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Massachusetts Institute of Technology
3.5
based on 69 Reviews
Company Overview
Company Locations
Working at Massachusetts Institute of Technology
Company Summary
Overall Rating
3.5/5
based on 69 reviews
12% above
industry average
Critically rated for
Promotions/Appraisal, Salary & Benefits, Job Security
Work Policy
Monday to Saturday
64% employees reported
Strict timing
51% employees reported
No travel
49% employees reported
Day shift
100% employees reported
View detailed work policy
Top Employees Benefits
Office cab/shuttle
1 employee reported
Free meal
1 employee reported
Office gym
1 employee reported
Cafeteria
1 employee reported
View detailed benefits
About Massachusetts Institute of Technology
Founded in--
India Employee Count--
Global Employee Count--
Headquarters--
Office Locations
--
Websitemit.edu
Primary Industry
Other Industries
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Massachusetts Institute of Technology Ratings
based on 69 reviews
Overall Rating
3.5/5
How AmbitionBox ratings work?
5
27
4
15
3
10
2
6
1
11
Category Ratings
3.4
Work-Life Balance
3.1
Work Satisfaction
3.1
Company Culture
3.1
Skill Development
3.0
Job Security
3.0
Salary & Benefits
2.7
Promotions/Appraisal
Massachusetts Institute of Technology is rated 3.5 out of 5 stars on AmbitionBox, based on 69 company reviews.This rating reflects an average employee experience, indicating moderate satisfaction with the company’s work culture, benefits, and career growth opportunities. AmbitionBox gathers authentic employee reviews and ratings, making it a trusted platform for job seekers and employees in India.
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Massachusetts Institute of Technology Reviews
Top mentions in Massachusetts Institute of Technology Reviews
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Compare Massachusetts Institute of Technology with Similar Companies
Change Company | Change Company | Change Company | ||
|---|---|---|---|---|
Overall Rating | 3.5/5 based on 69 reviews | 3.6/5 based on 1.2k reviews | 3.6/5 based on 1.1k reviews | 3.5/5 based on 3k reviews |
Highly Rated for | No highly rated category | No highly rated category | Job Security | No highly rated category |
Critically Rated for | Promotion/Appraisals Salary & Benefits Job Security | Promotion/Appraisals Salary & Benefits Work Satisfaction | Promotion/Appraisals Salary & Benefits Skill development | Promotion/Appraisals Work-Life balance Work Satisfaction |
Primary Work Policy | - | Hybrid 47% employees reported | Work from office 95% employees reported | Work from office 87% employees reported |
Rating by Women Employees | 2.5 Poor rated by 15 women | 3.5 Good rated by 398 women | 3.3 Average rated by 398 women | 3.5 Good rated by 835 women |
Rating by Men Employees | 3.9 Good rated by 43 men | 3.7 Good rated by 761 men | 3.8 Good rated by 616 men | 3.5 Good rated by 2k men |
Job Security | 3.0 Average | 3.6 Good | 3.8 Good | 3.2 Average |
View more
Massachusetts Institute of Technology Salaries
3.0
rated by 69 employees for salariesAssistant Professor
(46 salaries)
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₹1.2 L/yr - ₹9 L/yr
Lecturer
(14 salaries)
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₹1.9 L/yr - ₹4.5 L/yr
Professor
(6 salaries)
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₹3 L/yr - ₹20 L/yr
Executive Assistant
(6 salaries)
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₹3.6 L/yr - ₹9 L/yr
System Administrator
(6 salaries)
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₹5.5 L/yr - ₹7.5 L/yr
Assistant Facility Manager
(5 salaries)
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₹4 L/yr - ₹4.5 L/yr
Assistant Prof
(5 salaries)
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₹3 L/yr - ₹11 L/yr
HR Executive
(5 salaries)
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₹3.8 L/yr - ₹4 L/yr
Director
(4 salaries)
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₹6 L/yr - ₹42.4 L/yr
Accountant
(4 salaries)
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₹2.8 L/yr - ₹4 L/yr
Massachusetts Institute of Technology News
View all
Tiny wireless antennas use light to unlock the secrets of cellular communication
- Scientists at MIT have developed a wireless antenna technology called OCEANs (organic electro-scattering antennas) to monitor cellular communication.
- OCEANs use light to detect small electrical signals, eliminating the need for wires and enabling easier study of biological systems.
- This breakthrough could enhance understanding of diseases like arrhythmia and Alzheimer’s and open avenues for improved treatments and diagnostics.
- OCEANs are made from a special polymer that scatters light in response to electrical activity, allowing precise measurement of cellular communication.
