Machine Learning Senior Software Engineer at Akamai Technologies, Inc.
Atlanta, GA
$121,400–$218,600from the description
Aug 5, 2026
Atlanta, GA
Sep 24, 2026
What this job asks for AI summary
This Senior Software Engineer role on Akamai's Inference Cloud team focuses on building and operating the systems that govern the full AI model lifecycle — from security scanning and validation through quantization, optimization, and safety guardrails. The work spans production ML pipelines, LLM inference optimization, and responsible AI enforcement. It suits an engineer with hands-on ML experience who wants to work at the intersection of systems engineering and applied AI at cloud scale.
Senior level · 5+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 4 times — it's one opening, so apply once.
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
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 7, 2026. It is a model, not a headcount.
Why we read it this way (7)
The posting is fully remote-eligible under Akamai's FlexBase program, which covers the country advertised; no specific city or metro is stated, so no CBSA is assigned.
The degree requirement states 'Bachelor's/Master's degree… or a related field' alongside 5 years of experience, but does not explicitly exclude candidates without a degree or state 'required' — treated as preferred rather than a hard gate.
Containerized deployments, CI/CD, and cloud infrastructure are explicitly flagged as 'not required, but suggested' in the posting, so they are listed as preferred.
The role sits at the boundary between software engineering (building production pipelines and systems) and data science/ML (quantization, model evaluation, LLM optimization); 15-1252 was chosen because the primary deliverables are production systems and pipelines, with 15-2051 as a close runner-up.
GPTQ is listed as the primary quantization technique with AWQ and GGUF as named alternatives in the same requirement; they are grouped as one skill per the interchangeable-options rule.
The salary range ($121,400–$218,600/year) is stated as applying to US-based candidates only; compensation outside the US will vary.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): content safety / responsible AI.
Read the full posting
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