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Ai Computer Science Jobs in New York (NOW HIRING)

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

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Ai Computer Science information

See New York salary details

$55.2K

$121.8K

$150.4K

How much do ai computer science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for ai computer science in New York is $121,813.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $149,900.00 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.

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

The most popular types of Ai Computer Science jobs in New York are:

What job categories do people searching Ai Computer Science jobs in New York look for?

The top searched job categories for Ai Computer Science jobs in New York are:

Infographic showing various Ai Computer Science job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,813 per year, or $58.6 per hour.

AI Research Scientist, Physical AI

Meta

New York, NY • On-site

$184K - $257K/yr

Full-time

Posted 9 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies


Job description

Meta's Fundamental AI Research lab is seeking a Research Scientist to drive foundational research aimed at advancing physical AI capabilities. We seek to generate advanced engineering designs such as robotic hardware, vehicles, and novel semiconductors. This role will involve heavy software research engineering, such as large-scale data manipulation and simulator integration.
Responsibilities
Explore and develop novel post-training paradigms for LLMs using reinforcement learning
• Explore and develop novel LLM post-training recipes using 3D data
• Integrate large-scale simulation into LLM post-training
• Explore mechanical, aerospace, civil, and other engineering disciplines and how to enable LLMs to solve key problems in these domains
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, Mechanical Engineering, Electrical Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• Currently has or is in the process of obtaining a PhD degree in Artificial Intelligence, Physical AI, Computer Vision (3D), Machine Learning, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• Research experience in at least one of the following research areas: physical AI, simulation, reinforcement learning, representation learning, self-supervised learning, multimodal learning, robotics policy development, computer vision (3D), egocentric perception, embodied AI and/or LLMs, control theory, optimization algorithms
• Experience in C/C++ and Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
• Experience integrating and debugging prototype/scientific software-hardware systems including mechanical, aerospace, or civil engineering domain-specific simulation
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, JMLR and Computer Vision (CVPR, ICCV, ECCV, TPAMI)
• Prior work experience in the fields of mechanical, aerospace, civil engineering or other engineering domains
• Experience working and communicating cross-functionally in a team environment
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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