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From Home Ai Computer Science Jobs in California

Atomic Machines

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 ... Computer Science, or a related field. * For Staff level, 10+ years of industrial experience (post ...

Atomic Machines

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 ... Computer Science, or a related field. * For Staff level, 10+ years of industrial experience (post ...

Atomic Machines

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 ... Computer Science, or a related field. * For Staff level, 10+ years of industrial experience (post ...

Adobe

Senior Computer Scientist

San Jose, CA

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

How can I make $100,000 a year working from home?

To earn $100,000 annually in a remote AI computer science role, professionals typically need advanced skills in programming, machine learning, or data analysis, along with experience and possibly certifications. Building a strong portfolio, specializing in high-demand areas, and working for established companies or consulting can help achieve this income level from home.

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 are the key skills and qualifications needed to thrive as a Remote AI Computer Scientist, and why are they important?

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.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI startup founder, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, innovation, and significant responsibility, and may be found in tech companies, finance, or healthcare sectors. Compensation at this level often includes base salary, bonuses, and equity or stock options.

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 jobs make $3,000 a day?

High-paying jobs in fields like AI and computer science, such as senior software engineers, data scientists, or AI consultants, can earn $3,000 or more per day, especially with specialized skills, experience, and consulting or freelance work. These roles often require advanced knowledge of programming, machine learning, and industry-specific tools, and may involve project-based or contract work with flexible schedules.

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 jobs can I do from home with AI?

Jobs in AI that can be done from home include AI software development, data analysis, machine learning engineering, natural language processing, and AI research. These roles often require programming skills, knowledge of AI frameworks, and the ability to work independently in a remote environment.
What are the most commonly searched types of Ai Computer Science jobs in California? The most popular types of Ai Computer Science jobs in California are:
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From Home Ai Computer Science jobs near you

AI CAD Engineer

Atomic Machines

Emeryville, CA • On-site, Remote

$210K - $260K/yr

Full-time

Re-posted 16 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 The Role:

As a CAD Automation Engineer, you will have the opportunity to lead, innovate, and 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 teams 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 micro-manufacturing and computational design.

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

When referencing the compensation band below, please note that it may vary based on a candidate's experience and level. This role is not tied to a single level and may span earlier-in-career through senior-level candidates (L4–L6). Final leveling will be determined during the interview process. We are open to strong earlier-career candidates who are excited to grow into broader technical leadership or architectural responsibility over time.

What You'll Do:
  • Build CAD workflows that programmatically construct, modify, and evaluate 3D assemblies. This includes:
    • Manipulating and parametrizing CAD models to support iterative design and optimization.
    • Integrating with CAD APIs to move beyond GUI-based workflows, enabling high-throughput automated modeling and simulation.
    • Developing geometric intelligence — algorithms that infer how parts mate, fit, and interact to form functional assemblies.
  • Create and maintain a library of parametric components for generative design exploration.
  • Develop GenAI-driven workflows for CAD generation and automated design exploration.
What You'll Need:

Required

  • Deep expertise in CAD manipulation and parametrization, including scripting and automation (e.g., with Onshape API, SolidWorks API, Fusion API, or similar).
  • Strong background in programmatic CAD workflows.
  • Knowledge of AI-based CAD generation or generative design algorithms.
  • Deep understanding of CAD interoperability standards (STEP, IGES, JT, or similar).
  • Proficiency in interacting with CAD software via APIs (Python, C++, or other relevant languages).
  • Experience in parsing large sets of CAD models with product and manufacturing information to create batchable datasets for training.
  • Bachelor's or Master's or PhD degree in Mechanical Engineering, Aerospace Engineering, Computational Design, Computer Science, or a related field.
  • For Staff level, 10+ years of industrial experience (post Bachelor's), or 8+ years of industrial experience (post Master's) or 5+ years of industrial experience (post PhD), with the option of relaxing these requirements for a Senior level position.

Nice to have

  • Experience with geometric modeling kernels (e.g., OpenCascade, Parasolid).
  • Experience in mastering NURBS and B-Rep.
  • Experience with meshing, especially for simulation or manufacturing purposes.
  • Experience with Model-Based Definitions.

Bonus Points For

  • Experience with implicit geometric representations.
  • Experience with simulation-in-the-loop design, shape optimization, or topology optimization workflows.

The compensation for this position also includes equity and benefits.

Salary Range
$210,000—$260,000 USD