Artificial Intelligence Researcher in Missouri Career Overview

As an Artificial Intelligence Researcher, you will engage in the cutting-edge field of AI, contributing to advancements that shape technology and influence various sectors. Your role involves:

  • Conducting research to develop new algorithms and models that enhance machine learning and artificial intelligence capabilities.
  • Collaborating with interdisciplinary teams to apply AI solutions to real-world challenges, such as healthcare, automotive, finance, and robotics.
  • Analyzing data to improve existing AI systems, ensuring they are efficient, accurate, and reliable.
  • Publishing findings in academic journals and presenting at conferences, thereby contributing to the global AI knowledge base.
  • Staying updated with the latest technological trends and innovations, allowing you to integrate novel approaches into your research.

Artificial intelligence has become an integral part of many industries, driving innovations that transform how businesses operate and how consumers interact with technology. Your work will play a significant role in ensuring that AI systems are not only effective but also ethical and aligned with societal needs.

Artificial Intelligence Researcher Salary in Missouri

Annual Median: $108,380
Hourly Median: $52.11

Data sourced from Career One Stop, provided by the BLS Occupational Employment and Wage Statistics wage estimates.

Required Education To Become an Artificial Intelligence Researcher in Missouri

To become an Artificial Intelligence Researcher, you will need a solid educational foundation. Below are the relevant degree programs and associated training that can prepare you for this career path:

  • Bachelor’s Degree: A fundamental step is to obtain a bachelor's degree in a relevant field. Programs that may set the groundwork include:

    • Artificial Intelligence: Focuses specifically on concepts, methods, and applications of AI.
    • Computer Science: Provides a broad understanding of programming, data structures, algorithms, and software development.
    • Applied Mathematics: Offers insights into mathematical modeling, statistics, and computational techniques essential for AI research.
    • Computational Biology: Explores the intersection of biology and computational methods, beneficial for AI applications in bioinformatics.
    • Computational Science: Covers simulations, computational models, and scientific computing, useful in various AI research contexts.
  • Master’s Degree: Many positions in AI research require a master's degree in one of the aforementioned fields. A graduate program will deepen your understanding and provide specialized training in areas such as machine learning, data analysis, and neural networks.

  • Doctoral Degree (Ph.D.): For those looking to engage in high-level research or academia, pursuing a Ph.D. is often necessary. A doctoral program allows you to conduct independent research, contribute new knowledge to the field, and specialize in specific AI topics such as natural language processing or computer vision.

  • Research Experience: Engaging in research projects during your studies is vital. Whether through internships, thesis projects, or collaborations with faculty, hands-on experience will greatly enhance your education and prepare you for a career in AI research.

  • Professional Development: Continuous learning through workshops, online courses, and conferences can supplement your formal education. This ongoing training ensures you remain updated with the latest advancements and techniques in artificial intelligence.

Each of these educational pathways will provide you with the necessary knowledge and experience to advance in the field of artificial intelligence research.

Best Schools to become a Artificial Intelligence Researcher in Missouri 2024

University of Maryland-College Park

College Park, MD

In-State Tuition:$9,695
Out-of-State Tuition:$37,931
Admission Rate:45%
Graduation Rate:89%
Total Enrollment:40,792

University of Southern California

Los Angeles, CA

In-State Tuition:$63,468
Out-of-State Tuition:$63,468
Admission Rate:12%
Graduation Rate:92%
Total Enrollment:48,945

University of Illinois Urbana-Champaign

Champaign, IL

In-State Tuition:$14,542
Out-of-State Tuition:$35,122
Admission Rate:45%
Graduation Rate:85%
Total Enrollment:56,916

Oregon State University

Corvallis, OR

In-State Tuition:$10,425
Out-of-State Tuition:$31,200
Admission Rate:83%
Graduation Rate:70%
Total Enrollment:34,292

University of California-Irvine

Irvine, CA

In-State Tuition:$11,564
Out-of-State Tuition:$41,636
Admission Rate:21%
Graduation Rate:87%
Total Enrollment:35,937

Arizona State University Campus Immersion

Tempe, AZ

In-State Tuition:$10,978
Out-of-State Tuition:$29,952
Admission Rate:90%
Graduation Rate:67%
Total Enrollment:80,065
Artificial Intelligence Researcher Job Description:
  • Conduct research into fundamental computer and information science as theorists, designers, or inventors.
  • Develop solutions to problems in the field of computer hardware and software.