Knowridge | 22 Dec, 2024
This Week in AI: Security Flaw Exposes AI Giants While Robot Workers Get Upgrade
- Security researchers demonstrated a security vulnerability in AI systems, stealing AI models through electromagnetic signals.
- MIT developed PRoC3S, an AI system to enhance warehouse robot capabilities for handling odd-shaped packages.
- Three nations, including the US, Malaysia, and the UK, launched AI oversight initiatives and regulations.
- Google released Gemini 2.0, a more autonomous AI system for handling complex tasks across multiple platforms.
Pymnts | 21 Dec, 2024
Nanosecond Neural Networks: MIT’s Photonic Chip Approach to Hyper-Efficient AI Computation
- MIT researchers have developed a photonic chip that enables faster and more energy-efficient AI computations.
- The photonic chip achieves 96% accuracy during training and 92% during inference while using significantly less power.
- It completes key calculations in under half a nanosecond, paving the way for ultra-fast AI applications.
- The chip integrates photonic and electronic components to handle nonlinear operations and can be scaled for widespread adoption.
Eweek | 20 Dec, 2024
AI Translator Could Be ROI Boon
- Researchers at MIT have developed a system called EXPLINGO that translates AI decisions into plain English.
- EXPLINGO uses AI language models and a fact-checker to convert complex explanations into clear narratives.
- This technology can help businesses provide clearer explanations to customers about AI-driven decisions, improving transparency.
- By understanding AI reasoning, companies can refine their automated systems to better serve customer needs.
Pymnts | 20 Dec, 2024
Robots Get Nimble New AI Brain for Tricky Warehouse Work
- MIT researchers have developed an artificial intelligence system that could enable warehouse robots to handle odd-shaped packages and navigate crowded spaces.
- The AI system, called PRoC3S, combines AI language models with computer vision to make robots smarter and safer.
- The robots test their plans in a virtual environment before executing them in the real world, increasing accuracy and efficiency.
- PRoC3S could revolutionize warehouse operations by allowing robots to perform complex tasks that traditionally require human dexterity and spatial awareness.
Pymnts | 19 Dec, 2024
Sahara AI’s new Data Services Platform allows anyone to earn money by creating datasets for AI
- Sahara AI Ltd. has launched its Data Services Platform, allowing anyone to contribute to the AI ecosystem by creating datasets for model training.
- The platform aims to provide a decentralized data marketplace for AI developers and ensures ownership attribution and compensation for data creators through blockchain technology.
- Participants in the platform can subscribe to data markets and be fairly compensated for their efforts.
- Over 400,000 contributors have signed up, including leading technology companies and innovators like Microsoft, Amazon, Snap, and MIT.
Siliconangle | 18 Dec, 2024
IEEE Awards announce Daniela Rus as 2025 Edison Medal recipient
- Daniela Rus has been awarded the 2025 Edison Medal by IEEE for her contributions to modern robotics.
- Rus is the director of MIT's Computer Science and Artificial Intelligence Laboratory (MIT CSAIL) and a professor at MIT.
- The IEEE Awards Board recognizes individuals for their exceptional achievements and contributions to technology and society.
- Rus will also keynote the Robotics Summit & Expo in Boston in April 2025.
The Robot Report | 17 Dec, 2024
Small but mighty: MIT scientists spot tiny asteroids in the main belt
- Astronomers at MIT have discovered the smallest asteroids ever detected in the main asteroid belt between Mars and Jupiter.
- These tiny asteroids, some as small as 10 meters across, could still have a significant impact if they were to reach Earth.
- Using a new approach called "shift and stack", researchers identified over 100 tiny asteroids, shedding light on their origins and potential paths towards Earth.
- Studying these asteroids helps scientists understand the evolution of asteroids and aids in planetary defense to track potential collision risks.
Knowridge | 15 Dec, 2024
How to analyze the AI model’s reliability before deploying it.
- IBM and MIT researchers have developed a technique to measure the reliability of general purpose AI models before deployment.
- The technique involves assessing the consistency of results among slightly different models using an algorithm.
Medium | 14 Dec, 2024
Research Bits: Dec. 11
- Researchers from MIT, Enosemi, and Periplous have developed a photonic processor that can perform deep neural network computations optically on the chip.
- The chip uses three layers of devices to perform linear and nonlinear operations.
- To achieve nonlinear operations, the researchers designed nonlinear optical function units (NOFUs) that combine electronics and optics.
- The photonic processor achieved key computations for machine learning with high accuracy and ultra-low latency.
Semiengineering | 11 Dec, 2024
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