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Ai Computer Science Jobs (NOW HIRING)

Tt

AI & Computer Vision Intern

New York, NY

Thornton Tomasetti applies engineering and scientific principles to solve the world's challenges ... We have an opportunity for an AI & Computer Vision Intern for our Forensics Practice.

Atomic Machines

AI CAD Engineer

Emeryville, CA · On-site +1

$210K - $260K/yr

You'll collaborate closely with our AI, Modeling & Simulation, and Design teams to build systems ... 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

You'll collaborate closely with our AI, Modeling & Simulation, and Design teams to build systems ... 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

You'll collaborate closely with our AI, Modeling & Simulation, and Design teams to build systems ... Computer Science, or a related field. * For Staff level, 10+ years of industrial experience (post ...

Varsity Tutors

High School Computer Science Tutor

GA · Remote

$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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All JobsAi Computer Science Jobs

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 Jun 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.

Can AI do computer science jobs?

AI can assist with many computer science tasks such as coding, data analysis, and automation, but it does not fully replace human computer science professionals. AI tools often require human oversight, programming skills, and understanding of algorithms to be effectively utilized in the workplace.

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.

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 is a $900,000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, often requiring advanced degrees, extensive experience, and expertise in areas like deep learning, data science, and AI development. These roles usually involve leadership, strategic planning, and overseeing large AI projects within technology companies or research institutions.

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 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.

Is AI a high paying job?

AI computer science roles are generally among the higher-paying technology jobs due to the specialized skills required, such as machine learning, data analysis, and programming in languages like Python. Salaries vary based on experience, location, and industry, but professionals in AI often earn above average salaries compared to other tech roles.

Which 3 jobs will survive AI?

AI Computer Science professionals are likely to find that roles involving complex problem-solving, creativity, and human interaction will persist, such as software engineers, data scientists, and cybersecurity specialists. These jobs require critical thinking, adaptability, and domain expertise that AI tools currently cannot fully replicate.
More about Ai Computer Science jobs
What cities are hiring for Ai Computer Science jobs? Cities with the most Ai Computer Science job openings:
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What states have the most Ai Computer Science jobs? States with the most job openings for Ai Computer Science jobs include:
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Ai Computer Science jobs near you
Infographic showing various Ai Computer Science job openings in the United States as of June 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Lead Data Scientist (Scientific Software Engineer / Computational Scientist) - Only W2

Saransh Inc

Mountain View, CA • On-site

Contractor

Posted yesterday

Job description

Role: Lead Data Scientist (Scientific Software Engineer / Computational Scientist)
Location: Mountain View, CA (Hybrid – 3 days a week onsite)
Job Type: W2 Contract
 
 
Note: Only Visa Independent candidates are required (No C2C or Third-party candidates)
 
 
Experience Level: Lead
 
Main Skills:
  • Python (NumPy/SciPy/CuPy)
  • C++
  • PyTorch
  • Geostatistics
  • 3D Mathematics
  • CUDA/OpenMP
  • AI-assisted coding
 
Short Overview:
  • Scientific Software Engineer or Computational Scientist with a niche background in scientific simulation, procedural generation, or computational physics.
  • This is an implementation-heavy role requiring a developer who can translate complex mathematical logic and generative ML models into performant code to solve high-dimensional geometric problems.
 
Simulation & Generative Modeling
 Seeking a deep expertise in scientific computing, procedural generation, or computational physics to build the core algorithms for our 3D subsurface modeling engine.
 
The Role:
This is an implementation-heavy position bridging procedural physics and generative ML.
 
What We're Looking For:
Core Competencies:
  • Procedural Generation: Terrain synthesis, voxel engines, noise-driven systems
  • Scientific Computing: CFD, FEA, multi-physics solvers
  • Computational Geometry: 3D mesh processing, volumetric data structures, spatial partitioning
Key Responsibilities:
  1. Algorithmic Implementation — Design memory-efficient algorithms for massive 3D voxel arrays and sparse data structures; implement deterministic and stochastic geometric rules
    • Example: Build C++/Python kernels using 3D Perlin/Simplex noise and vector fields to simulate braided river systems
    • Example: Implement Boolean CSG algorithms for volumetric injections of igneous bodies
  2. Generative ML Engineering — Architect and train models (GANs, Diffusion) for high-resolution 3D spatial data using PyTorch
    • Example: Generate realistic fracture networks via 3D generative models
    • Example: Apply neural style transfer to map sedimentary textures onto volumetric frameworks
 
Required Technical Skills:
  • Languages: Expert Python (NumPy/SciPy/CuPy); proficient C++ for performance kernels
  • Mathematics: Linear algebra, vector calculus, coordinate transformations
  • ML Frameworks: PyTorch (generative AI, computer vision)
  • Performance: CUDA/OpenMP; parallel computing experience
  • Workflow: AI-assisted coding for rapid prototyping and testing
 
Domain Knowledge:
Mathematical maturity in:
  • Structural modeling
  • Sedimentology
  • Tectonics
  • Geostatistics
 
Ideal Background:
  • MS/PhD in Computer Science, Applied Mathematics, Computational Physics, or equivalent
  • Portfolio/GitHub demonstrating procedural world-building, physics engines, or scientific simulators