Introduction
The tech world is buzzing with stories of young achievers breaking barriers and landing dream jobs at global giants. One standout tale is that of Manoj Tumu, a 23-year-old Indian-American machine learning engineer, who swapped his lucrative position at Amazon for an even bigger opportunity at Meta, where his total compensation package exceeds ₹3.36 crore. Manoj’s journey is a beacon for students and job seekers in India, showing what it really takes to break through in the competitive field of AI and machine learning careers.
Summary:
- Manoj Tumu switched from Amazon to Meta for a ₹3.36 crore AI job.
- Practical experience outweighed personal projects in his job search.
- Internships and direct applications were key in landing top roles.
- Preparation for behavioural interviews and tailoring answers to company values proved essential.
- Manoj chose passion and long-term growth over immediate higher pay.
Manoj Tumu’s Journey: Amazon to Meta
Big Tech Switch: Why Manoj Chose Meta
While working at Amazon, Manoj held a coveted tech position, yet he was drawn to Meta’s AI research team, which offered not only a higher compensation ($400,000/₹3.36 crore) but also a chance to work on cutting-edge projects in machine learning and advertising research. The ever-evolving field of AI provided Manoj with opportunities for growth, innovation, and personal satisfaction.
Lessons From Manoj’s Application Process
Manoj’s approach to job applications was refreshingly straightforward—he preferred direct submissions through company websites and LinkedIn rather than seeking referrals. His resume focused entirely on professional experience, consciously leaving out personal projects as he progressed in his career.
- Internships, not side projects, gave him the credibility to stand out.
- He stressed that practical experience built during college is crucial for landing interviews at tech giants.
- Manoj skipped referrals, believing a strong resume could do all the talking.
Nail the Interview: Preparation Tips
Securing a top AI job takes more than coding skills. Manoj emphasizes rigorous interview preparation, especially for behavioural rounds.
- Tailor answers to each company’s core values—Amazon’s leadership principles and Meta’s culture.
- His Meta hiring journey included a screening call and six weeks of multi-stage interviews, featuring coding, machine learning, and behavioural questions.
- Top mistake: Going unprepared for behavioural interviews.
Picking Passion Over Pay
Early in his career, Manoj faced a pivotal choice: a high-paying software engineering role or a less lucrative machine learning contract that matched his interests. He chose passion over short-term financial gain, betting on machine learning’s future potential. This gamble fueled his progression into high-impact roles and eventually led to his current position at Meta.
How To Break Into AI & ML: Manoj’s Advice for Indian Aspirants
Landing a top job at Meta or Amazon is tough, but Manoj’s tips offer a roadmap for Indian students and professionals:
- Internships matter: Start early and seek internships related to AI or ML during college.
- Focus on work experience: Over time, replace personal projects with actual professional roles on your resume.
- Customize your interview prep: Study the company’s values and align your answers accordingly.
- Apply directly: Use official job portals and LinkedIn, and let your skills shine through your application.
- Don’t fear starting small: Even low-paying roles in your area of interest can open doors to bigger opportunities later.
Frequently Asked Question (FAQ’s)
1. Who is Manoj Tumu?
He is a 23-year-old Indian-American machine learning engineer now working at Meta’s advertising research team after leaving Amazon.
2. What is Manoj’s total compensation at Meta?
He earns over $400,000 (approximately ₹3.36 crore) in his AI engineer role.
3. How did Manoj get the Meta job?
By applying directly through company portals and LinkedIn, focusing on professional experience and thorough interview prep.
4. Is experience or projects more important for AI jobs?
Manoj insists that professional experience, such as internships and actual roles, is more valuable than personal projects for landing top jobs
5. What interview tips does Manoj suggest?
Prepare rigorously—especially for behavioral rounds—and align your answers with company values.
6. Why did Manoj choose machine learning over software engineering?
He preferred long-term potential and personal interest in AI, which eventually led to more lucrative opportunities.
7. How can students in India stand out for top AI roles?
Start internships early, build real-world skills, apply directly, and prioritize growth over immediate salary.
Conclusion
Manoj Tumu’s journey from Amazon to Meta proves that practical experience, direct applications, and thorough preparation unlock doors in India’s booming tech scene. For young Indians dreaming of top AI roles, his story is both a lesson and an inspiration: prioritize passion, stay prepared, and seize every opportunity to learn on the job. The future of technology is open to those willing to invest in skills and perseverance.
