We help like you get jobs in AI.
Improve your resume
Develop new skills
Chat with hiring managers
Connect with 30,000 tech workers
Get referred and hired
$7/month
List of career opportunities in AI
Slack channel: #product-management-jobs, #developer-jobs, #data-science-jobs
Our members have access to AI job openings for roles at companies like GitLab, EA Sports, Banyan Security, Relativity, Zappi, Cisco, Walmart, Monitaur, TikTok, Coordinate sport, Broadleaf Commerce and many more.
Machine Learning Engineer
Machine learning is the backbone of many innovative products and services, and it is no surprise that companies are increasingly looking for skilled professionals to join their teams. In this article, I will discuss what it takes to become a Machine Learning Engineer, how much it pays, companies that are hiring Machine Learning Engineers, and the type of online courses you should take to get started.
How to Get a Machine Learning Engineering Job
To become a Machine Learning Engineer, you need to have a solid foundation in computer science and mathematics, as well as experience with programming languages such as Python and R. Many employers also require a degree in a related field such as computer science, data science, or mathematics. However, a degree is not always necessary, and many Machine Learning Engineers are self-taught.
One of the best ways to gain experience and build your skills as a Machine Learning Engineer is by participating in open-source projects, attending meetups and conferences, and building your own projects. Additionally, online courses and tutorials can help you get started with the basics of machine learning and give you a better understanding of the field.
Salary of a Machine Learning Engineer
Machine Learning Engineers are in high demand and can earn competitive salaries. According to Glassdoor, the average salary for a Machine Learning Engineer in the United States is $112,557 per year. However, salaries can vary depending on factors such as location, experience, and company size. One positive side of pursuing such career is that a fair amount of jobs in ML are remote.
Companies Hiring Machine Learning Engineers
There are many companies that are hiring Machine Learning Engineers. Some of the biggest tech companies in the world, such as Google, Facebook, and Amazon, are always on the lookout for skilled professionals in this field. However, there are also many smaller startups and companies that are looking for Machine Learning Engineers to help them build innovative products and services.
You can find job listings for Machine Learning Engineers on websites such as LinkedIn, Indeed, and Glassdoor. Additionally, joining communities such as the Tech Workers Club Slack can provide you with networking opportunities and connect you with potential employers.
Online Courses for Machine Learning Engineering
There are many online courses and tutorials available for individuals who want to learn about Machine Learning Engineering. Some popular online platforms for learning include Coursera, Udemy, and edX. These platforms offer courses in a variety of subjects, from the basics of machine learning to advanced topics such as deep learning and natural language processing.
Some popular courses for Machine Learning Engineering include:
Machine Learning classes on Udemy
Machine Learning classes on Linkedin Learning
Deep Learning Specialization by Andrew Ng on Coursera
With the right skills and experience, you can land a high-paying job at some of the biggest tech companies in the world or work on innovative projects at smaller startups. By participating in open-source projects, attending meetups and conferences, and taking online courses, you can build your skills and gain experience in this exciting field. So if you are passionate about machine learning and want to make a difference in the tech industry, consider pursuing a career in Machine Learning Engineering.
Data Scientist:
You may already know that nowadays, Data scientists play a crucial role in analyzing large amounts of data and unlocking insights that can drive business decisions. In this article, I will describe what it takes to become a data scientist, how much it pays, companies that are hiring data scientists, and the type of online courses you should take to get started.
How to Get a Data Scientist Job
To become a data scientist, you need to have a solid foundation in statistics, programming, and machine learning. Many employers also require a degree in a related field such as statistics, computer science, or mathematics. However, a degree is not always necessary, and many data scientists are self-taught.
One of the best ways to gain experience and build your skills as a data scientist is by participating in open-source projects, attending meetups and conferences, and building your own projects. Additionally, online courses and tutorials can help you get started with the basics of data science and give you a better understanding of the field.
Salary of a Data Scientist
Data scientists are in high demand and can earn competitive salaries. According to Glassdoor, the average salary for a data scientist in the United States is $113,309 per year. However, salaries can vary depending on factors such as location, experience, and company size.
Companies Hiring Data Scientists
There are many companies that are hiring data scientists. Some of the biggest tech companies in the world, such as Google, Facebook, and Amazon, are always on the lookout for skilled professionals in this field. However, there are also many smaller startups and companies that are looking for data scientists to help them analyze and make sense of their data.
