What is the salary for LLM Engineer — Knowledge Work at Dropbox?

Listed range: $145k – $195k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the LLM Engineer — Knowledge Work role based?

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

How do I apply to Dropbox?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0016. Process: Recruiter screen → Technical interview → Team conversation → Offer.

Is Dropbox hiring other AI roles?

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

LLM Engineer — Knowledge Work

Dropbox· Seattle, WA· Ref. EXP-2026-0016 4.2 (2,100 reviews)

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Salary: $145k – $195k / year
Type: Full-time
Location: Seattle, WA · Seattle (Washington) · Hybrid
Valid through: 11/25/2026

Additional details

Posted: Posted today
Applications: 24; on Ganloss
Experience: Mid · 3+ years
Education: BS/MS CS, ML, or equivalent experience
Region: Washington
Team: Dropbox — AI team
Company size: 2500+
Founded: 2007

Job description

Dropbox is hiring a LLM Engineer — Knowledge Work (Full-time) hybrid. This llm engineer role is part of the AI hiring market in Seattle (Washington). Dropbox LLM engineer for AI writing and file copilots — Seattle hybrid with TypeScript + Python stack. Listed compensation: $145k – $195k / year. Stack: LLM, Dropbox, TypeScript, Python, Seattle.

LLM 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

Dropbox — AI team

Responsibilities

Ship production AI features with clear quality, latency, and safety bars
Partner with product, design, and infra on roadmap priorities
Document evals, monitoring, and responsible AI practices

Requirements

3+ years shipping ML, LLM, or data systems in production (or strong internship + portfolio)
Strong Python or TypeScript and clear written communication
Comfort with evals, observability, and cross-functional US teams

Tech stack

LLMDropboxTypeScriptPythonSeattle

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 — LLM Engineer — Knowledge Work

What is the salary for LLM Engineer — Knowledge Work at Dropbox?: Listed range: $145k – $195k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
Where is the LLM Engineer — Knowledge Work role based?: Seattle, WA, Seattle (Washington). Work mode: Hybrid.
How do I apply to Dropbox?: Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0016. Process: Recruiter screen → Technical interview → Team conversation → Offer.
Is Dropbox hiring other AI roles?: Dropbox (Productivity AI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

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