CompNova

CompNova

ML Engineer /SME (Telecom Domain)

Seattle, Washington, USA · Senior · third party, contract

Sponsorship not specifiedDetected 157 days ago
Machine LearningData EngineeringAgentic AIForecasting5G/LTE

Stay score

odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

56% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 2 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: AT&T INC · CSX INC.

Files H-1B transfers

7 transfer filings in the last year, covering 7 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • Job Title: ML Engineer/SME Location: Seattle, WA Experience: 10+ Job Summary We are looking for a highly skilled Senior ML Engineer with strong experience in the telecom domain, especially around 3GPP KPIs, Root Cause Analysis (RCA), Predictive Failure Modeling, and modern Agentic AI systems. The ideal candidate will design and deploy scalable AI/ML
  • solutions for telecom network intelligence, automation, anomaly detection, and proactive issue resolution across large-scale network environments. Key Responsibilities · Design, build, and optimize ML models for telecom network analytics and operational intelligence. · Work extensively with 3GPP network KPIs across RAN/Core/Transport domains.

Requirements

  • Required Skills & Qualifications &middot
  • Bachelor’s or Master’s degree in Computer Science, AI/ML, Telecommunications, or related field. &middot
  • Strong telecom domain expertise with understanding of:
  • Experience with ML frameworks

This listing is sourced directly from CompNova's careers page and normalized into a canonical job model.