Updated 2020—icrunchdata is proud to publish and host the latest machine learning job board index in the field of machine learning. Here you can find the latest labor information and future trends for high growth categories of employment in the United States. This machine learning jobs report is taken from a sampling of the best machine learning job sites, our proprietary data from machine learning job boards and is compiled by our research team. This compiled research is focused around a particular skill-set, so it's inherently quite targeted yet easily digestible at a glance. We'll be adding more information to this report, so stay tuned. Learn more about our IT job board platform.
Machine learning is considered a sub specialty of computer science, and is the resulting evolution of early artificial intelligence technology. Machine learning technology can algorithmically parse data, learn from the data, and make predictive decisions around data. This is done with by way of decision trees, programmatic logic and Bayesian probability techniques. Machine learning leverages numerous algorithms in addition to Bayesian such as associated rule, clustering, decision tree, dimensionality reduction, deep learning, ensemble, memory-based, neural networks regression, regularization and support vector machines. Many data scientists use the finding of machine learning to help understand complex models and uncover insights, which can then drive many business decisions. Historically, programmatic logic is explicit in that machines can do a task as directed by code, which carries the inherent limitation of the embedded coding itself, and the minds behind it. However, machine learning has the tremendous leverage of learning from implicit directives, and arriving at outcomes that would not have otherwise been known. It’s this data that which can be utilized for advanced analytics, and advanced decision making. From machine learning derives a very practical technology called deep learning, which can be valuable for specific tasks such as facial recognition, image recognition, self-driving vehicles, weather patterns and even preventative healthcare.
There is much yet to discover in the frontier of machine learning, and many experts would agree we are only at the dawn of this new era of cognitive computing. The applications for machine learning for business and day to day life is quite staggering. The onset of self-driving vehicles is a relevant example of just how much impact machine learning jobs could make on the transportation industry. Similar to artificial intelligence, machine learning technology comes with many debatable topics regarding ethics, privacy, security and public safety. These issues will need to be navigated and resolved legislators, commercial business and the public. This is true with any new frontier in technology. As machine learning evolves there will be many emerging benefits that come into focus such as advanced natural language processing (NLP), collaborative learning, reinforcement learning and increased automation; especially in repetitive tasks. Machine learning will continue to greatly impact the industry of internet-of-things (IoT), as its cognitive abilities can be valuable in millions of devices. More information on IoT jobs can be found here. Now let’s take a look at some career related considerations for machine learning jobs and how that affects employment in the field.
The employment niche of machine learning is beginning to explode. This is a very good place to position one’s self for rapid career advancement. There is a worldwide shortage of talent and the expertise needed is quite vast. Like many careers related to data science, unique skill-sets such as neural networks for example, are in high demand. Although university programs tend to be educating more so in the broader field of computer science and data science, there are still ways to enter the market by achieving specialized skills in statistics, predictive analytics, advanced computation, deep learning, natural language processing, python programming and even software engineering. These unique skill-sets are in high demand and easily crossover to many data science jobs, analytics jobs and even cybersecurity jobs. Finding the right job in the machine learning field will not be easy, but it’s a good practice to align yourself with the right communities and platforms for professional networking. Many of the social platforms would be a good place to align with colleagues in the industry. Also, icrunchdata is a great place to stay informed of latest news and employers that are hiring. You can find many machine learning jobs here on icrunchdata by searching for popular titles listed below or customizing your job search. And be sure to check out our pro tips for job seekers.
1. Machine Learning Engineer
2. Machine Learning Scientist
3. Machine Learning Researcher
4. Machine Learning Developer
5. Machine Learning Architect
To bring our audience and the general community additional value, icrunchdata has started to release summary reports, trends, and relevant analysis related to jobs in the field including the data scientist salary report and the data science jobs index report.
1. Analytics Job Board Index
2. Artificial Intelligence Job Board Index
3. Big Data Job Board Index
4. Cybersecurity Job Board Index
5. Data Job Board Index
6. Data Analyst Job Board Index
7. Data Science Job Board Index
8. Hadoop Job Board Index
9. Internet of Things - IoT Job Board Index
10. IT Job Board Index
11. SAS Job Board Index
12. Statistics Job Board Index