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Machine-Learning Experts Can Earn up to $160,000 With These Skills

Machine-learning jobs are one of the hottest and highest-paid jobs in tech.
Data scientists and other roles can make upward of $160,000.
Insider compiled 10 concepts and skills companies look for when hiring machine-learning experts.
Most modern products and tools have at least some artificial intelligence or machine-learning element. From personalized search results to photo-identifying tools, experts use various tools and techniques evolving at a blistering pace to build those algorithms.

As a result, it’s now one of the hottest and highest-paid jobs in tech. Some roles might require high-level degrees to work on the most cutting-edge tech, but experience with a few tools and mathematics can still get candidates jobs.

That includes several different roles, like data scientists that analyze massive datasets for trends to inform company decisions. They earn $122,431, according to a sampling of data based on H-1B visa applications from 2021. The US Citizenship and Immigration Services office requires companies to disclose salary information on H-1B visa applications when hiring international workers. The data doesn’t include additional compensation like cash bonuses or stock awards.

Data scientists for production models earn $143,960, according to the H-1B data. Advanced data scientists generally build machine-learning models that work within products, like personalization algorithms. Or workers can pursue the emerging field of machine-learning engineers, which put the models into production and fine-tune them. They earn $159,775, according to the H-1B data.

At the top of the pay scale, research scientists work at the cutting edge of AI, developing new techniques for complex models. These employees often have extensive experience, education, or both, and they earn $161,944, according to H-1B data.

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