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Masters Artificial Intelligence Jobs (NOW HIRING)

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Masters Artificial Intelligence information

What is a master’s in artificial intelligence?

A Masters in Artificial Intelligence is a graduate-level degree program that focuses on the theory, development, and application of AI technologies. Students in these programs learn about machine learning, deep learning, natural language processing, robotics, and data science. The curriculum often combines computer science fundamentals with hands-on projects and research opportunities. Graduates are prepared for roles in industries like technology, healthcare, finance, and research, where AI skills are in high demand.

What types of projects or problems do professionals with a master’s in artificial intelligence typically work on within organizations?

Professionals with a Master's in Artificial Intelligence often work on a wide range of projects, such as developing machine learning models for predictive analytics, designing intelligent automation systems, and improving natural language processing capabilities. They frequently collaborate with data scientists, software engineers, and domain experts to address real-world challenges like fraud detection, personalized recommendations, and process optimization. These roles require both technical expertise and the ability to translate complex data insights into actionable business solutions, providing ample opportunities for innovation and cross-functional teamwork.

What are the key skills and qualifications needed to thrive as a master’s-level artificial intelligence professional, and why are they important?

To thrive in an Artificial Intelligence role at the master's level, you need strong expertise in machine learning, programming (such as Python or R), and a solid foundation in mathematics and statistics, typically supported by an advanced degree in AI, computer science, or a related field. Familiarity with AI frameworks (like TensorFlow or PyTorch), cloud platforms, and relevant certifications (such as AWS Certified Machine Learning) are often required. Critical thinking, problem-solving, and effective communication are essential soft skills for turning data-driven insights into actionable solutions. These skills and qualifications are vital for developing innovative AI systems that address complex real-world challenges and drive organizational success.

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

AspectMasters Artificial IntelligenceData Scientist
Required CredentialsMaster's degree in AI, Computer Science, or related fieldMaster's degree in Data Science, Statistics, or related field
Work EnvironmentResearch labs, tech companies, AI development teamsBusiness analytics, data analysis, and modeling teams
Industry UsageAI research, machine learning development, automationData analysis, predictive modeling, business insights

Masters Artificial Intelligence and Data Scientist roles share overlapping skills and educational backgrounds, but AI focuses more on developing intelligent systems and algorithms, while Data Scientists analyze data to generate insights. Both roles are in high demand across tech and industry sectors, often requiring advanced degrees and similar technical skills.

Is it worth doing a master's in artificial intelligence?

A master's in artificial intelligence prepares individuals for roles like AI engineer or data scientist, offering advanced knowledge in machine learning, programming, and data analysis. It can improve job prospects and earning potential, especially in tech-driven industries, but requires a significant time and financial investment. The value depends on career goals and the quality of the program chosen.

What jobs can I get with a master's in artificial intelligence?

A master's in artificial intelligence qualifies graduates for roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python, knowledge of machine learning frameworks, and understanding of data analysis and algorithms.
Infographic showing various Masters Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 4% Internship, 92% Full Time, and 4% Temporary. Highlights an 79% In-person, and 21% Remote job distribution.

2027 Masters Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op

Advanced Micro Devices

San Jose, CA • On-site

$52 - $76/hr

Other

Posted 16 days ago


Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

26th of 161 rated electronics manufacturers


Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believetechnology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMDis shapingthefuture.

Whetheryou’redesigning next-gen processors, enabling AI breakthroughs, orbringing leading edge products to market, every role at AMD contributes to something bigger— technologythat moves the world forward.Join us and, together, we’ll advance your career.

As an AMD Co-op, you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next.

Job Details:
  • Locations: San Jose, CA or Santa Clara, CA
  • Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term
Duration:
  • Spring/Summer Co-op: January 15, 2027 - August 13, 2027
  • Summer Internship:
    • Semester Students: May 24, 2027 - August 13, 2027
    • Quarter Students: June 21, 2027 - September 10, 2027
  • Summer/Fall Co-op:
    • Semester Students: May 24, 2027 - December 10, 2027
    • Quarter Students: June 21, 2027 - December 10, 2027
WHAT YOU WILL BE DOING:

We are seeking a highly motivated Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op to join our team and participate in research and development of next-generation product differentiation features with extraordinary ML/AI engineers. In this role –

  • We will help you learn innovative new technologies in Machine Learning | AI | High Performance Compute
  • We will train you to analyze and implement changes to algorithms to improve AI performance and user experiences
  • We may assign you to one or more of the following project work -
  • Work on machine learning techniques to build applications for source code analysis and Image Corruption Detection
    • Research, development, and deployment in machine learning-based and computer vision products on AMD’s current and future products
    • Fixing and addressing problems with deployed AI to improve user experience
    • Support AI software teams with roadmap planning, collateral development, and customer engagements
WHO WE ARE LOOKING FOR:
  • You are currently enrolled in a US based University in a Master’s degree program majoring in computer science, computer engineering, data science / analytics, or a related field
  • If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply –
    • Machine learning, data science, computer vision, statistics, and mathematics
    • Programming in Python, C/C++
    • Relational (SQL) and no-SQL databases
    • Machine learning algorithms and frameworks
    • Deep learning / AI framework like Pytorch, Tensorflow, Caffe.
    • Familiarity with cloud (e.g., AWS, GCP, Azure)

This role is not eligible for visa sponsorship.

Benefits offered are described: AMD benefits at a glance.

AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.

We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.

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