You can find job listings for data scientists on websites such as LinkedIn, Indeed, and Glassdoor. Additionally, joining communities such as the Tech Workers Club Slack can provide you with networking opportunities and connect you with potential employers.
Online Courses for Data Science
There are many online courses and tutorials available for individuals who want to learn about data science. Some popular online platforms for learning include Coursera, Udemy, and Linkedin Learning. These platforms offer courses in a variety of subjects, from the basics of statistics and programming to advanced topics such as deep learning and natural language processing.
Data science is a highly in-demand career that offers great opportunities for those interested in analyzing data and unlocking insights that can drive business decisions. By building your skills through online courses and projects, and networking with communities like the Tech Workers Club Slack, you can find rewarding work as a data scientist in companies both large and small.
AI Research Scientist:
I have had the privilege of working on cutting-edge projects that are advancing the frontiers of AI technology. In this article, I will discuss what it takes to become an AI research scientist, how much it pays, companies that are hiring AI research scientists, and the type of online courses you should take to get started.
How to Get an AI Research Scientist Job
To become an AI research scientist, you typically need a Ph.D. in computer science, electrical engineering, or a related field. In addition, you need to have a strong background in mathematics, statistics, and computer science. Many employers also require research experience in AI or a related field.
One of the best ways to gain experience and build your skills as an AI research scientist is by participating in research projects, attending conferences, and publishing papers. Additionally, online courses and tutorials can help you get started with the basics of AI and give you a better understanding of the field.
Salary of an AI Research Scientist
AI research scientists are in high demand and can earn very competitive salaries. According to Glassdoor, the average salary for an AI research scientist in the United States is $127,610 per year. However, salaries can vary depending on factors such as location, experience, and company size.
Companies Hiring AI Research Scientists
There are many companies that are hiring AI research scientists. Some of the biggest tech companies in the world, such as Google, Microsoft, and Amazon, are always on the lookout for skilled professionals in this field. However, there are also many smaller startups and research institutions that are looking for AI research scientists to help them advance their AI technologies.
You can find job listings for AI research scientists on websites such as LinkedIn, Indeed, and Glassdoor. Additionally, joining communities such as the Tech Workers Club Slack can provide you with networking opportunities and connect you with potential employers.
Online Courses for AI Research Science
There are many online courses and tutorials available for individuals who want to learn about AI research science. Some popular online platforms for learning include Coursera, Udacity, and edX. These platforms offer courses in a variety of subjects, from the basics of machine learning and deep learning to advanced topics such as natural language processing and computer vision.
AI research science is a highly specialized field that offers great opportunities for those interested in advancing the frontiers of AI technology. By obtaining a Ph.D. in a related field, participating in research projects, and building your skills through online courses and projects, you can find rewarding work as an AI research scientist in companies both large and small. Joining communities like the Tech Workers Club Slack can also provide you with networking opportunities and help you connect with potential employers.
Natural Language Processing (NLP) Engineer:
In this article, I will discuss how to become an NLP engineer, how much it pays, companies that are hiring NLP engineers, and the type of online courses you should take to get started.
How to Get a Natural Language Processing (NLP) Engineer Job
To become an NLP engineer, you typically need a Bachelor’s or Master’s degree in Computer Science, Linguistics, or a related field. In addition, you need to have a strong understanding of programming languages such as Python and experience in machine learning, data science, and natural language processing.
One of the best ways to gain experience and build your skills as an NLP engineer is by participating in research projects, attending conferences, and publishing papers. Additionally, online courses and tutorials can help you get started with the basics of NLP and give you a better understanding of the field.
Salary of a Natural Language Processing (NLP) Engineer
NLP engineers are in high demand and can earn very competitive salaries. According to Glassdoor, the average salary for an NLP engineer in the United States is $112,623 per year. However, salaries can vary depending on factors such as location, experience, and company size.
Companies Hiring Natural Language Processing (NLP) Engineers
There are many companies that are hiring NLP engineers. Some of the biggest tech companies in the world, such as Google, Amazon, and Microsoft, are always on the lookout for skilled professionals in this field. However, there are also many smaller startups and research institutions that are looking for NLP engineers to help them advance their NLP technologies.
