications. These roles are highly technical and often require expertise in programming languages such as Python, as well as knowledge of AI frameworks and tools. Remote AI computer science jobs offer flexibility in work location and hours, making them attractive to those seeking work-life balance. Employers may range from tech startups to large corporations focusing on AI-driven products and services.

What are the key skills and qualifications needed to thrive as a from home AI computer scientist?

To thrive as a Remote AI Computer Scientist, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree or equivalent experience. Proficiency in programming languages such as Python, familiarity with frameworks like TensorFlow or PyTorch, and experience using cloud platforms are commonly required. Strong problem-solving abilities, self-motivation, and effective communication skills distinguish top performers in remote environments. These skills and qualities are essential for developing innovative AI solutions, collaborating across distributed teams, and ensuring project success from a remote setting.

How does working from home as an AI computer science professional impact collaboration and project management?

Remote AI Computer Science roles typically rely on digital collaboration tools such as Slack, Zoom, and project management platforms like Jira or Trello. While remote work offers flexibility, it also requires proactive communication and clear documentation to keep teams aligned. Regular virtual meetings, code reviews, and collaborative repositories are common practices to ensure team members stay connected and projects progress smoothly. Building strong digital communication habits is essential for success in this environment.

What is the difference between From Home Ai Computer Science vs Data Analyst?

AspectFrom Home Ai Computer ScienceData Analyst
Required CredentialsBachelor's in Computer Science, AI, or related fields; certifications in AI/MLBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentRemote, tech-focused, collaborative teamsRemote or on-site, business or research settings
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, consulting
Common Search/ComparisonFrom Home Ai Computer Science vs Data Analyst

From Home Ai Computer Science focuses on developing AI models, algorithms, and software solutions, often requiring programming and machine learning expertise. Data Analysts interpret data to provide insights, typically using statistical tools and visualization. While both roles involve working with data, AI Computer Science emphasizes creating intelligent systems, whereas Data Analysts focus on analyzing and reporting data to inform decisions.

What are the most commonly searched types of Ai Computer Science jobs in California?

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For From Home Ai Computer Science jobs in California, the most frequently searched job titles are:

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From Home Ai Computer Science jobs near you

Generative AI CAD Engineer

Atomic Machines

Emeryville, CA • On-site

$210K - $260K/yr

Other

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

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 entry level candidates, 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. entry level candidates 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

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