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

Listed range: $155k – $210k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the Staff ML Engineer — Customer AI role based?

Chicago, IL, Chicago (Illinois). Work mode: Hybrid.

How do I apply to Snowflake?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0004. Process: Recruiter screen (30 min) → Technical interview → Team conversation → 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.

Staff ML Engineer — Customer AI

Snowflake· Chicago, IL· Ref. EXP-2026-0004 4.4 (1,900 reviews)

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Salary: $155k – $210k / year
Type: Full-time
Location: Chicago, IL · Chicago (Illinois) · Hybrid
Valid through: 11/15/2026

Additional details

Posted: Posted 2 days ago
Applications: 10; on Ganloss
Experience: Mid · 3+ years
Education: BS/MS CS, ML, or equivalent experience
Region: Illinois
Team: Snowflake — AI team
Company size: 5000+
Founded: 2012

Job description

Snowflake is hiring a Staff ML Engineer — Customer AI (Full-time) hybrid. This machine learning engineer role is part of the AI hiring market in Chicago (Illinois). Enterprise teams hire machine learning engineer talent through forward-deployed staff — model deployment on Snowflake ML, Cortex, and secure data pipelines in Chicago and remote US. Listed compensation: $155k – $210k / year. Stack: Hire ML engineer, MLOps, Snowflake ML, Python.

Machine Learning Engineer profiles are in high demand in Chicago: Chicago offers AI roles in trading, insurance, retail analytics, and consulting with hybrid-friendly teams.…

The team

Snowflake — AI team

Responsibilities

Ship production AI with measurable quality, latency, and safety targets
Partner with product and infra on roadmap and customer feedback
Document evals, monitoring, and rollout practices for the team

Requirements

3+ years relevant experience (or strong internship + shipped projects)
Python or TypeScript and hands-on LLM/ML/data work
Comfort with evals, observability, and responsible AI practices

Tech stack

Hire ML engineerMLOpsSnowflake MLPython

Benefits

Health, dental, vision

401(k) match

Equity or bonus

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 — Staff ML Engineer — Customer AI

What is the salary for Staff ML Engineer — Customer AI at Snowflake?: Listed range: $155k – $210k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
Where is the Staff ML Engineer — Customer AI role based?: Chicago, IL, Chicago (Illinois). Work mode: Hybrid.
How do I apply to Snowflake?: Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0004. Process: Recruiter screen (30 min) → Technical interview → Team conversation → 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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