Machine Learn
Showing salary data for 95 Machine Learn positions
In-depth H-1B visa salary data for Machine Learn positions across the United States. Explore compensation trends, top employers, and geographic distribution for this specialty occupation. Compare wages across different companies and cities.
Job Title Stats
Total Positions
95
Average Salary
$175,025.87
About Machine Learn
The role of a Machine Learning Engineer is increasingly vital in today's data-driven landscape, with an average salary of approximately $189,000. These professionals are responsible for designing, implementing, and optimizing machine learning models to solve complex problems across various industries. Key responsibilities include data analysis, algorithm development, and collaboration with cross-functional teams to integrate machine learning solutions into products. Required skills typically include proficiency in programming languages such as Python and R, experience with machine learning frameworks, and a strong understanding of statistics and data science. The demand for machine learning engineers is robust, with 54 H-1B positions available in 2024, making this an attractive option for international professionals seeking visa sponsorship. The growth potential in this field is significant, driven by advancements in AI and big data, ensuring a promising career trajectory.
Monthly H-1B Job Count & Salaries
Top Locations for Machine Learn
* Dominance shows what proportion of all H-1B jobs in each city are for the Machine Learn role.
💰 Salary Trends & Insights
The salary trends for Machine Learning positions from October 2022 to June 2025 show a significant increase in compensation. The average salary rose from $72,384 in October 2022 to $207,296 by June 2025, reflecting a robust growth trajectory. Notably, 2024 saw a peak in job postings with 54 positions and an average salary of $165,950, while 2025 continued this upward trend with an average salary of $191,951 across 39 postings. The highest salaries were recorded in late 2024 and early 2025, indicating a strong demand for skilled professionals in this field.