Back to Course

🌟 AI Career Master Class

0% Complete
0/0 Steps
  1. 1 - THE ULTIMATE AI CAREER COURSE

    1.1 Welcome to "Master Your Career with AI"
    4 Topics
  2. 1.2 Launch Your Path to Success
    2 Topics
  3. 1.3 What is AI and Why it Will Change Everything
    5 Topics
  4. 1.4 Your Feedback
  5. 2 - AI CAN HELP YOU IN YOUR CAREER
    2.1 Most Important Career Activities you Need to Master
    10 Topics
    |
    10 Quizzes
  6. 2.2 How AI can Become Your Superpower
    2 Topics
  7. 2.3 Your Feedback
  8. 3 - TOP GENERATIVE AI TOOLS YOU NEED TO KNOW
    3.1 These 5 Gen AI Tools You Need To Master
    5 Topics
  9. 3.2 AI Writing Tools Which Are Magic
    6 Topics
  10. 3.3 AI Voice Tools Which Listen To You
    3 Topics
  11. 3.4 Learn These Mind Blowing AI Art Tools
    6 Topics
  12. 3.5 These AI Video Generator Are Game Changer
    6 Topics
  13. 3.6 Your Feedback
  14. 4 - AI'S INFLUENCE ON THE FUTURE OF WORK
    4.1 AI Solutions Shaping Industries
    8 Topics
  15. 4.2 How AI Is Transforming Jobs
    8 Topics
  16. 4.3 New AI Jobs and Opportunities
    10 Topics
  17. 4.3 Your Feedback
  18. 5 - LEARN TO PROMPT PERFECT (ACCESS TO 100+ PROMPT LIBRARIES)
    5.1 Learn to Use AI for Your Benefit
    3 Topics
  19. 5.2 Your Feedback
  20. 6 - The POWER OF CERTIFICATES (ACCESS TO 100+ Certificates)
    6.1 Get Yourself a Certificate
    2 Topics
  21. 6.2 Your Feedback
  22. 7 - WHERE TO FIND AI JOP OPENINGS? (ACCESS TO 100+ AI Job Openings)
    7.1 AI Job Catalogs
    6 Topics
  23. 7.2 Your Feedback
  24. 8 - USE AI TO LEVEL UP IN YOUR CURRENT ROLE
    8.1 Become an AI Expert in Your Domain
    3 Topics
  25. 8.2 How to Use AI as a Promotion Booster
    3 Topics
  26. 8.3 AI-Powered Networking
    4 Topics
  27. 8.4 Your Feedback
  28. 9 - HOW AI CAN HELP YOU GETTING A NEW/DREAM JOB
    9.1 AI To Create A Perfect Application
    6 Topics
  29. 9.2 Enhancing Interview Performance with AI Insights
  30. 9.3 Your Feedback
  31. 10 -AI ON THE WAY TO AGI - ETHICAL CONSIDERATIONS
    10.1 Ethical Questions and Considerations using AI
    6 Topics
  32. 10.2 Your Feedback
  33. 11 - AI POWERED CAREER PLANNING - NEXT SECRET TO SUCEES
    11.1 Creating a Career Plan with AI-driven Insights
    3 Topics
  34. 12 - AI Newsletters and Resources
    12.1 - Key AI Publications, Newsletter and Resources
    5 Topics
  35. 13 - Roadmap
    13.1 - Roadmap and Releases
  36. TBD Parking Lot
    Course Recap
    2 Topics
  37. Additional Resources
    1 Topic
  38. Make AI your Career Superpower
    4 Topics
Lesson Progress
0% Complete

3 Videos 12 min.

enabled

8 Free Courses:

album-art

00:00

4.3.6 AI Research Scientist

AI Research Scientist

ROLE OVERVIEW

An AI Research Scientist is a professional deeply engaged in the cutting-edge of artificial intelligence, working to advance the capabilities and applications of AI technologies. This role involves a blend of theoretical exploration and practical application, aiming to push the boundaries of what machines can learn and accomplish. Key responsibilities typically include:

KEY RESPONSIBILITIES

  • Designing and Implementing Experiments: AI Research Scientists design and conduct experiments to test hypotheses in various AI domains, such as machine learning, natural language processing, and computer vision[6].

  • Developing Algorithms and Models: They are responsible for creating innovative algorithms and models that advance machine learning and AI capabilities[6].

  • Collaborating with Teams: AI Research Scientists work with interdisciplinary teams to integrate AI technologies into products and services, ensuring that AI solutions meet business needs[14].

  • Staying Updated: They must keep abreast of the latest AI research and trends to inform project direction and methodologies[6].

  • Publishing and Presenting Findings: Documenting research findings through academic papers and presenting at conferences is a crucial part of the role, contributing to the collective understanding of AI[6].

