H1B Sponsorship Jobs
← Research libraryCAREER RESEARCH / English research edition · 2026-10-11
Samaya AI logo

H1B SPONSORSHIP JOBS · TECHNOLOGY

Samaya AI

A research-intensive ML internship with conditional immigration language.

The retained Samaya AI evidence centers on one Mountain View ML Research Intern JD. It is unusually informative about willingness to make reasonable efforts to support a visa, but it is also selective: relevant MS/PhD enrollment, strong research foundations and a first-author top AI/NLP publication are required in the saved screening. The guide’s three paths develop research, evaluation and implementation competencies around that evidence. They do not represent three verified teams or jobs, and this company has limited screening coverage rather than a full organizational dossier. Limited screening coverage. The guide below offers clearly labeled independent training directions; it does not claim the same role-level verification depth as the full company dossiers.

English research edition · 2026-10-11English edition / Oct 11, 2026Evidence dated 2026-10-07

U.S. INTERNSHIPS & GRADUATE JOBS

What can you explore at Samaya AI?

Start with your opportunity type and graduation month. Then check each role’s deadline and sponsorship conditions.

Clear filters

Your graduation month is an eligibility check, not the internship year. A missing or partial graduation window stays visible for you to confirm.

2 reviewed program records match your selection.

United States

Internships (1)

Open at the recorded check

ML Research Intern

Mountain View, California, United States

Recorded deadline
No fixed application closing date appears in the reviewed current official JD or public role-specific form. Placement, graduation and start dates are not application deadlines.
Graduation requirements
Not published / not confirmed
Who should check
Master’s / PhD
Sponsorship for this role
Conditional support — confirm this roleEvidence scope: Specific posting
Source checked
Check requirements and save this role →

Other early-career roles (1)

Open at the recorded check

Applied Scientist (ML)

Mountain View, California, United States

Recorded deadline
No fixed application closing date appears in the reviewed current official JD or public role-specific form. Placement, graduation and start dates are not application deadlines.
Graduation requirements
Not published / not confirmed
Who should check
Master’s / PhD
Sponsorship for this role
Conditional support — confirm this roleEvidence scope: Specific posting
Source checked
Check requirements and save this role →

“Open at the recorded check” describes the source-check date, not a promise of current acceptance. A missing deadline stays unknown. Historical employer filings do not establish support for a particular vacancy. Internship work authorization and sponsorship for a future full-time role must be checked separately.

01 / PUBLIC EVIDENCE

Check the requirements before you invest your time.

Always free

The checked ML Research Intern JD says the employer will make reasonable efforts to provide visa support. The feasible visa category, individual candidate conditions and future full-time H-1B support still require confirmation; this is conditional, not guaranteed.

Read all recorded requirements and historical references
Samaya AI logo

REQ / 4652765007

ML Research Intern

View source ↗
Sponsorship status
Conditional support. CPT/OPT details not specified; company and school must confirm candidate-specific authorization.
Work arrangement
Not stated — confirm with the employer
Degree & graduation window
Enrolled relevant CS/ML/NLP MS or PhD; strong research foundation and first-author top AI/NLP conference paper in retained JD.
Experience & priority
No multiple-full-time-year minimum stated; the research/publication gate remains high.
Availability & deadline
October 7 official careers list and specific JD showed Apply/form; no fresh live submission verification in this English edition. · No fixed graduation year or exact deadline established.
Location
LocationMountain View, CA
Read the full eligibility notes

Read each record independently. A specific vacancy, a broad requisition, a resume pool and a program introduction are different evidence levels. Required qualifications remain separate from preferred experience. A visible Apply button does not establish an available place or successful form submission.

ML Research Intern | 4652765007

Required qualifications: Enrolled relevant CS/ML/NLP MS or PhD; strong research foundation and first-author top AI/NLP conference paper in retained JD.

Experience and preferred preparation: No multiple-full-time-year minimum stated; the research/publication gate remains high.

Work authorization: CPT/OPT details not specified; company and school must confirm candidate-specific authorization. Future employer support: conditional.

Dated availability evidence: October 7 official careers list and specific JD showed Apply/form; no fresh live submission verification in this English edition. Timing / deadline: No fixed graduation year or exact deadline established. Retained source: https://job-boards.greenhouse.io/samayaai/jobs/4652765007

Role evidence is retained from dated research snapshots. Publishing an English edition does not refresh every posting. An accessible page or application link does not prove that applications are still being accepted.

03 / FUNCTION MAP

Three ways to build relevant experience.

A function map is not a list of live openings. Suggested projects use public or synthetic data and are independent practice, not employment at the company or access to its internal systems.

04 / FULL RESEARCH

Turn your research into a preparation plan.

Free with registration

Checking your research access…

05 / TRACEABLE SOURCES

Check the evidence and its limits.

Always free

Samaya AI · English research edition · 2026-10-11. Unknown support, inaccessible postings and closed programs remain explicitly identified. Source depth varies by company. Original research files and maintenance records are preserved separately.

Read our methodology →