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Phd Artificial Intelligence Jobs (NOW HIRING)

DCCA

Artificial Intelligence

Bethesda, MD · On-site

They are seeking an Artificial Intelligence professional responsible for developing and ... years of experience • PhD + 2 years of experience • High School Diploma + 12 years of ...

Staffingine LLC

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Artificial Intelligence Engineer Job Location: Bellevue - Washington Job Type: Contract * Lead the ... Masters or PhD in Computer Science Statistics Mathematics or a related field. * Proficiency in ...

Digitalhealthnews

$94.82 - $118.53/hr

PHD is preferable * You have long years of professional experience in the field of Artificial Intelligence and you have experience in x-ray physics and image processing * You have sound knowledge in ...

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Phd Artificial Intelligence information

What is a PhD in artificial intelligence?

A PhD in Artificial Intelligence is an advanced academic degree focused on original research in AI topics such as machine learning, natural language processing, robotics, and computer vision. Students pursuing this degree typically conduct in-depth research, publish scholarly articles, and develop new algorithms or AI systems. The program prepares graduates for careers in academia, industry research labs, or leadership roles in technology companies. Completing a PhD in AI generally takes several years and culminates in a dissertation that contributes new knowledge to the field.

What are the key skills and qualifications needed to thrive as a PhD in artificial intelligence?

To thrive as a PhD in Artificial Intelligence, you need advanced knowledge in machine learning, deep learning, statistics, and programming, supported by a doctoral degree in computer science or a related field. Expertise with frameworks like TensorFlow or PyTorch, experience in research methodologies, and familiarity with large datasets are typically required. Strong analytical thinking, creativity, and effective communication skills distinguish successful AI researchers and professionals. These skills are crucial for driving innovation, publishing high-impact research, and collaborating effectively within multidisciplinary teams.

What are some typical career paths and advancement opportunities for professionals with a PhD in artificial intelligence?

Professionals with a PhD in Artificial Intelligence often have diverse career paths, including roles in academia, research labs, or industry-leading tech companies. Many start as research scientists or AI specialists, working on advanced machine learning projects, and can progress to lead research teams or assume managerial positions overseeing AI-driven initiatives. Additionally, some choose to become professors or principal investigators, contributing to academic research and mentoring graduate students. The rapid growth of AI means there are also opportunities to transition into product development, consulting, or even launching AI-focused startups.

What is the difference between Phd Artificial Intelligence vs Data Scientist?

AspectPhd Artificial IntelligenceData Scientist
Required CredentialsPhD in AI, Computer Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Employer & Industry UsageResearch institutions, universities, AI-focused companiesCorporate, finance, healthcare, tech industries
Common Search & Comparison IntentUnderstanding advanced research roles in AIData analysis, modeling, and insights in industry

While a Phd in Artificial Intelligence emphasizes research, development, and theoretical understanding of AI systems, a Data Scientist focuses on analyzing data, building predictive models, and deriving actionable insights for businesses. Both roles require strong technical skills, but their primary applications and work environments differ significantly.

Is a PhD in artificial intelligence worth it?

A PhD in artificial intelligence can lead to advanced research, academic positions, and specialized roles in industry such as AI scientist or machine learning engineer. It typically requires strong programming skills, knowledge of algorithms, and familiarity with tools like Python and TensorFlow, and can significantly increase earning potential and job opportunities in AI-focused fields.

What can you do with a PhD in Artificial Intelligence?

A PhD in Artificial Intelligence prepares individuals for advanced research, development, and leadership roles in academia, industry, or government. Graduates often work as AI researchers, data scientists, machine learning engineers, or AI consultants, utilizing skills in programming, data analysis, and algorithm development to solve complex problems. They may also contribute to innovation in areas like robotics, natural language processing, and computer vision.

What is the salary of a PhD in artificial intelligence?

A PhD in artificial intelligence typically earns between $100,000 and $150,000 annually in industry roles, depending on experience, location, and the specific employer. Academic positions may offer lower salaries but often include research funding and teaching responsibilities.
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Phd Artificial Intelligence jobs near you
Infographic showing various Phd Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Artificial Intelligence

DCCA

Bethesda, MD • On-site

Full-time

Re-posted 4 days ago

Job description

Job Summary:
DCCA is a veteran-owned IT business specializing in providing innovative solutions to government agencies and commercial enterprises. They are seeking an Artificial Intelligence professional responsible for developing and implementing AI and machine learning solutions, analyzing complex data sets, and advising on appropriate technology solutions.
Responsibilities:
• Experience developing and implementing artificial intelligence (AI) and machine learning (ML) solutions using emerging technologies such as deep learning, natural language processing, generative AI, and Agentic AI.
• Experience analyzing complex data sets to identify patterns and trends, and designs and develops AVML models to solve business problems.
• Understands model differences and applicability across different use cases to advise on appropriate solutioning for a variety of functions.
• Ability to identify potential data security and integrity issues ahead of implementation.
Qualifications:
Required:
• Candidate must have a TS/SCI
• Experience developing and implementing artificial intelligence (AI) and machine learning (ML) solutions using emerging technologies such as deep learning, natural language processing, generative AI, and Agentic AI.
• Experience analyzing complex data sets to identify patterns and trends, and designs and develops AVML models to solve business problems.
• Understands model differences and applicability across different use cases to advise on appropriate solutioning for a variety of functions.
• Ability to identify potential data security and integrity issues ahead of implementation.
• High School Diploma + 6 years of experience
• Associates Degree + 4 years of experience
• Bachelors Degree + 2 years of experience
• Masters Degree + 0 years of experience
• High School Diploma + 8 years of experience
• Associates Degree + 6 years of experience
• Bachelors Degree + 4 years of experience
• Masters Degree + 2 years of experience
• High School Diploma + 10 years of experience
• Associates Degree + 8 years of experience
• Bachelors Degree + 6 years of experience
• Masters Degree + 4 years of experience
• PhD + 2 years of experience
• High School Diploma + 12 years of experience
• Associates Degree + 10 years of experience
• Bachelors Degree + 8 years of experience
• Masters Degree + 6 years of experience
• PhD + 4 years of experience
Company:
DCCA provides database, systems development and related information technology services. Founded in 1982, the company is headquartered in Ellicott City, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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