Staff Machine Learning Engineer -Gen AI, Machine Learning, Graph ML, Big Data - 10030
Extreme Networks · India
—
Jul 13, 2026
India
Jul 21, 2026
What this job asks for AI summary
A senior individual-contributor role focused on building generative AI and machine learning systems for network management, including AI agents, retrieval-augmented generation, knowledge bases, anomaly detection, and LLM fine-tuning. The work involves designing distributed, cloud-based architectures, developing Python-based services and RESTful APIs, and handling large-scale data pipelines. Suits an experienced ML engineer comfortable with both hands-on development and technical leadership.
Senior level · 8+ years · Remote · Full-time
Advertised as Staff, but the requirements read as Senior.
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 2,700 people nationally plausibly meet what this posting asks for (data scientists). range 1,600–4,050
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The primary work location is Bangalore, India (with a remote option), so US salary benchmarks do not apply. The US-based flag is set to false.
The role is titled 'Staff Machine Learning Engineer' but the actual requirements — 8+ years of experience, distributed systems design, tech lead/mentor experience — are consistent with a Senior-level scope rather than a true Staff (cross-team technical authority) role. 'Staff' in the title appears to be a level label rather than a reflection of org-wide scope.
The degree requirement states 'BE/MS or PhD in Computer Science or equivalent experience in ML,' which accepts equivalent experience in lieu of a formal degree, so no hard degree gate is set.
ML technologies (PyTorch, SageMaker, Triton, TensorRT) and NoSQL databases are listed in a secondary experience block without firm gating language ('Experience with…'), so they are marked as preferred.
The cloud platform requirement (4+ years, AWS/Azure/GCP) is stated as 'preferably on cloud platforms,' but the 4+ years and the distributed systems design context make it a hard gate on cloud experience; the specific provider is interchangeable.
The role spans both ML/AI engineering and substantial software/platform engineering (distributed systems, APIs, CI/CD), making the SOC classification genuinely ambiguous between 15-2051 (Data Scientists) and 15-1252 (Software Developers). 15-2051 is chosen as primary given the Gen AI, Graph ML, and LLM fine-tuning focus of the team.
This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.
This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.