How Saurabh Khandelwal Navigated from Startups to Big Tech: Lessons for Machine Learning Engineers
Saurabh Khandelwal's journey from startup beginnings to a important role at Meta reveals key strategies for aspiring machine learning engineers. Dive into how he built a narrative résumé and why it matters in today's tech world.
What's the secret sauce to landing a dream job in machine learning at Big Tech like Meta? Saurabh Khandelwal's career path might just have some answers.
The Raw Data: From Startups to the Big Leagues
Saurabh Khandelwal kicked off his career in the startup scene and later made the leap to Big Tech. He began as a founding machine learning engineer at a startup before testing the waters in New York at a hedge fund back in summer 2022. His big break came when he joined Amazon in February 2023. Fast forward to February 2025, and he's a machine learning engineer at Meta, based in Bellevue, Washington. Not bad for someone still in his 20s.
At Amazon, Khandelwal dug into machine learning implementation, while Meta offered him a blend of research and hands-on product-focused tasks. His switch to Meta in 2025 marked a shift towards more independence and the freedom to test and ship ideas without the typical Big Tech alignment hassles.
The Context: Building a Compelling Narrative
In an industry where technologies and frameworks change faster than you can say "machine learning," how you present your skills is just as important as the skills themselves. Khandelwal's strategy? Craft a résumé that tells a compelling story. Instead of a list of projects, he emphasized his broad understanding of machine learning, thanks to his startup experience, alongside his ability to scale systems, honed at Amazon.
The narrative? He's not just another engineer. He's a well-rounded problem solver with a deep grasp of machine learning from end to end. And that's what caught Meta's attention. It's a move that echoes the age-old advice: "Sell the story, not just the skills." But in a field as dynamic as AI, is a strong résumé narrative a breakthrough?
Insider Insights: What the Industry Thinks
According to insiders, the ability to demonstrate a thorough understanding of machine learning systems makes a candidate stand out. Companies aren't just looking for experts in one niche. They're after individuals who can see the bigger picture and adapt as technologies evolve. Khandelwal's approach to résumé crafting isn't just about storytelling. It's about showcasing adaptability and a strategic mindset, both invaluable in today's tech-driven world.
Traders, tech enthusiasts, and HR professionals alike are watching how AI talent like Khandelwal navigate their careers. His journey importance of both foundational knowledge and the ability to operate at scale, traits that are in high demand as AI reshapes countless industries.
What's Next: The Path Forward for Aspiring Engineers
So, what can budding machine learning engineers learn from Khandelwal's career playbook? First, never underestimate the power of a well-crafted narrative résumé. It's about showing employers not just what you've done, but how you can contribute meaningfully to their vision. And remember, if nobody would hire you without the flashy projects, those projects alone won't save you.
, with AI's rapid evolution, staying updated is important. Whether you're just beginning your career or have some experience under your belt, dedicate time each week to learning. Block an hour, follow the latest research, and engage with the community, just like Khandelwal does.
In the end, it's about being deliberate with your learning and career trajectory. Are you focusing on the right aspects? Are you crafting a résumé that reflects your unique strengths? The tech world is vast, but with the right approach, you can carve out your own space just like Khandelwal did.
