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Adoption of artificial intelligence (AI) has more than doubled globally since 2017, according to a state of AI report from McKinsey from late 2022, and the level of investment has increased as well.
Five years ago, 40% of organizations using AI said that over 5% of their digital budgets was spent on AI. Now, 52% report that level of investment, and things look set to improve further with 63% of respondents saying they expect investment to increase over the next three years.
Rising adoption is leading to job opportunities both within the sector, and as a result of AI-driven automation. According to the International Federation of Robotics, there has been a 14% increase year-over-year in the number of automated jobs, with junior workers the most affected. Figures from the World Economic Forum predict that the rapid growth of AI will create another 95 million high-paying jobs by 2025.
Since the beginning of 2023, awareness and understanding of AI and machine learning (ML) technologies have crossed the rubicon. No longer the province of the tech-savvy, Open AI’s ChatGPT has brought about mass adoption of generative AI in particular.
Join us in San Francisco on July 11-12, where top executives will share how they have integrated and optimized AI investments for success and avoided common pitfalls.
ChatGPT is just one of an increasing number of generative AI tools, including Bing Chat and Google Bard. DeepMind’s Alpha Code writes computer programs at a competitive level; Jasper is an AI copywriter, and DALL-E, MidJourney and Stable Diffusion can all create realistic images and art from a description you provide
With the progression in AI capabilities, this is a sector that is in growth, but also one where you can build a career with plenty of prospects; the Bureau of Labor Statistics predicts a 31.4% increase in jobs for data scientists and mathematical science professionals — which are crucial to AI — by 2030.
Plus, AI and ML jobs tend to pay well. While salary will differ from role to role, the top paying states for AI, according to talent.com, are New York ($200,000), Maryland ($171,300), and Virginia ($170,000).
Want to get ahead of the crowd? The VentureBeat Job Board offers a first port of call for thousands of tech jobs — discover three interesting AI/ML roles below.
Senior Machine Learning Engineer — Data Automation, Bloomberg, New York
The Data Automation team at Bloomberg develops machine learning models and infrastructure to extract key information from all kinds of financial documents. As Senior Machine Learning Engineer — Data Automation, you will own the research on ground-breaking ML/NLP techniques and design efforts for the most efficient and practical application of those techniques to sophisticated business problems. You will use our automated ML suite, equipped with annotation platforms, for collecting training data and hyper-tuning models, as well as deploy your application on our scalable ETL infrastructure. You’ll need to have four or more years’ of experience with an object-oriented programming language such as Java or Python, and have subject matter expertise in one or more of the following: artificial intelligence (AI), natural language processing (NLP), machine learning (ML), statistical models, and text analytics on large data sets. Interested? See the full job description here.
Software Engineer — ML Systems (Technical Leadership), Meta, Remote
Meta is seeking a Software Engineer — ML Systems (Technical Leadership) to join its research and development teams. You will drive the organization’s goal towards relevant machine learning techniques, and build and optimize intelligent systems that improve Meta’s products and experiences. You will also assist in goal setting related to project impact, AI system design, and ML excellence, develop custom/novel architectures, define use cases, and develop methodology and benchmarks to evaluate different approaches. A Bachelor’s degree in computer science, computer engineering, a relevant technical field, or equivalent practical experience is required, as is vast experience communicating and working across functions to drive solutions. Experience developing AI algorithms or AI-system infrastructure in C/C++ or Python is also a requirement. See all the details for this job.
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