Artificial Intelligence Researcher Required Skills and Competencies in Missouri

  • Strong Analytical Skills: Ability to assess complex data sets, identify patterns, and draw insightful conclusions. You must be adept at problem-solving and critical thinking.

  • Proficiency in Programming Languages: Familiarity with languages such as Python, R, Java, and C++ is essential. These are commonly used for implementing algorithms and developing machine learning models.

  • Knowledge of Machine Learning Algorithms: You should understand various algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning techniques. This knowledge enables you to choose appropriate methods for different types of data and problems.

  • Understanding of Statistics and Mathematics: A solid foundation in statistics, linear algebra, probability, and calculus is fundamental for modeling, analyzing data, and evaluating the performance of AI systems.

  • Experience with Data Management: Skills in data collection, cleaning, and preprocessing are necessary. Familiarity with databases and data manipulation tools helps you efficiently handle large datasets.

  • Familiarity with AI Frameworks and Tools: Experience with software frameworks and libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn can accelerate your development process and enhance your research capabilities.

  • Research Skills: The ability to conduct literature reviews, formulate research questions, and comply with scientific methods is key. You should be capable of writing and publishing research papers.

  • Collaboration and Communication Skills: You must be able to work effectively in interdisciplinary teams and communicate complex concepts clearly to non-experts, making collaboration with peers, stakeholders, and industry professionals vital.

  • Adaptability and Continuous Learning: The field of artificial intelligence evolves rapidly, so you should be committed to lifelong learning and staying updated with the latest research, technologies, and ethical considerations.

  • Ethical Considerations and Bias Awareness: Understanding the ethical implications of AI technologies and being aware of potential biases in algorithms is important for responsible research and application.

  • Project Management Skills: The ability to plan, execute, and manage projects, including setting goals, timelines, and deliverables, will allow you to navigate complex research tasks effectively.

Job Duties for Artificial Intelligence Researchers

  • Analyze problems to develop solutions involving computer hardware and software.

  • Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses.

  • Assign or schedule tasks to meet work priorities and goals.

Technologies and Skills Used by Artificial Intelligence Researchers

Analytical or scientific software

  • SAS
  • The MathWorks MATLAB

Development environment software

  • Apache Kafka
  • Oracle Java 2 Platform Enterprise Edition J2EE

Presentation software

  • Microsoft PowerPoint

Basic Skills

  • Listening to others, not interrupting, and asking good questions
  • Thinking about the pros and cons of different ways to solve a problem

People and Technology Systems

  • Figuring out how a system should work and how changes in the future will affect it
  • Thinking about the pros and cons of different options and picking the best one

Problem Solving

  • Noticing a problem and figuring out the best way to solve it

Job Market and Opportunities for Artificial Intelligence Researcher in Missouri

The job market for Artificial Intelligence Researchers in Missouri is experiencing notable growth and development, driven by advancements in technology and a rising demand for AI applications across various sectors.

  • Demand: The surge in interest for integrating AI technologies into business processes has led to an increase in demand for skilled researchers. Industries such as healthcare, finance, manufacturing, and transportation are actively seeking professionals who can develop innovative AI solutions.

  • Growth Potential: The Artificial Intelligence field is expected to see robust growth over the coming years. As organizations continue to invest in AI to enhance efficiency and decision-making capabilities, the opportunities for employment in this sector are likely to expand significantly. Research indicates that companies across Missouri are recognizing the importance of AI, thereby increasing their hiring of researchers and data scientists.