EDUCATION AND SKILLS

  • Educational Background: Most AI scientists hold a Ph.D. in a related field, such as computer science, artificial intelligence, machine learning, or a closely related area. However, some positions may accept candidates with a master’s degree or relevant work experience[15].

  • Programming Skills: Proficiency in programming languages like Python and libraries like TensorFlow, PyTorch, or scikit-learn is essential for AI scientists. You need to be able to write and optimize code for AI models and algorithms[15].

  • Mathematics and Statistics: A deep understanding of mathematics and statistics, including linear algebra, calculus, probability, and optimization, is crucial for AI research and modeling[15].

  • Machine Learning and Deep Learning: AI scientists should have expertise in machine learning and deep learning techniques. Knowledge of neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs) is important[15].

  • Data Handling and Preprocessing: Proficiency in data preprocessing, data cleaning, and feature engineering is necessary to prepare data for AI models[15].

HOW TO BECOME ...

  • Obtain a Bachelor’s Degree: Start with a bachelor’s degree in computer science, mathematics, statistics, or a related technical field. This foundational knowledge is crucial for understanding the complexities of AI[4].

  • Pursue Advanced Education: Consider advancing your education with a master’s or doctoral degree, which is often required for research positions and will deepen your expertise in AI methodologies and theories[4].

  • Develop Technical Proficiency: Acquire strong programming skills in languages such as Python, R, Java, or C++. Gain experience with machine learning frameworks like TensorFlow or PyTorch[4].

  • Engage in Research and Practical Application: Hands-on research experience is invaluable. Seek opportunities for internships, research assistantships, or work on projects with professors during your studies[4].

  • Build a Professional Network: Networking is essential. Connect with professionals in the field through academic conferences, seminars, and online forums[4].

  • Stay Informed and Continue Learning: The AI field is rapidly evolving. Keep up-to-date with the latest findings by reading research papers, attending conferences, and following thought leaders in the AI community[4].

FREE COurses

Here are some free AI Research Scientist online courses available from various platforms and universities:

  1. AI for Business by University of Pennsylvania (Coursera)

    • Platform: Coursera
    • Duration: Approximately four months
    • Key Features: Taught by eight UPenn professors from the Wharton School, this specialization covers data analytics, machine learning tools, and people management.
  2. Google AI for Everyone (edX)

    • Platform: edX
    • Duration: About four weeks
    • Key Features: A beginner course that introduces AI and machine learning principles, as well as real-world applications, taught by Laurence Moroney from Google.
  3. Big Data, Artificial Intelligence, and Ethics by University of California—Davis (Coursera)

    • Platform: Coursera
    • Duration: Four weeks
    • Key Features: Focuses on big data, the history of AI, and research ethics, using case studies for practical learning.
  4. Introduction to Artificial Intelligence with Python by Harvard University

    • Prerequisite: CS50 Introduction to Computer Science
    • Duration: Seven weeks
    • Key Features: Covers AI algorithms, game-playing engines, handwriting recognition, and machine translation, with hands-on projects and lectures.
  5. AI Foundations for Everyone by IBM (Coursera)

    • Platform: Coursera
    • Duration: About three months
    • Key Features: Includes three courses on the basics of AI, its applications, and ethical concerns, with insights from IBM experts.
  6. AI for Scientific Research from LearnQuest (Coursera)

    • Platform: Coursera
    • Duration: 17 weeks
    • Key Features: Covers Python for data science, machine learning models, advanced AI techniques, and a capstone project on AI for drug discovery.
  7. AI Matters by The Open University (OpenLearn)

    • Platform: OpenLearn
    • Duration: Six hours
    • Key Features: Explores historical, social, political, and economic issues in AI, including ethical risks and the technology’s limitations and benefits.
  8. Introduction to Generative AI by Google

    • Duration: About 5 hours
    • Key Features: An introductory course on generative AI, covering large language models (LLMs) and responsible AI principles.

These courses offer a wide range of topics within the AI field, from introductory concepts to more specialized areas like generative AI and AI for scientific research, making them suitable for individuals at various stages of their learning journey in AI research.

