
ML Intern — Atlas Vector Search
- Salary
- $76k – $90k / year
- Type
- Internship
- Location
- Remote · United States
- Valid through
- 11/4/2026
Additional details
- Posted
- Posted 2 days ago
- Applications
- 34
- on Ganloss
- Experience
- Intern · student or new grad
- Education
- BS/MS in progress or completed (CS, ML, data, or equivalent projects)
- Region
- United States
- Team
- MongoDB — early talent program
- Company size
- 4000+
- Founded
- 2007
Job description
MongoDB is hiring a ML Intern — Atlas Vector Search (Internship) remote (US). This llm engineer role is part of the AI hiring market in Remote (US) (United States). Remote US internship improving Atlas Vector Search benchmarks and GenAI starter templates. Listed compensation: $76k – $90k / year. Stack: Internship, Remote, Vector search, GenAI.
LLM 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 — early talent program
Responsibilities
- Ship scoped features with mentor review and production-quality tests
- Document experiments, metrics, and learnings for the broader team
- Partner with product and design on user-facing AI capabilities
Requirements
- Enrolled in or recently completed a CS, ML, data, or related program
- Portfolio or coursework in Python, SQL, or modern web stacks
- Clear communication and curiosity about responsible AI in production
Tech stack
Benefits
Hiring process
- 1Recruiter screen (20 min)
- 2Technical conversation or take-home (time-boxed)
- 3Team fit with manager and mentor
- 4Offer
Experience: Intern · student or new grad · Education: BS/MS in progress or completed (CS, ML, data, or equivalent projects)
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FAQ — ML Intern — Atlas Vector Search
- What is the salary for ML Intern — Atlas Vector Search at MongoDB?
- Listed range: $76k – $90k / year (Internship). Packages often include PTO, remote options, and equity depending on the company.
- Where is the ML Intern — Atlas Vector Search 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-2026-0026. Process: Recruiter screen (20 min) → Technical conversation or take-home (time-boxed) → Team fit with manager and mentor → 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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