What is the salary for ML Engineer — Atlas AI at MongoDB?

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

Where is the ML Engineer — Atlas AI role based?

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

How do I apply to MongoDB?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0012. Process: Recruiter screen → Technical interview → Team conversation → Offer.

Is MongoDB hiring other AI roles?

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

ML Engineer — Atlas AI

MongoDB· Remote · US· Ref. EXP-2026-0012 4.3 (1,600 reviews)

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Salary: $140k – $190k / year
Type: Full-time
Location: Remote · United States
Valid through: 11/3/2026

Additional details

Posted: Posted 1 day ago
Applications: 22; on Ganloss
Experience: Mid · 3+ years
Education: BS/MS CS, ML, or equivalent experience
Region: United States
Team: MongoDB — AI team
Company size: 4000+
Founded: 2007

Job description

MongoDB is hiring a ML Engineer — Atlas AI (Full-time) remote (US). This machine learning engineer role is part of the AI hiring market in Remote (US) (United States). Managed GenAI features on Atlas — fully remote US ML platform team. Listed compensation: $140k – $190k / year. Stack: ML, Remote, Kubernetes, GenAI.

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

MongoDB — 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

MLRemoteKubernetesGenAI

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 — ML Engineer — Atlas AI

What is the salary for ML Engineer — Atlas AI at MongoDB?: Listed range: $140k – $190k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
Where is the ML Engineer — Atlas AI role based?: US remote role. The team may be headquartered in Remote · US.
How do I apply to MongoDB?: Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0012. Process: Recruiter screen → Technical interview → Team conversation → Offer.
Is MongoDB hiring other AI roles?: MongoDB (Database & AI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

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