MACHINE LEARNING TECHNOLOGIES H-1B Visa Sponsorship & Salary Data

The median H-1B salary at MACHINE LEARNING TECHNOLOGIES is $76,752, based on 378 certified filings from FY 2020 to FY 2025. This is 36% lower than the national H-1B median salary of $120,000. Compensation at MACHINE LEARNING TECHNOLOGIES reflects their market positioning, with entry-level roles starting around $66,310 and senior positions reaching $105,227 or higher. These figures represent base salaries in LCA filings and may not include bonuses, equity grants, or other compensation common at large employers.

Salaries at MACHINE LEARNING TECHNOLOGIES range from $53,082 at the 10th percentile to $105,227 at the 90th percentile, showing a $52,145 spread across experience levels and roles. The 25th percentile is $66,310 and the 75th percentile is $92,414.

Yes, MACHINE LEARNING TECHNOLOGIES actively sponsors H-1B visas and has been a consistent participant in the H-1B program. They have filed 380 H-1B labor condition applications from FY 2020 to FY 2025, demonstrating ongoing commitment to hiring international talent. With 378 certified applications and a 0% denial rate, MACHINE LEARNING TECHNOLOGIES maintains a strong track record for H-1B sponsorship. The company sponsors positions across multiple job categories and locations, making them a viable option for professionals seeking H-1B visa sponsorship.

In the most recent fiscal year (FY 2025), MACHINE LEARNING TECHNOLOGIES filed 20 H-1B applications, with 20 certified and 0 denied. Over 6 years of data, MACHINE LEARNING TECHNOLOGIES has consistently demonstrated commitment to H-1B sponsorship.

Note: These are Labor Condition Applications (LCAs) filed with the Department of Labor, which is a prerequisite for H-1B petitions. The actual number of H-1B petitions filed with USCIS may differ.

MACHINE LEARNING TECHNOLOGIES's LCA (Labor Condition Application) denial rate is 0%, with 0 out of 380 applications denied across all years. This translates to a 100.0% certification rate, which indicates how successfully the company prepares and files H-1B applications. A lower denial rate suggests better compliance with Department of Labor requirements, proper wage documentation, and accurate job classification. Prospective H-1B applicants should consider this approval rate alongside other factors like salary, job role, and location when evaluating MACHINE LEARNING TECHNOLOGIES as a potential H-1B sponsor.

This is an excellent approval rate, indicating MACHINE LEARNING TECHNOLOGIES has strong H-1B sponsorship practices and typically meets DOL requirements. Applicants can feel confident in the company's H-1B track record.

MACHINE LEARNING TECHNOLOGIES sponsors H-1B visas for various specialty occupation positions requiring at least a bachelor's degree. Based on 378 certified filings, the most commonly sponsored job titles reflect the company's primary business functions and talent needs. These positions typically require specialized knowledge in fields like technology, engineering, finance, or scientific research. Understanding which roles MACHINE LEARNING TECHNOLOGIES most frequently sponsors can help job seekers target their applications effectively.

Most common H-1B job titles at MACHINE LEARNING TECHNOLOGIES:

The most frequently sponsored role is Software Developer with 40 filings at a median salary of $77,189. This is followed by Java Developer (28 filings) and Software Engineer.

MACHINE LEARNING TECHNOLOGIES's H-1B positions are distributed across multiple U.S. locations, with concentration in major metropolitan areas and tech hubs. Geographic distribution often reflects company office locations, client sites, and regional market demands. Location significantly impacts H-1B salary due to varying cost of living and local wage requirements. Understanding where MACHINE LEARNING TECHNOLOGIES sponsors H-1B workers can help candidates target specific offices and negotiate appropriate compensation for each market.

Top MACHINE LEARNING TECHNOLOGIES H-1B locations:

The largest H-1B hub for MACHINE LEARNING TECHNOLOGIES is Plano, TX with 16 filings at a median salary of $76,898. The highest-paying location is New York, NY at $116,251 median. Salaries range from $53,082 to $116,251 across office locations.

MACHINE LEARNING TECHNOLOGIES's median H-1B salary has increased by +18% from FY 2020 ($71,386) to FY 2025 ($84,094). Tracking salary trends over time reveals how MACHINE LEARNING TECHNOLOGIES adjusts compensation to remain competitive in the H-1B labor market. Salary growth typically reflects inflation adjustments, increased demand for specialized skills, and evolving prevailing wage requirements. These historical trends can help applicants understand future salary expectations and negotiate appropriately when considering H-1B opportunities at MACHINE LEARNING TECHNOLOGIES.

Year-by-year breakdown:

• FY 2021: $92,893 (111 certified)
• FY 2022: $72,883 (229 certified)
• FY 2023: $78,749 (3 certified)
• FY 2024: $66,310 (9 certified)
• FY 2025: $84,094 (20 certified)

MACHINE LEARNING TECHNOLOGIES has maintained steady salary growth for H-1B positions over this period.

MACHINE LEARNING TECHNOLOGIES primarily files H-1B applications at Wage Level I, accounting for 99% of their filings. DOL wage levels range from Level I (entry-level, 17th percentile of local wages) to Level IV (expert, 67th percentile). Wage level determines both salary requirements and, under recent H-1B rules, lottery selection priority. Higher wage levels receive preference in the H-1B lottery, making MACHINE LEARNING TECHNOLOGIES's wage level distribution an important factor for prospective applicants assessing their chances of H-1B selection.

A significant portion of MACHINE LEARNING TECHNOLOGIES's H-1B filings are at entry-level (Level I) wages. These positions may face more competition in the H-1B lottery.

MACHINE LEARNING TECHNOLOGIES's median H-1B salary of $76,752 is 36% lower than the national H-1B median of $120,000 across all employers and industries. This comparison provides context for evaluating MACHINE LEARNING TECHNOLOGIES's competitiveness in attracting H-1B talent. Keep in mind that industry, location, and job function significantly impact salary levels. Tech companies and financial institutions typically offer higher H-1B salaries than other sectors, while salaries in major metros like San Francisco and New York exceed those in smaller markets. Compare MACHINE LEARNING TECHNOLOGIES's offerings with similar companies in your field for a more accurate assessment.

MACHINE LEARNING TECHNOLOGIES's H-1B salaries are below the national median, though this may vary significantly by role, experience level, and location. Consider researching specific positions for more accurate compensation expectations.

Recent H-1B rule changes have increased filing fees and introduced wage-level prioritization in the lottery. MACHINE LEARNING TECHNOLOGIES files 99% of positions at Level I, which may face more lottery competition under wage-level prioritization rules.

With 378 certified filings, MACHINE LEARNING TECHNOLOGIES invests significantly in H-1B sponsorship. The company's 0% denial rate suggests strong compliance with H-1B requirements and documentation standards.

Note: H-1B regulations are subject to change. Fees shown are estimates based on 2024 USCIS fee schedules. Actual costs may vary based on company size, premium processing, and future rule changes.