You can find job listings for NLP engineers on websites such as LinkedIn, Indeed, and Glassdoor. Additionally, joining communities such as the Tech Workers Club Slack can provide you with networking opportunities and connect you with potential employers.
Online Courses for Natural Language Processing (NLP) Engineer
There are many online courses and tutorials available for individuals who want to learn about NLP. Some popular online platforms for learning include Coursera, Udacity, and edX. These platforms offer courses in a variety of subjects, from the basics of NLP to advanced topics such as deep learning for NLP.
By obtaining a degree in a related field, participating in research projects, and building your skills through online courses and projects, you can find rewarding work as an NLP engineer in companies both large and small. Joining communities like the Tech Workers Club Slack can also provide you with networking opportunities and help you connect with potential employers.
AI Product Manager:
Let’s see how to become an AI Product Manager, how much it pays, companies that are hiring AI Product Managers, and the type of online courses you should take to get started.
How to Get an AI Product Manager Job
To become an AI Product Manager, you typically need a Bachelor’s or Master’s degree in Computer Science, Engineering, Business Administration, or a related field. In addition, you need to have a strong understanding of AI technologies, as well as product management, market research, and customer insights.
One of the best ways to gain experience and build your skills as an AI Product Manager is by working on AI projects, participating in hackathons and conferences, and networking with other professionals in the field. Additionally, online courses and tutorials can help you get started with the basics of AI and product management, and give you a better understanding of the field.
Salary of an AI Product Manager
AI Product Managers are in high demand and can earn very competitive salaries. According to Glassdoor, the average salary for an AI Product Manager in the United States is $123,354 per year. However, salaries can vary depending on factors such as location, experience, and company size.
Companies Hiring AI Product Managers
There are many companies that are hiring AI Product Managers. Some of the biggest tech companies in the world, such as Amazon, Google, and Microsoft, are always on the lookout for skilled professionals in this field. However, there are also many smaller startups and research institutions that are looking for AI Product Managers to help them advance their AI technologies.
You can find job listings for AI Product Managers on websites such as LinkedIn, Indeed, and Glassdoor. Additionally, joining communities such as the Tech Workers Club Slack can provide you with networking opportunities and connect you with potential employers.
Online Courses for AI Product Manager
There are many online courses and tutorials available for individuals who want to learn about AI Product Management. Some popular online platforms for learning include Coursera, Udacity, and edX. These platforms offer courses in a variety of subjects, from the basics of AI to advanced topics such as AI for product management.
Some popular courses for AI Product Management include:
AI for Everyone by Andrew Ng on Coursera
Product Management with AI by IBM on Coursera
Machine Learning for Product Managers by Andrew Chen on Udacity
AI Product Manager Certification by Product School
H2: Conclusion
AI Product Management is a rapidly growing field that offers great opportunities for those interested in leveraging AI to create products that solve real-world problems. By obtaining a degree in a related field, working on AI projects, and building your skills through online courses and projects, you can find rewarding work as an AI Product Manager in companies both large and small. Joining communities like the Tech Workers Club Slack can also provide you with networking opportunities and help you connect with potential employers.
AI Ethicist:
How to Get an AI Ethicist Job
To become an AI Ethicist, you typically need a Bachelor’s or Master’s degree in Computer Science, Philosophy, Ethics, or a related field. In addition, you need to have a strong understanding of AI technologies, as well as ethical theories and principles, such as fairness, transparency, accountability, and privacy.
One of the best ways to gain experience and build your skills as an AI Ethicist is by working on AI projects, participating in conferences and workshops, and collaborating with other professionals in the field. Additionally, online courses and tutorials can help you get started with the basics of AI ethics, and give you a better understanding of the field.
Salary of an AI Ethicist
AI Ethicists are in high demand and can earn competitive salaries. According to Glassdoor, the average salary for an AI Ethicist in the United States is $100,141 per year. However, salaries can vary depending on factors such as location, experience, and company size.
Companies Hiring AI Ethicists
Many companies are now hiring AI Ethicists to ensure the ethical and responsible use of AI technologies. Some of the biggest tech companies in the world, such as Microsoft, Google, and IBM, are actively looking for skilled professionals in this field. Additionally, many startups and research institutions are seeking AI Ethicists to help them navigate the ethical challenges of AI.
