What is the salary for ML Engineer — Cortex AI at Snowflake?

Listed range: $150k – $205k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the ML Engineer — Cortex AI role based?

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

How do I apply to Snowflake?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0021. Process: Recruiter screen (30 min) → Technical interview (60 min) → Team fit → Offer.

Is Snowflake hiring other AI roles?

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

ML Engineer — Cortex AI

Snowflake· Remote · US· Ref. EXP-2026-0021 4.4 (1,900 reviews)

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Salary: $150k – $205k / year
Type: Full-time
Location: Remote · United States
Valid through: 10/31/2026

Additional details

Posted: Posted 4 days ago
Applications: 33; on Ganloss
Experience: Mid · 3+ years
Education: BS/MS CS, ML, or equivalent experience
Region: United States
Team: Snowflake — AI team
Company size: 5000+
Founded: 2012

Job description

Snowflake is hiring a ML Engineer — Cortex AI (Full-time) remote (US). This machine learning engineer role is part of the AI hiring market in Remote (US) (United States). Build managed LLM and embedding features inside the Snowflake data cloud. Listed compensation: $150k – $205k / year. Stack: SQL, Python, LLM, Snowpark.

Machine Learning 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

Snowflake — 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

SQLPythonLLMSnowpark

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 — ML Engineer — Cortex AI

What is the salary for ML Engineer — Cortex AI at Snowflake?: Listed range: $150k – $205k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
Where is the ML Engineer — Cortex AI role based?: US remote role. The team may be headquartered in Remote · US.
How do I apply to Snowflake?: Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0021. Process: Recruiter screen (30 min) → Technical interview (60 min) → Team fit → Offer.
Is Snowflake hiring other AI roles?: Snowflake (Cloud data & AI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

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