What is the salary for MLOps Engineer at Salesforce?

Listed range: $145k – $190k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the MLOps Engineer role based?

Seattle, WA, Seattle (Washington). Work mode: Hybrid.

How do I apply to Salesforce?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0008. Process: Recruiter screen → Technical interview → Team conversation → Offer.

Is Salesforce hiring other AI roles?

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

MLOps Engineer

Salesforce· Seattle, WA· Ref. EXP-2026-0008 4.2 (9,800 reviews)

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Salary: $145k – $190k / year
Type: Full-time
Location: Seattle, WA · Seattle (Washington) · Hybrid
Valid through: 11/3/2026

Additional details

Posted: Posted 1 day ago
Applications: 18; on Ganloss
Experience: Mid · 3+ years
Education: BS/MS CS, ML, or equivalent experience
Region: Washington
Team: Salesforce — AI team
Company size: 70000+
Founded: 1999

Job description

Salesforce is hiring a MLOps Engineer (Full-time) hybrid. This mlops engineer role is part of the AI hiring market in Seattle (Washington). Model deployment and monitoring for Einstein platform services — Seattle hub. Listed compensation: $145k – $190k / year. Stack: MLOps, Kubernetes, Python, Seattle.

MLOps Engineer profiles are in high demand in Seattle: Seattle is a major cloud and AI hub. Amazon, Microsoft, and a deep startup ecosystem recruit ML engineers, applied scientists, and platform engineers.…

The team

Salesforce — AI team

Responsibilities

Deliver production ML/LLM capabilities with measurable quality bars
Partner with product and infra on roadmap and reliability
Document evals, monitoring, and rollout practices

Requirements

3+ years shipping ML, LLM, or data systems in production
Strong Python or TypeScript and clear written communication
Comfort with responsible AI and operational excellence

Tech stack

MLOpsKubernetesPythonSeattle

Benefits

Health, dental, vision

401(k) match

Equity

Learning budget

Flexible PTO

Hiring process

1Recruiter screen
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 Salesforce?: Listed range: $145k – $190k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
Where is the MLOps Engineer role based?: Seattle, WA, Seattle (Washington). Work mode: Hybrid.
How do I apply to Salesforce?: Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0008. Process: Recruiter screen → Technical interview → Team conversation → Offer.
Is Salesforce hiring other AI roles?: Salesforce (Enterprise AI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

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