You can find job listings for AI Ethicists on websites such as LinkedIn, Indeed, and Glassdoor. Additionally, joining communities such as the Tech Workers Club Slack can provide you with networking opportunities and connect you with potential employers.
Online Courses for AI Ethicists
There are many online courses and tutorials available for individuals who want to learn about AI Ethics. Some popular online platforms for learning include Coursera, edX, and FutureLearn. These platforms offer courses in a variety of subjects, from the basics of AI Ethics to advanced topics such as the ethics of autonomous vehicles.
Some popular courses for AI Ethics include:
AI Ethics: Global Perspectives on Ethics in AI by Santa Clara University on edX
AI and Ethics by IBM on Coursera
Ethics and Law in Data and Analytics by MIT on edX
The Ethics of Autonomous Vehicles by University of Michigan on Coursera
AI Ethics is a growing field that offers great opportunities for those interested in ensuring the ethical and responsible use of AI technologies. By obtaining a degree in a related field, working on AI projects, and building your skills through online courses and projects, you can find rewarding work as an AI Ethicist in companies both large and small. Joining communities like the Tech Workers Club Slack can also provide you with networking opportunities and help you connect with potential employers.
AI prompt engineer
AI Prompt Engineers are responsible for developing the language models and algorithms that underlie AI chatbots, virtual assistants, and other conversational agents. In this article, we’ll explore how to become an AI Prompt Engineer, how much you can expect to earn, which companies are hiring, and what online courses can help you break into this field.
What is an AI Prompt Engineer?
An AI Prompt Engineer is responsible for developing the language models and algorithms that drive conversational AI systems. These systems include virtual assistants like Siri, chatbots, and other AI-powered conversational agents. These systems use natural language processing (NLP) and machine learning to understand user inputs and generate appropriate responses.
AI Prompt Engineers are responsible for creating the prompts, or messages, that these systems use to interact with users. This involves developing algorithms that can generate coherent, contextually appropriate responses based on user inputs. AI Prompt Engineers must have expertise in NLP, machine learning, and software engineering.
How to become an AI Prompt Engineer?
To become an AI Prompt Engineer, you typically need a strong foundation in computer science, mathematics, and statistics. A bachelor’s degree in computer science, software engineering, or a related field is usually required, and many employers prefer candidates with a master’s degree in computer science or a related field.
In addition to a strong academic background, AI Prompt Engineers should have experience with machine learning algorithms, natural language processing, and software engineering. Proficiency in programming languages such as Python, Java, and C++ is also essential. Experience with deep learning frameworks like TensorFlow and PyTorch is a plus.
AI Prompt Engineers should also be familiar with common NLP libraries and tools like spaCy, NLTK, and GPT-3. These tools enable engineers to build and test language models that can understand and generate human-like responses to user inputs.
How much do AI Prompt Engineers earn?
According to Glassdoor, the average salary for an AI Prompt Engineer in the United States is around $121,000 per year. However, this can vary depending on factors such as location, experience, and industry. Some companies offer salaries of up to $200,000 per year for experienced AI Prompt Engineers.
Companies hiring AI Prompt Engineers
Many companies are hiring AI Prompt Engineers to work on projects ranging from chatbots and virtual assistants to voice-activated devices. Some of the top companies hiring AI Prompt Engineers include:
Amazon
Google
Microsoft
Apple
Facebook
IBM
Online courses for AI Prompt Engineers
If you’re interested in becoming an AI Prompt Engineer, there are many online courses and resources available to help you get started. Here are some popular online courses that can help you develop the skills you need to break into this field:
Natural Language Processing Specialization on Coursera
Deep Learning Specialization on Coursera
AI for Everyone on Coursera
Natural Language Processing with Python on Udemy
Advanced Natural Language Processing on Udemy
To become an AI Prompt Engineer, you’ll need a strong background in computer science, mathematics, and statistics, as well as experience with machine learning, NLP, and software engineering. With the right skills and qualifications, you can find opportunities at top tech companies and work on exciting projects in the AI space. Joining the tech workers club slack community can also help you network and find job opportunities in this field.
Our mission
"We are building the greatest tech community where members hiring, connect with members that are looking for new job opportunities."
Contact
President
Director of the community
Steve
[email protected]