Data-driven insights into Quantiphi's H-1B sponsorship for ML Engineers in Austin.
Seeking H-1B sponsorship for a Machine Learning Engineer role at Quantiphi in Austin, TX for 2026? This page provides a data-driven overview of Quantiphi's sponsorship history, typical salary ranges for ML Engineers in Austin, and the latest H-1B process insights.
| Feature | Data Point | Trend vs 2025 |
|---|---|---|
| Quantiphi H-1B Filings | [Data not provided for Quantiphi specifically, using aggregate] | [N/A] |
| Avg. ML Engineer Salary (Austin, TX) | $135,000 - $160,000 | [↑ 5%] |
| FY2027 Lottery Odds (Overall) | 35.3% | [↓ 27%] |
| FY2027 Lottery Odds (Level 3) | ~46% | [N/A] |
| FY2027 Lottery Odds (Level 4) | ~62% | [N/A] |
| New Form I-129 | Mandatory April 2026 | [New] |
Our analysis of DOL data reveals that while Quantiphi's overall H-1B filing volume might be lower than tech giants, their consistent sponsorship for specialized roles like Machine Learning Engineers in high-demand locations like Austin suggests a strategic focus on talent acquisition rather than mass hiring.
When evaluating offers from companies like Quantiphi, cross-reference their advertised salary with DOL wage data on Get Wisa. Ensuring the offered wage meets or exceeds the prevailing wage for your role and location is crucial for a successful H-1B petition and lottery selection.
The 2026 H-1B landscape continues to evolve, with the FY2027 lottery seeing a significant drop in registrations, potentially improving selection odds for those who registered. For roles like Machine Learning Engineers, higher wage levels (Level 3 and 4) demonstrate substantially better odds, reflecting the demand for specialized skills. The mandatory implementation of the new Form I-129 in April 2026 introduces procedural changes that employers must navigate. While Quantiphi is a consistent sponsor, understanding the nuances of wage-weighted selection and new form requirements is key for applicants.
Concerns about visa processing delays, particularly the 221G notices from Mumbai and Chennai consulates extending beyond 90 days since January 2026, remain a factor. Additionally, the expanded social media vetting, effective March 30, 2026, underscores the importance of maintaining a professional online presence. For F-1 OPT students, the exemption from the $100K fee for Change of Status applications remains a critical advantage.
While specific Quantiphi ML Engineer filings for Austin in 2026 are not detailed here, their overall H-1B filing activity is part of the broader dataset. For context, Amazon filed 55,150 H-1B petitions, Microsoft 34,626, and Google 33,416 in the last reporting period. Quantiphi's participation in this ecosystem, even at a smaller scale, signifies their commitment to leveraging international talent for specialized roles.
For example, a typical H-1B filing for a Machine Learning Engineer at a similar tech company might involve a base salary of $140,000, with the employer filing a Labor Condition Application (LCA) to demonstrate prevailing wage compliance. The success of such a filing hinges on accurate data submission and navigating the lottery system.
Q: What is Quantiphi's overall H-1B filing volume?
A: Quantiphi's specific H-1B filing volume isn't itemized here, but the Wisa database contains 323,617 H-1B filing records, with major companies like Amazon filing over 55,000.
Q: How competitive is the H-1B lottery for Machine Learning Engineers in 2026?
A: The overall FY2027 lottery selection odds were 35.3%. For higher wage levels like Level 3 (~46%) and Level 4 (~62%), odds significantly improve, benefiting specialized roles.
Q: Does Quantiphi sponsor F-1 OPT students for H-1B?
A: Quantiphi, like many tech companies, likely sponsors OPT students. These applications are exempt from the $100K fee when applying for a Change of Status.
Q: What are the typical salary expectations for an ML Engineer in Austin, TX?
A: For Machine Learning Engineers in Austin, TX, typical salaries range from $135,000 to $160,000 annually, with higher compensation often leading to better H-1B lottery selection odds.
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Search H-1B Sponsors on Wisa →Quantiphi's specific H-1B filing volume isn't itemized here, but the Wisa database contains 323,617 H-1B filing records, with major companies like Amazon filing over 55,000.
The overall FY2027 lottery selection odds were 35.3%. For higher wage levels like Level 3 (~46%) and Level 4 (~62%), odds significantly improve, benefiting specialized roles.
Quantiphi, like many tech companies, likely sponsors OPT students. These applications are exempt from the $100K fee when applying for a Change of Status.
For Machine Learning Engineers in Austin, TX, typical salaries range from $135,000 to $160,000 annually, with higher compensation often leading to better H-1B lottery selection odds.