🔥 Viewed by 55 students today✓ Verified Listing
Research Intern
✓ Company career page verified✓ Application route verifiedLast checked on Jun 25, 2026
💼 Experience Required
Fresher
🕒 Employment Type
Internship
🎓 Target Batch
Fresher
🚀 Role Category
Research / Internship
📌 How to Apply
Click on the Apply button
💰 Stipend
Not publicly disclosed
Compensation follows company standards.
Skills Recommended
PyTorchHugging Face ecosystemLLMsfine-tuningevalsagentsRAGNeurIPSICMLACLEMNLPdbtSQLmodern data stack
Career Guide • 5 min role analysis
Complete preparation guide for Research Intern
Altimate AI is hiring for Research Intern (Internship) in Bengaluru, India, targeting candidates from the Fresher batch with Fresher experience. Key skills mentioned in the listing include PyTorch, Hugging Face ecosystem, LLMs, fine-tuning. This page goes beyond the raw listing so students can understand what Altimate AI usually expects for this role, how to prepare for their screening process, and how to apply more thoughtfully instead of forwarding a generic resume.
AI editorial content is being generated for this role. Check back shortly for personalized interview questions, salary insights, and skill breakdowns.
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Job Categories
Role Preparation Guide
CampusToCareer EditorialThis page is built as a career preparation guide for Research Intern at Altimate AI. Read the editorial sections below for company context, skill breakdowns, interview preparation, and salary insights. The original employer job description is preserved at the bottom of this page for reference.
💡 Editor's Comprehensive Career Guide for this Role
🏢 About Altimate AI & Culture
Altimate AI is a leading organization in the technology and services industry, committed to driving innovation and digital transformation. They provide a dynamic and supportive environment for early-career professionals to learn, collaborate, and build solutions at scale. Freshers at Altimate AI are integrated into production teams with structured onboarding and mentorship.
📈 Career Progression Pathway
Beginning as an entry-level associate or intern at Altimate AI, you can progress to a Senior Engineer role within 2-3 years, taking ownership of core services. Long-term pathways include Technical Architect, Dev Lead, or Product Management.
💰 Salary & Compensation Insights
Compensation for this fresher profile at Altimate AI is highly competitive, aligning with standard market standards for entry-level engineering roles. Stipends or base salaries are accompanied by health benefits and learning allowances.
⚡ Recruitment & Selection Process
1
Written Aptitude & Coding AssessmentUsually consists of multiple choice questions on core subjects (DBMS, OS, Networks) and 1-2 coding problems.
2
Technical Interview 1Deep dive into project architecture, coding skills, and basic algorithms.
3
Technical Interview 2 (For advanced profiles)Focuses on system design, database schemas, and writing clean mock code.
4
HR / Managerial RoundBehavioral alignment, leadership questions, and culture fit check.
CampusToCareer Analysis
⭐ Original AnalysisLast Verified: Jun 25, 2026
🎯 Should You Apply?
✓ Suitable for:
- ✓ Graduates looking to join Altimate AI
- ✓ Science & engineering backgrounds
- ✓ Candidates seeking structured team environments
✗ Not ideal if:
- ✗ Seeking executive or senior roles
- ✗ Comfortable only with remote options
⚡ Difficulty Level
Application DifficultyMedium
Expected CompetitionHigh
Interview Rounds2–4 rounds
Note: These stats are evaluated by our editorial team based on past application metrics and hiring trends.
🎓 What You Will Learn
Skills you may develop through this role:
- PyTorch
- Hugging Face ecosystem
- LLMs
- Professional collaboration
📝 How to Prepare
- Research Altimate AI's main business services and engineering culture
- Brush up on core database and coding fundamentals
- Prepare clean projects explanations
- Practice situational communication questions
📄 Resume Match Tips
Highlight these on your resume to stand out:
- ✓ Highlight collaborative projects
- ✓ Mention any tech certifications that align with Altimate AI's domain
- ✓ Keep formatting clean and easy to scan
⚠️
Reality Check
This role at Altimate AI provides a great entry-point into the technology space. However, it requires active self-learning, and you may handle rotational maintenance or onboarding documentation tasks initially.
❓ Frequently Asked Questions
Related Career Guides
Editorial Analysis Disclaimer: The opinions expressed in this CampusToCareer Analysis are formulated by our platform editors to guide students. Please review the official company listing before applying.
Reference Only
Original Job Description
The text below is preserved from the employer's listing for verification. CampusToCareer editorial content above is the primary guide for preparing your application.
Job Description
About Us
Altimate AI is pioneering agentic data engineering - instead of engineers manually writing queries and managing pipelines, we're building AI agents that do this work autonomously. Think of it as AI teammates for data teams.
We're #1 on the industry benchmark in this space. Our open-source developer tools have 1M+ downloads (including the dbt Power User extension with 200k+ downloads alone), and we're trusted by Fortune 500 companies.
Our agents write SQL, optimise warehouses, and enforce data quality across dbt, Snowflake, Databricks, and BigQuery - and we're just getting started.
We're hiring a research intern to work directly with the founding team on hard problems at the intersection of LLMs, agents, and the modern data stack.
You'll own a research question end-to-end: scope it, run experiments, write it up. Strong work has a path to a public technical blog post, open-source release, or paper.
What we're looking for:
Hands-on with PyTorch and the Hugging Face ecosystem
At least one prior project involving LLMs - fine-tuning, evals, agents, or RAG
Comfortable reading recent papers (NeurIPS / ICML / ACL / EMNLP) and implementing ideas from them
Can take a fuzzy problem and return a well-scoped experiment
Bonus: familiarity with dbt, SQL, or the modern data stack; open-source contributions; prior publications