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AI Research Intern (Applied AI)
Tag:Internship
Posted: 05/09/2025
🏢 Raven — AI Research Intern 📍 Location: Bengaluru 💰 Stipend: Competitive 🧑‍💻 Type: Internship (3–6 months) 🧪 Experience: 0 years 🛠️ Focus: Vision • OCR • LLMs • Fine-tuning • Benchmarks
How to Apply FAQs Apply / Official

📢 Raven — AI Research Intern • Competitive (Paid) • Apply Now

Post Date: September 5, 2025 • By: Amit

Quick take:

Raven (YC S22) is hiring an AI Research Intern in Bengaluru to work on applied AI across vision/OCR/LLMs, fine-tuning, and benchmarking. Duration: 3–6 months (full-time during internship) • Stipend: Competitive • Experience: 0 years.

Note: Eligibility, stipend, and process are subject to the official posting. Always verify on the LinkedIn apply page.

At a Glance

Company: Raven (YC S22)
Role: AI Research Intern — Applied AI
Location: Bengaluru (On-site preferred; Remote OK)
Stipend: Competitive
Duration: 3–6 months
Experience: 0 years
Type: Internship

Next Steps: Open LinkedIn post → Sign in → Fill details (skills + projects) → Upload resume/portfolio → Submit.

Key Details

ItemInfo
PositionAI Research Intern (Applied AI)
CompanyRaven (YC S22)
LocationBengaluru (On-site preferred; Remote OK)
Experience0 years
StipendCompetitive (Paid internship)
Duration3–6 months (full-time during internship)
Focus AreasVision, OCR, LLMs; fine-tuning; benchmarking (accuracy, latency, footprint); perception + reasoning prototypes
ResponsibilitiesRun experiments; fine-tune on custom datasets; build benchmarks; document results; collaborate to integrate into product
ApplicationApply via LinkedIn job post (link below)
Date PostedSeptember 5, 2025

Always verify details on the official apply page.

Job Description — Overview & Responsibilities

About Raven: Raven is a YC-backed startup building AI assistants for manufacturing plants—combining industrial know-how with modern AI to help teams make faster, safer decisions from unified operational data.

Role Summary: Hands-on applied AI internship focused on model evaluation and fine-tuning across vision/OCR/LLMs, with a path to production-ready components.

What You’ll Work On

  • Run experiments with open-source and commercial models (vision, OCR, LLMs)
  • Fine-tune on custom datasets; design and run benchmarks (accuracy, latency, footprint)
  • Prototype workflows combining perception (text, layout, symbols) with reasoning (graphs, classifications)
  • Document methods/results; collaborate with engineers to integrate into product

Minimum Qualifications

  • Strong Python; experience with PyTorch or TensorFlow
  • Prior exposure to training/fine-tuning ML models (projects or internships)
  • Clear, structured communication; comfort with messy, real-world data

Duration & Schedule

  • 3–6 months; full-time commitment during the internship

Why Join Raven

  • Work on high-impact, real industrial problems
  • Access unique datasets and ship outcomes quickly
  • Learn directly from a small founding team; see research move to deployment

Equal Opportunity: Raven is an equal opportunity employer and does not charge fees at any stage of recruitment.

Key Skills

Skill AreaDetails
LanguagesPython
FrameworksPyTorch or TensorFlow
DomainsComputer Vision, OCR, Large Language Models (LLMs)
ML TasksFine-tuning, Evaluation, Benchmarking (accuracy, latency, footprint)
PrototypingPerception (text/layout/symbols) + Reasoning (graphs/classification)
PracticesDocumentation, Collaboration, Product Integration

Eligibility / Background

  • 0 years of professional experience; strong ML project experience is a plus
  • Comfort with experimentation and real-world datasets
  • Clear communication and organization

Application Fee

CategoryFee
All CandidatesNo fee (apply directly via LinkedIn)

Role Type (Work Arrangement)

  • On-site preferred; Remote OK: Bengaluru

Your exact arrangement will be confirmed by the hiring team.

Openings

Not disclosed.

Vacancy Details — Raven AI Research Intern

Post NameLocationStipendExperience
AI Research Intern (Applied AI) Bengaluru Competitive (Paid) 0 years

*City and stipend details should be confirmed on the official page.

Steps to Apply for Raven — AI Research Intern

  • Open the LinkedIn job post.
  • Sign in with your LinkedIn account.
  • Fill accurate personal, education & skills information (Python, PyTorch/TensorFlow, ML projects).
  • Upload your resume/CV and relevant project/repo links.
  • Review and submit your application; save the confirmation.

Selection Process (Indicative)

  • Application Screening
  • Technical Evaluation/Task (experiments/fine-tuning/benchmarks)
  • Interviews (ML depth + product orientation)
  • Offer & Onboarding

The exact process may vary by team needs.

FAQs — Raven AI Research Intern

What is the role and company?
AI Research Intern at Raven (YC S22).
Where is the internship based?
Bengaluru, India — on-site preferred; remote OK.
What is the stipend and duration?
Competitive (Paid), for 3–6 months full-time.
Who can apply?
Candidates with 0 years experience who have strong Python and exposure to training/fine-tuning ML models.
What will I work on?
Applied AI—experiments, fine-tuning, and benchmarks across vision/OCR/LLMs; building perception + reasoning prototypes.
How do I apply?
Use the LinkedIn Apply button and submit on the portal.

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This page summarizes Raven — AI Research Intern based on the provided details. In case of any difference, the official apply page will prevail.