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Massachusetts Institute of Technology
3.8
based on 63 Reviews
Company Overview
Company Locations
Working at Massachusetts Institute of Technology
Company Summary
Overall Rating
3.8/5
based on 63 reviews
3% above
industry average
Critically rated for
Promotions, Salary, Job security
Work Policy
Monday to Saturday
67% employees reported
Flexible timing
50% employees reported
No travel
47% 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 63 reviews
Overall Rating
3.8/5
How AmbitionBox ratings work?
5
25
4
13
3
11
2
6
1
8
Category Ratings
3.7
Work-life balance
3.3
Company culture
3.3
Skill development
3.3
Work satisfaction
3.2
Job security
3.2
Salary
2.9
Promotions
Massachusetts Institute of Technology is rated 3.8 out of 5 stars on AmbitionBox, based on 63 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 | 3.8/5 based on 63 reviews | 3.6/5 based on 1.3k reviews | 3.4/5 based on 3.3k reviews | 3.9/5 based on 1.4k reviews |
Highly Rated for | No highly rated category | No highly rated category | No highly rated category | Skill development Work-life balance Salary |
Critically Rated for | Promotions Salary Job security | Promotions Salary Work satisfaction | Work-life balance Promotions Job security | No critically rated category |
Primary Work Policy | - | Hybrid 49% employees reported | Work from office 87% employees reported | Work from office 96% employees reported |
Rating by Women Employees | 3.5 Good rated by 13 women | 3.5 Good rated by 422 women | 3.5 Good rated by 921 women | 4.0 Good rated by 771 women |
Rating by Men Employees | 3.9 Good rated by 40 men | 3.6 Good rated by 790 men | 3.4 Average rated by 2.2k men | 3.9 Good rated by 573 men |
Job security | 3.2 Average | 3.6 Good | 3.1 Average | 3.7 Good |
View more
Massachusetts Institute of Technology Salaries
Massachusetts Institute of Technology salaries have received with an average score of 3.2 out of 5 by 63 employees.
Assistant Professor
(41 salaries)
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₹1.2 L/yr - ₹9 L/yr
Professor
(6 salaries)
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₹3 L/yr - ₹20 L/yr
System Administrator
(6 salaries)
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₹6 L/yr - ₹7.5 L/yr
Assistant Facility Manager
(5 salaries)
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₹4 L/yr - ₹4.5 L/yr
Executive Assistant
(4 salaries)
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₹2.9 L/yr - ₹7 L/yr
Accountant
(4 salaries)
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₹2.8 L/yr - ₹4 L/yr
Team Lead
(4 salaries)
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₹3.3 L/yr - ₹3.5 L/yr
Head Administration and HR
(4 salaries)
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₹7.2 L/yr - ₹9.2 L/yr
Senior Accountant
(4 salaries)
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₹4 L/yr - ₹5.4 L/yr
Assistant Lecturer
(4 salaries)
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₹2 L/yr - ₹9 L/yr
Massachusetts Institute of Technology News
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MIT Wants You to Secure Your Hardware Designs
- MIT offers an open-source course in secure hardware design.
- The course covers how to attack and defend CPUs from bad actors.
- The lecture slides provide interesting insights on side channel attacks and RowHammer.
- The course is accessible to anyone interested in learning about secure hardware design.
Hackaday | 3 Apr, 2025
MIT’s Dean of Computing: 4 Inconvenient Truths About GenAI
- Daniel Huttenlocher, dean of the MIT Schwarzman College of Computing, emphasizes the importance of experimentation and understanding limitations when deploying AI.
- Businesses can gain a competitive edge with AI through small, targeted experiments that lead to successes and gradual growth.
- Companies should focus on re-envisioning products and operations using AI for innovation, not just optimization.
- Huttenlocher highlights four overlooked ideas about AI, including the challenges in making GenAI models reliable agents.
