Are you a Machine Learning enthusiast looking to take your career to the next level? The world of Machine Learning is evolving rapidly, with advancements in technology driving innovation across various industries. As a result, demand for skilled professionals in this field is skyrocketing, making it an excellent time to consider pursuing a Master’s degree in Machine Learning in the US. In this blog, we will explore the many exciting career opportunities available to international students after completing their MS in Machine Learning in the US. From Silicon Valley startups to Fortune 500 companies, the possibilities are endless. So, let’s dive in and explore the world of Machine Learning career paths!
Overview of the Machine Learning Job Market in the US:
The demand for Machine Learning professionals in the US is on the rise. According to a report by LinkedIn, Machine Learning Engineering has been listed as one of the top emerging jobs in the US, with a 344% increase in job postings since 2019. The report also states that there is a huge demand for Machine Learning Engineers, Data Scientists, and Big Data Engineers.
Popular Career Paths for Machine Learning Graduates:
Machine Learning Engineer:
Machine Learning Engineers design, develop, and deploy machine learning algorithms and models. They work on developing and improving software algorithms that enable machines to learn and perform tasks without being explicitly programmed. Machine Learning Engineers use a variety of tools and programming languages such as Python, TensorFlow, and PyTorch, to develop and test models that can be deployed in real-world applications. The average salary for a Machine Learning Engineer in the US is $112,000 per year.
Data Scientist:
Data Scientists collect, analyze, and interpret complex data to derive insights and create predictive models. They work with large and complex datasets to identify patterns and trends, and then use machine learning algorithms to develop predictive models. Data Scientists use a variety of tools and programming languages such as R, Python, and SQL to collect and analyze data. The average salary for a Data Scientist in the US is $113,000 per year.
Big Data Engineer:
Big Data Engineers design and develop large-scale data processing systems. They work with massive datasets, and their job involves designing and implementing data processing systems that can handle the volume, variety, and velocity of data. Big Data Engineers use a variety of tools and programming languages such as Hadoop, Spark, and Scala to design and develop data processing systems. The average salary for a Big Data Engineer in the US is $100,000 per year.
Business Intelligence Analyst:
Business Intelligence Analysts use data to identify business trends and opportunities. They work with large and complex datasets to identify patterns and trends that can help businesses make informed decisions. Business Intelligence Analysts use a variety of tools and programming languages such as SQL, Tableau, and Excel to collect and analyze data. The average salary for a Business Intelligence Analyst in the US is $76,000 per year.
Salary Expectations for Machine Learning Jobs:
The salaries for Machine Learning jobs in the US vary depending on the position, location, and company. According to Glassdoor, the average salary for a Machine Learning Engineer in the US is $112,000 per year. The average salary for a Data Scientist is $113,000 per year, while the average salary for a Big Data Engineer is $100,000 per year.
Job Search Strategies for International Students:
International students looking for Machine Learning jobs in the US can follow these job search strategies:
- Networking: Attend career fairs and networking events to meet professionals in the field and learn about job openings.
- Online Job Boards: Use online job boards such as LinkedIn, Glassdoor, and Indeed to search for job openings.
- Company Websites: Visit the websites of companies that are hiring Machine Learning professionals and apply for jobs directly.
- Work Visa Options for International Students:
- International students who want to work in the US after completing their MS in Machine Learning can apply for the following work visas:
- H-1B Visa: This visa is for skilled workers in specialty occupations, including Machine Learning professionals.
- Optional Practical Training (OPT): International students who have completed their degree can apply for OPT, which allows them to work in the US for up to 12 months.
Industry and Professional Associations:
Joining industry and professional associations can be beneficial for Machine Learning professionals. These associations provide opportunities for networking, professional development, and access to industry resources. Some of the associations for Machine Learning professionals in the US are:
- Association for Computing Machinery (ACM)
- Institute of Electrical and Electronics Engineers (IEEE)
- American Statistical Association (ASA)
Conclusion:
Machine Learning is a rapidly growing field, and there is a huge demand for professionals in the US. Machine Learning graduates can pursue various career paths such as Machine Learning Engineer, Data Scientist, Big Data Engineer, and Business Intelligence Analyst. The salaries for Machine Learning jobs in the US are lucrative, and international students can apply for work visas such as H-1B Visa and Optional Practical Training (OPT) to work in the US. Joining industry and professional associations can also be beneficial for Machine Learning professionals.
