Machine Learning Classes & Bootcamps NJ

Learn More About Machine Learning Classes & in New Jersey

New Jersey has a unique machine learning environment, one that spans the whole state and consists of several thriving economic centers. Many research centers and corporate headquarters throughout the state are hoping to acquire machine learning talent in fields like finance, pharmaceuticals, and technology consulting. There are currently over 1,100 job openings in artificial intelligence (AI)-related career paths in the state. This highlights the fact that the state is a corporate corridor located between Philadelphia and New York City. The broader New Jersey region, which includes Newark and Jersey City, has an especially high demand for AI and machine learning talent. At the beginning of this year, the greater New York area was ranked first for job postings in AI out of U.S. metros, and many of these professional opportunities were located in New Jersey.

According to Talent.com, the average yearly salary for a Machine Learning Engineer in New Jersey is $174,000. New Jersey is evolving into a “second-tier” location for AI talent, largely due to the area’s recent industry growth and the spillover of tech professionals from New York City. Currently, about 40% of NJ firms use, or plan to adopt, AI practices in the near future. As more New Jersey companies continue to adopt AI practices, the demand for machine learning professionals is expected to remain strong and grow in cities like Princeton and Jersey City. 

Industries in New Jersey That Use Machine Learning 

The economy in New Jersey is fueled by key industries like finance, pharmaceuticals, transportation and logistics, and manufacturing. The following sections will take a closer look at each industry, as well as the role machine learning plays in it.

• Finance: New Jersey’s finance industry plays an essential role in the state’s economy and accounts for nearly 7% of the GDP. About 7% of private sector jobs in the state are in finance-related careers. Those who are employed in this industry rely on machine learning techniques to pinpoint risks based on historical data. Machine learning also has applications for evaluating potential outcomes and creating strategies to manage risk. 
• Pharmaceuticals: New Jersey’s pharmaceutical industry is one of the biggest in the country. It’s a key player in the state’s economy, as well as a major employer. Currently, 14 of the 20 top pharma companies in the U.S. are located in the state. The life science sector includes universities, research institutions, and a deep pool of engineering and science talent. Machine learning helps those who work with pharmaceuticals provide personalized treatment for patients, discover and develop new drugs, and streamline the clinical trial process.
• Transportation & Logistics: Transportation and logistics are another prominent NJ industry. The state enjoys a well-developed transportation infrastructure, as well as a prime East Coast location, which makes it a great location for international trade. One of the country’s largest ports is located in the state. Additionally, there are vast rail and road networks, which help to move people and products. In this industry, machine learning has applications for demand forecasting, route optimization, and predictive maintenance. 
• Manufacturing: Another prominent New Jersey industry is manufacturing. The state is home to more than 9,000 manufacturing establishments that employ a quarter-million people. Each year, this industry contributes between $50 billion and $54 billion to the state’s GDP in sectors like chemicals, pharmaceuticals, and food processing. Additionally, more than 2,500 advanced manufacturing facilities are located throughout the state. In manufacturing, machine learning helps with tasks like analyzing huge volumes of data pertaining to processes and sensors so that all components of the manufacturing lifecycle can be optimized. This includes quality control, predictive maintenance, and supply chain management. 

Machine Learning Career Paths & Salary Ranges in New Jersey

Salary ranges for machine learning careers in New Jersey are competitive and are usually in line with the national averages. AI/Machine Learning Engineers employed in the state make $148,000-$158,000 a year. According to Indeed, this is on par with the national average. Some salaries are lower (less senior roles, for example, pay closer to $117,000, whereas those with years of experience can make upwards of $200,000 as a base salary. Jobs in the finance sector typically command higher pay rates. For example, Senior AI Engineers who work in FinTech or banking can make more than $200,000 annually (this estimate includes bonuses). 

According to Indeed, New Jersey-based Data Scientists earn about $104,000-$114,000 yearly. This range is 15% lower than the national average for this profession. Data Scientists who are employed in a New York City-based firm can expect to earn more. Data Scientists who work for a finance company or with major pharmaceuticals often receive bonuses and total packages that raise their salaries. Senior positions like Director of AI or Lead Data Scientist offer very competitive salary ranges that can reach $250,000 or more a year.

Machine Learning Employers in New Jersey

Machine learning jobs in New Jersey take many forms, including career paths in biotech, pharmaceuticals, financial services, insurance, and technology. The following are several employers in this region interested in hiring machine learning talent:

• Pharmaceutical companies like Merck, Johnson & Johnson, Novartis, and Bristol-Myers Squibb each have major operations in the state and are looking to hire Data Scientists to help with drug discovery. 
• In the financial services industry, employers like Prudential Financial are headquartered in Newark. The insurance provider Chubb is located in Warren. Additionally, Wall Street banks like JPMorgan and Goldman Sachs have analytics and tech offices in Jersey City. They’re interested in acquiring machine learning talent to help with risk modeling, FinTech, and algorithmic trading.
• In technology and telecommunications, employers like AT&T and Verizon have a presence in this region, as do Cognizant and Infosys. According to Indeed, they each hire AI specialists. 
• Caterpillar, a manufacturing and logistics firm, has an NJ facility. Additionally, Amazon and UPS each have fulfillment tech hubs in the state and are looking to hire machine learning experts to help with automation and optimization.
• In government and defense, employers like Picatinny Arsenal have job openings in AI.
• State Street, which is located in Clifton, is looking to acquire AI Developers. 
• Wells Fargo is seeking Machine Learning and AI Leads to help with their banking efforts. 
• AI Architects are needed at Munich Re in Princeton.
• In the academic sector, major universities like Princeton and Rutgers often look to acquire machine learning talent to assist with research and teaching.
• Companies in New Jersey that focus primarily on AI are also looking to hire talent. Job openings are currently posted by companies like Krazimo Private Unlimited, Aristech Systems, Inoxoft, Vention, and SDLC Corp. 

Regional Machine Learning & Technology Trends in New Jersey

New Jersey is home to many tech giants and is also an extension of prominent tech markets in nearby hubs like Philadelphia and New York City. This mix has led to many machine learning career paths across industries. The state’s job market is strong, and many career opportunities are available with some of the biggest tech companies in the world for Machine Learning Engineers and Data Scientists. Hiring patterns are expected to remain steady during the next few years, as more firms throughout the state continue to implement AI to improve productivity.

There’s currently a surge in New Jersey in fields like cybersecurity, AI, and cloud computing. The state continues to work to develop AI-based solutions in sectors like finance and healthcare. It also invests in AI infrastructure to help with workforce development. As more organizations experience cybersecurity threats, the state is also seeing a huge spike in the need for qualified cybersecurity professionals in cities like Newark. As more NJ companies incorporate cloud-based solutions to address data processing, data storage, and application deployment, the state is seeing an increasing need for cloud computing professionals. 

Another trend of note in New Jersey is that policymakers are looking into adopting quantum computing technology to address challenges in fields like logistics, pharmaceuticals, and finance. The state is also developing 6G technology, which is leading to faster speeds and facilitating real-time AI apps. Additionally, more data than ever is being analyzed in the state to improve public services, help businesses grow, and facilitate decision-making. Major tech hubs like Jersey City focus largely on software development and data analysis. Newark is seeing rapid tech expansion in fields like finance, IT, and healthcare. Because of its close proximity to New York City, New Jersey benefits from a diverse tech talent pool and continues to invest in its AI infrastructure.