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Entry Level Computer Science Artificial Intelligence Jobs in New York

Varsity Tutors

College Computer Science Tutor

Norwalk, CT · Remote

$18 - $40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

Varsity Tutors

College Computer Science Tutor

Paramus, NJ · Remote

$18 - $40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

Varsity Tutors

College Computer Science Tutor

Yonkers, NY · Remote

$18 - $40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

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Entry Level Computer Science Artificial Intelligence information

What is an entry level computer science artificial intelligence job?

Entry Level Computer Science Artificial Intelligence jobs are positions designed for recent graduates or individuals with limited professional experience in computer science, specifically focusing on artificial intelligence (AI). These roles typically involve assisting in the development, testing, and deployment of AI models and algorithms under the guidance of more experienced engineers or data scientists. Tasks may include data preprocessing, writing code for machine learning models, evaluating model performance, and collaborating with teams to solve real-world problems using AI. Entry-level AI jobs provide an opportunity to gain practical experience, learn industry-standard tools and frameworks, and build foundational skills for a career in artificial intelligence.

What types of projects can I expect to work on as an entry level computer science artificial intelligence professional?

As an entry-level AI professional, you’ll typically contribute to projects involving data preprocessing, model training, and algorithm implementation under the guidance of senior team members. You might work on tasks like cleaning datasets, developing and testing machine learning models, and assisting in deploying AI solutions. Collaboration with software engineers, data scientists, and product managers is common, providing you with a well-rounded introduction to real-world AI development and teamwork. These projects help you build foundational skills while gaining exposure to various AI applications and industry tools.

What are the key skills and qualifications needed to thrive as an entry level computer science artificial intelligence professional?

To excel in an entry-level AI role, you need a solid understanding of computer science fundamentals, programming languages like Python, and basic knowledge of algorithms and data structures, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analysis tools, and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective teamwork set candidates apart in this field. These abilities are crucial for building robust AI solutions, adapting to technological advances, and collaborating efficiently on complex projects.

What is the difference between Entry Level Computer Science Artificial Intelligence vs Entry Level Data Science?

AspectEntry Level Computer Science Artificial IntelligenceEntry Level Data Science
Required CredentialsBachelor's in Computer Science, AI, or related fields; knowledge of programming, machine learning, and algorithmsBachelor's in Data Science, Statistics, or related fields; skills in programming, statistics, and data analysis
Work EnvironmentTech companies, research labs, startups focusing on AI applicationsBusiness, finance, healthcare, and tech firms analyzing data for insights
Employer & Industry UsageUsed in AI development, machine learning projects, and automationUsed in data analysis, predictive modeling, and business intelligence

Both roles require programming skills and a strong foundation in computer science. While AI focuses on developing intelligent systems and algorithms, data science emphasizes analyzing data to inform decisions. The choice depends on your interest in creating AI solutions versus extracting insights from data.

Can I get an entry level computer science artificial intelligence job with no experience?

Entry level computer science artificial intelligence positions often require some foundational knowledge in programming, algorithms, and machine learning, but many employers consider candidates with relevant coursework, personal projects, or certifications even without formal work experience. Building skills in languages like Python and tools such as TensorFlow can improve your chances, and internships or online courses can help demonstrate your abilities to employers.

Is artificial intelligence taking entry-level computer science jobs?

Entry-level computer science jobs involving artificial intelligence are growing as companies seek new talent with skills in machine learning, programming, and data analysis. However, competition remains high, and candidates often need foundational knowledge in programming languages like Python and familiarity with AI frameworks to succeed.

What are popular job titles related to Entry Level Computer Science Artificial Intelligence jobs in New York?

For Entry Level Computer Science Artificial Intelligence jobs in New York, the most frequently searched job titles are:

What job categories do people searching Entry Level Computer Science Artificial Intelligence jobs in New York look for?

The top searched job categories for Entry Level Computer Science Artificial Intelligence jobs in New York are:

What cities in New York are hiring for Entry Level Computer Science Artificial Intelligence jobs?

Cities in New York with the most Entry Level Computer Science Artificial Intelligence job openings:

Entry Level Computer Science Artificial Intelligence jobs near you
Infographic showing various Entry Level Computer Science Artificial Intelligence job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Artificial Intelligence Hardware Engineer

4 Staffing Corp

Manhattan, NY • Hybrid

$136K - $179K/yr

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

Artificial Intelligence Hardware EngineerNew York, New York, United StatesAbout the JobArtificial Intelligence Hardware Engineer - Hybrid/Remote - NYCNo visa sponsorship available at this time.

Our client an up and coming innovative AI start-up is seeking a highly skilled and innovative Artificial Intelligence Hardware Engineer to join their dynamic team. In this role, you will be responsible for designing, developing, and optimizing hardware systems specifically tailored for artificial intelligence (AI) applications. The ideal candidate will have a strong background in computer engineering, deep learning, and hardware design, with a passion for pushing the boundaries of AI technology.

Responsibilities:

Collaborate with cross-functional teams to understand AI application requirements and hardware specifications.

Design and develop custom hardware architectures optimized for AI algorithms, including neural network accelerators, specialized processors, and system-on-chip (SoC) solutions.

Implement and optimize algorithms for hardware acceleration, utilizing techniques such as parallel processing, pipelining, and memory optimization.

Conduct performance analysis and benchmarking of AI hardware systems to ensure optimal efficiency and scalability.

Work closely with software engineers to integrate hardware solutions into AI frameworks and platforms.

Research and evaluate emerging technologies and industry trends in AI hardware design, staying abreast of advancements in deep learning algorithms, hardware accelerators, and system architectures.

Collaborate with external partners, vendors, and research institutions to drive innovation and develop cutting-edge AI hardware solutions.

Document design specifications, performance metrics, and implementation details for internal and external stakeholders.

Provide technical guidance and mentorship to junior engineers and contribute to the overall technical expertise of the team.

Requirements:

Bachelor's degree in Computer Engineering, Electrical Engineering, or related field. Master's or Ph.D. preferred.

Proven experience in hardware design, development, and optimization for AI applications, with a minimum of 3 years in a relevant role.

Proficiency in hardware description languages (e.g., Verilog, VHDL) and experience with hardware design tools and methodologies (e.g., FPGA, ASIC).Strong understanding of deep learning algorithms and frameworks (e.g., TensorFlow, PyTorch) and their hardware implementation requirements.

Experience with hardware acceleration techniques and technologies (e.g., GPU, FPGA, ASIC) for AI inference and training.

Familiarity with system-level design considerations, including power management, thermal constraints, and performance optimization.

Excellent problem-solving skills and the ability to analyze complex technical challenges and propose innovative solutions.

Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment. Experience with project management and product development lifecycle is a plus.

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