- AI models do not reason like humans, making collaborative AI systems that work with humans crucial for industries like healthcare.
- Cultural and technical transformation is necessary to successfully deploy AI, requiring cross-functional collaboration and understanding both AI capabilities and industry nuances.
- AI is neither inherently good nor bad, and it is essential to have a balanced view and be attentive to how AI is used.
- The narrative surrounding AI ranges from utopian to dystopian, but the reality lies in finding a middle ground in its usage.
Pymnts | 2 Apr, 2025
Scaling the Depths: Oceananigans Achieves Record-Breaking Climate Simulation Performance
- The Oceananigans model achieved record-breaking performance in climate simulations, notably with realistic and aqua planet domains spanning global ocean latitudes.
- Simulations were conducted with varying horizontal resolutions and vertical levels, showcasing impressive macroscale turbulent ocean features.
- The model utilized innovative numerical methods in Julia, optimizing ocean dynamics for exceptional GPU scalability and resolving submesoscale vorticity features.
- Performance measurement involved estimating simulated years per day (SYPD) and efficiency in simulated years per mega-watt-hour (SYPMWh).
- Strong scaling tests on clusters like MIT Satori and Engaging MIT showed high efficiency in single and double precision computations across varying GPU configurations.
- Ideal scaling was seen in higher-resolution simulations, achieving almost optimal scaling with load balance improvements as GPU numbers increased.
- Unique achievements included reaching 1 SYPD on kilometer-scale resolutions and testing setups on a significant number of nodes for unprecedented performance.
- Weak scaling tests on NERSC's Perlmutter supercomputer demonstrated 100% efficiency, progressively increasing resolutions and GPU numbers while maintaining vertical levels.
- The paper is accessible on arxiv under CC BY 4.0 DEED license, highlighting the importance of the Oceananigans model's groundbreaking climate simulation performance.
Hackernoon | 31 Mar, 2025
For this computer scientist, MIT Open Learning was the start of a life-changing journey
- Ana Trišović, a computer scientist from Serbia, had a life-changing experience when she discovered MIT OpenCourseWare.
- Studying a course on Data Analytics with Python through MIT OpenCourseWare allowed her to learn from world-class resources.
- Trišović's dedication and persistence led her to explore various OpenCourseWare resources, which played a significant role in her career.
- Currently, as a research scientist at MIT, she focuses on computational social science and the democratization of AI.
Mit | 30 Mar, 2025
🔮 The Sunday edition #517: Ghibli, AI & semantic apocalypse; AI team; China’s order; nuclear, hacker enzymes, intergalactic travel++
- OpenAI's new image model, flooding social media with Ghibli-style images, is causing a 'semantic apocalypse' according to Erik Hoel.
- The proliferation of Ghibli-style art leads to a sense of emptiness and concerns about art theft, highlighting the importance of human creativity.
- AI, like Gemini 2.5 Pro, is increasingly being seen as a cybernetic teammate, enhancing productivity and communication in human-AI teams.
- China has transitioned from imitator to innovator, with companies like BYD and DeepSeek challenging Western dominance in technology.
- Anthropic's research on AI model Claude reveals a mix of structured behavior and confabulation, raising questions about AI consciousness.
- The ARC benchmark emphasizes the need for fluid intelligence in AI, showcasing abilities beyond mere mimicry.
- AI advancements from Earth AI, MIT, H&M, Terrestrial Energy, biosynthetic technologies, Apple, protease engineering, cement recycling, and interstellar travel are highlighted.
- Sana's AI platform simplifies enterprise AI tasks, offering automation, meeting summarization, task completion, cross-app search, and deep research capabilities.
Exponential View | 30 Mar, 2025
MIT Integration Bee Competition (2006)
- The author initially considered integration by parts and u-substitution methods to solve the problem.
- They used a different approach by focusing on the boundaries and performing a U-substitution with u = π/2-x.