UNIVERSITIES COurses & CERTIFICATIONS

Here are AI Research Scientist courses and certifications offered by universities, along with their key elements:

  1. Artificial Intelligence Graduate Certificate by Stanford University School of Engineering

    • Key Elements: Covers principles and technologies of AI, including logic, probabilistic models, machine learning, robotics, natural language processing, and knowledge representation. Requires completion of one or two required courses and two or three elective courses with a grade of 3.0 or higher.
    • Prerequisites: Bachelor’s degree with a minimum 3.0 GPA, college-level calculus and linear algebra, familiarity with probability theory, and programming experience.
  2. Advanced Machine Learning Specialization by National Research University Higher School of Economics (through Coursera)

    • Key Elements: Designed for AI Engineers, Machine Learning Engineers, Data Scientists, and Software Developers interested in AI. Covers data science, machine learning algorithms, deep learning neural networks, and scalable machine learning on the cloud.
    • Prerequisites: Not explicitly mentioned, but likely requires a strong foundation in machine learning and programming.
  3. Professional Certificate in Computer Science for Artificial Intelligence by HarvardX (through edX)

    • Key Elements: Equips learners with foundational computer science principles and expertise needed for AI. Focuses on algorithms, data structures, software development, and the mathematical underpinnings of machine learning.
    • Prerequisites: Not explicitly mentioned, but a background in computer science or a related field is likely beneficial.
  4. Artificial Intelligence and Machine Learning Certificate by The University of Akron

    • Key Elements: Designed for both degree and non-degree seeking students interested in AI techniques and skills. Offers core coursework in AI and a range of electives.
    • Prerequisites: Completion of introductory programming courses (CPSC:209 Computer Science I and CPSC:210 Computer Science II) with a GPA of 2.5 or better, and CPSC:316 Data Structures.

These courses and certifications provide a comprehensive foundation in AI, covering both theoretical principles and practical applications, suitable for aspiring AI Research Scientists.

SALARY INFO

SourceAverage Annual SalarySalary Range
Glassdoor (AI Research Scientist)$161,523$126,837 – $207,815
AI PaygradesUp to $786,000 at Google Mountain View for L6 Research Scientist
ZipRecruiter$50,500 – $174,000
Glassdoor (AI Researcher)$96,872
Coursera$108,932 (AI researcher)
ReadWriteUp to $865,000 at OpenAI for new Ph.D. graduates
Indeed (Allen Institute)$170,983
Salary.com$57,136 – $76,046

LEARNING VIDEOS

6 min.

Credits and a Big Thank you to Charles Weill

4:34 min.

Credits and a Big Thank you to JPMorgan

1:41 min.

Credits and a Big Thank you to Super Data Science: ML & AI Podcast with Jon Krohn

CITATION & References

[1] https://www.upwork.com/resources/how-to-become-an-ai-research-scientist 
[2] https://careers.purdue.edu/default/job/AI-Research-Scientist/30052-en_US/ 
[3] https://www.reddit.com/r/artificial/comments/8hdm9y/what_is_the_path_to_become_an_ai_researcher/ 
[4] https://www.tealhq.com/how-to-become/ai-researcher 
[5] https://www.gmercyu.edu/academics/learn/become-artificial-intelligence-engineer 
[6] https://www.tealhq.com/career-paths/ai-researcher
 [7] https://www.tealhq.com/education/ai-researcher
 [8] https://www.youtube.com/watch?v=doqr74qlizI 
[9] https://jobs.washingtonpost.com/article/artificial-intelligence-careers-to-consider-research-scientist/ 
[10] https://csuglobal.edu/blog/how-become-ai-scientist 
[11] https://www.reddit.com/r/ArtificialInteligence/comments/i3dqac/what_do_ai_researchers_do_while_they_work/
[12] https://www.careerexplorer.com/careers/ai-research-scientist/how-to-become/ 
[13] https://careers.twosigma.com/careers/JobDetail/New-York-New-York-United-States-AI-Research-Scientist/5163 
14] https://www.simplilearn.com/tutorials/artificial-intelligence-tutorial/how-to-become-an-ai-scientist 
[15] https://www.linkedin.com/pulse/how-become-ai-scientist-description-skills-salary 
[16] https://www.deel.com/job-description-templates/ai-research-scientist

Courses and Certifications
[1] https://www.techtarget.com/whatis/feature/10-top-artificial-intelligence-certifications-and-courses 
[2] https://www.tealhq.com/certifications/ai-researcher 
[3] https://bulletin.uakron.edu/undergraduate/colleges-programs/engineering-polymer-science/computer-science/artificial-intelligence-machine-learning/ 
[4] https://online.stanford.edu/programs/artificial-intelligence-professional-program 
[5] https://onlinedegrees.sandiego.edu/artificial-intelligence-courses-and-certifications/ 
[6] https://professional.mit.edu/course-catalog/professional-certificate-program-machine-learning-artificial-intelligence-0 
[7] https://www.coursera.org/courses?query=artificial+intelligence 
[8] https://www.upwork.com/resources/how-to-become-an-ai-research-scientist

🎉 CONGRATS 🎉

THANK YOU FOR SIGNING UP TO OUR NEWSLETTER!

In exchange for your email, I have a  special offer for you. Start your coaching session with a 50% discount. Address the questions you always want to ask and use this session to kickstart your career NOW!

See you!