What is the salary for MLOps Engineer at Cohere?

Listed range: $140k – $190k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the MLOps Engineer role based?

US remote role. The team may be headquartered in Remote · US.

How do I apply to Cohere?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0028. Process: Recruiter screen (30 min) → Technical interview (60 min) → Team fit → Offer.

Is Cohere hiring other AI roles?

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

MLOps Engineer

Cohere· Remote · US· Ref. EXP-2026-0028 4.4 (210 reviews)

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Salary: $140k – $190k / year
Type: Full-time
Location: Remote · United States
Valid through: 10/31/2026

Additional details

Posted: Posted 4 days ago
Applications: 40; on Ganloss
Experience: Mid · 3+ years
Education: BS/MS CS, ML, or equivalent experience
Region: United States
Team: Cohere — AI team
Company size: 200-500
Founded: 2019

Job description

Cohere is hiring a MLOps Engineer (Full-time) remote (US). This mlops engineer role is part of the AI hiring market in Remote (US) (United States). Operate private cloud and VPC deployments for regulated customers. Listed compensation: $140k – $190k / year. Stack: Kubernetes, Python, Monitoring, LLM.

MLOps Engineer profiles are in high demand in Remote (US): Fully remote US roles: LLM Engineer, MLOps, Data Scientist, and AI Product Manager. Apply from any state.…

The team

Cohere — AI team

Responsibilities

Ship production AI features with measurable quality and latency targets
Partner with product and design on roadmap and customer feedback
Improve observability, evals, and safe rollout practices

Requirements

Strong Python or TypeScript fundamentals and 3+ years relevant experience
Hands-on LLM, ML, or data platform work in production
Clear written communication and async collaboration

Tech stack

KubernetesPythonMonitoringLLM

Benefits

Health, dental, vision

401(k) match

Equity

Learning budget

Flexible PTO

Hiring process

1Recruiter screen (30 min)
2Technical interview (60 min)
3Team fit
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 Cohere?: Listed range: $140k – $190k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
Where is the MLOps Engineer role based?: US remote role. The team may be headquartered in Remote · US.
How do I apply to Cohere?: Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0028. Process: Recruiter screen (30 min) → Technical interview (60 min) → Team fit → Offer.
Is Cohere hiring other AI roles?: Cohere (Enterprise LLM) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

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