- The author applied a trig identity to eliminate the negative sign in the integration bounds.
- By summing up the two resulting integrals and using trigonometric identities, they obtained the final solution.
Medium | 29 Mar, 2025
MIT Researchers Develop Drone Navigation System Without Using GPS
- Researchers from MIT have developed a drone navigation system called MiFly.
- MiFly uses lightweight millimeter wave (mmWave) radars and a custom-designed backscatter anchor for precise drone localization.
- The system replaces the need for GPS and camera-based navigation, making it suitable for indoor, underground, and GPS-denied environments.
- MiFly has potential applications in warehouse management, search and rescue operations, underground mines, and package delivery.
Dronevideos | 29 Mar, 2025
Initializing the Doyle-Fuller-Newman (DFN) Battery Model
- Initializing DAEs is a crucial step in the numerical solution process, as it ensures the consistency and well-posedness of the problem.
- We generate a 32-dimensional DAE initialization problem for a Doyle-FullerNewman (DFN) battery model[15] [58, 59] from open-circuit voltage (OCV) charged at a high current [60, 59].
- We benchmark several methods in solving the DAE initialization problem and find that all the tested NonlinearSolve.jl solvers (except QuasiNewton Methods[16]) are successful. Sundials and MINPACK fail to solve the problem. NLsolve.jl provides a solution, but with worse performance.
- The paper is available on arxiv under CC BY 4.0 DEED license. The authors include Avik Pal, Flemming Holtorf, Axel Larsson, Torkel Loman, Utkarsh, Frank Schäfer, Qingyu Qu, Alan Edelman, and Chris Rackauckas from CSAIL MIT, Cambridge, MA.
Hackernoon | 28 Mar, 2025
Feeling Addicted to ChatGPT? You’re Not Alone, According to MIT & OpenAI
- Recent studies indicate that some ChatGPT users are exhibiting signs of addiction, including withdrawals and mood swings.
- OpenAI and MIT conducted separate studies to examine the relationship between ChatGPT and its users.
- Findings revealed that emotional interactions with ChatGPT are rare, and non-personal conversations lead to heightened emotional dependence.
- MIT and OpenAI aim to minimize the harmful effects of AI by studying human-AI interactions and providing greater transparency on ChatGPT's capabilities.
Eweek | 27 Mar, 2025
Generative AI Foundations: Ev Fedorenko (MIT)
- Language and thought are distinct cognitive faculties, though interrelated.
- The human brain has a specialized language system in the frontal and temporal lobes.
- Large Language Models (LLMs), like GPT-2, have remarkable linguistic capabilities.
- LLMs lack key attributes of human cognition, such as sensorimotor and affective integration.
Medium | 26 Mar, 2025
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Massachusetts Institute of Technology FAQs
Does Massachusetts Institute of Technology have good work-life balance?
Massachusetts Institute of Technology has a Work-Life Balance Rating of 3.7 out of 5 based on 60+ employee reviews on AmbitionBox. 60% employees rated Massachusetts Institute of Technology 4 or above, while 40% employees rated it 3 or below on work-life balance. This indicates that the majority of employees feel a generally balanced work-life experience, with some opportunities for improvement based on the feedback. We encourage you to read Massachusetts Institute of Technology work-life balance reviews for more details
Is Massachusetts Institute of Technology good for career growth?
Career growth at Massachusetts Institute of Technology is rated as poor, with a promotions and appraisal rating of 2.9. 40% employees rated Massachusetts Institute of Technology 3 or below on promotions/appraisal. This rating reflects a negative sentiment among employees for career growth. We recommend reading Massachusetts Institute of Technology reviews for more detailed insights.
What are the cons of working in Massachusetts Institute of Technology?
Working at Massachusetts Institute of Technology does have some drawbacks that potential employees should consider. The company is poorly rated for promotions / appraisal, salary & benefits and job security, based on 60+ employee reviews on AmbitionBox.
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