What is the salary for MLOps Engineer at Scale AI?

Listed range: $130k – $175k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the MLOps Engineer role based?

Atlanta, GA, Atlanta (Georgia). Work mode: Hybrid.

How do I apply to Scale AI?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0020. Process: Recruiter screen (30 min) → Technical interview → Team conversation → Offer.

Is Scale AI hiring other AI roles?

Scale AI (AI data & eval) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

MLOps Engineer

Scale AI· Atlanta, GA· Ref. EXP-2026-0020 4.3 (680 reviews)

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Salary: $130k – $175k / year
Type: Full-time
Location: Atlanta, GA · Atlanta (Georgia) · Hybrid
Valid through: 11/2/2026

Additional details

Posted: Posted 2 days ago
Applications: 28; on Ganloss
Experience: Mid · 3+ years
Education: BS/MS CS, ML, or equivalent experience
Region: Georgia
Team: Scale AI — AI team
Company size: 500-1000
Founded: 2016

Job description

Scale AI is hiring a MLOps Engineer (Full-time) hybrid. This mlops engineer role is part of the AI hiring market in Atlanta (Georgia). MLOps platform engineer — deploy and monitor eval pipelines for enterprise GenAI customers in the Southeast. Listed compensation: $130k – $175k / year. Stack: MLOps, Atlanta, Kubernetes, Python.

MLOps Engineer profiles are in high demand in Atlanta: Atlanta combines enterprise AI, logistics analytics, and fintech with a growing ML talent pool.…

The team

Scale AI — AI team

Responsibilities

Deliver production ML/LLM features with clear evals and monitoring
Collaborate with product, design, and infra on roadmap priorities
Document architecture decisions and mentor junior engineers where relevant

Requirements

3+ years shipping ML, LLM, or data systems in production
Strong Python or TypeScript and communication skills
Comfort with evals, observability, and responsible AI practices

Tech stack

MLOpsAtlantaKubernetesPython

Benefits

Health, dental, vision

401(k) match

Equity

Learning budget

Flexible PTO

Hiring process

1Recruiter screen (30 min)
2Technical interview
3Team conversation
4Offer

Experience: Mid · 3+ years · Education: BS/MS CS, ML, or equivalent experience

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FAQ — MLOps Engineer

What is the salary for MLOps Engineer at Scale AI?: Listed range: $130k – $175k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
Where is the MLOps Engineer role based?: Atlanta, GA, Atlanta (Georgia). Work mode: Hybrid.
How do I apply to Scale AI?: Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0020. Process: Recruiter screen (30 min) → Technical interview → Team conversation → Offer.
Is Scale AI hiring other AI roles?: Scale AI (AI data & eval) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

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