  • Geographical Hotspots:

    • St. Louis: This city has become a significant hub for technology and innovation, with numerous startups and established companies focusing on AI. Institutions like Washington University and Saint Louis University contribute to research and development, creating a collaborative environment for AI professionals.
    • Kansas City: The tech scene in Kansas City is burgeoning, with a variety of companies and research institutions investing in AI. The presence of tech incubators and a supportive entrepreneurial ecosystem enhances job prospects for researchers in this city.
    • Columbia: As home to the University of Missouri, Columbia boasts resources for AI research and collaboration. The university's initiatives and programs in technology further stimulate demand for AI expertise in various sectors.
    • Springfield: While smaller in comparison to other cities, Springfield is home to several organizations integrating AI into their operations, creating niche opportunities for AI researchers.

Overall, the combination of industry demand, technological advancements, and educational support makes the job market for Artificial Intelligence Researchers in Missouri an appealing landscape for current and aspiring professionals.

Additional Resources To Help You Become an Artificial Intelligence Researcher in Missouri

These resources can help you enhance your knowledge, expand your network, and stay updated in the rapidly evolving field of artificial intelligence research.

Frequently Asked Questions (FAQs) About Artificial Intelligence Researcher in Missouri

  • What is the role of an Artificial Intelligence Researcher?
    An Artificial Intelligence Researcher engages in the study and development of algorithms and models that enable machines to perform tasks that typically require human intelligence. This includes areas such as machine learning, natural language processing, and robotics.

  • What educational background do I need to become an Artificial Intelligence Researcher?
    Most positions require at least a master's degree in computer science, artificial intelligence, data science, or a related field. A Ph.D. is often preferred for advanced research roles, particularly in academic or specialized research institutions.

  • What skills are essential for a successful career in AI research?
    Key skills include:

    • Proficiency in programming languages such as Python, Java, or R
    • Strong mathematical and statistical skills
    • Knowledge of machine learning frameworks and libraries
    • Ability to work with large datasets and understanding of data preprocessing techniques
    • Problem-solving and critical thinking abilities
  • Are there specific companies in Missouri that hire AI Researchers?
    Yes, several companies in Missouri, including major corporations in tech, healthcare, and manufacturing, actively hire AI Researchers. Notable examples include Boeing, Express Scripts, and various startups in the St. Louis and Kansas City areas.

  • What are the typical job responsibilities of an AI Researcher?
    Responsibilities often include:

    • Conducting experiments to develop new AI models or improve existing ones
    • Analyzing results and iterating on models based on findings
    • Collaborating with interdisciplinary teams
    • Publishing research findings in academic journals or conferences
    • Keeping up to date with the latest trends and advancements in AI
  • What kind of salary can an Artificial Intelligence Researcher expect in Missouri?
    Salaries for AI Researchers in Missouri vary widely based on experience and specific job responsibilities, but they typically range from $70,000 to over $130,000 annually, with advanced positions offering higher compensation.

  • Is remote work an option for AI Researchers?
    Many organizations offer remote work options for AI Researchers, particularly those focused on software development or project-based research, allowing flexibility in terms of location.

  • What are the career advancement opportunities within this field?
    Career advancement can lead to positions such as Senior AI Researcher, Lead Data Scientist, or AI Research Director. Additionally, there are opportunities to transition into related fields, such as data engineering or product management.

  • How can I stay updated on developments in AI research?
    You can stay informed by:

    • Following reputable journals and publications in the AI field
    • Attending conferences and workshops focused on AI
    • Joining professional networks and online communities
    • Participating in online courses or webinars relevant to AI technologies
  • What is the future outlook for careers in Artificial Intelligence?
    The demand for AI Researchers is expected to grow significantly, driven by advancements in technology and increasing integration of AI across various sectors. This promising outlook indicates strong opportunities for job growth and innovation in the coming years.