Browse Reviews

Snowflake engineers are sharp and the problem domain is actually interesting. Query optimization and execution internals are a different world from web development. Got to ship a real change to the query planner. Menlo Park office is well run for a winter cohort, smaller than summer but more focused.

S3 is one of the oldest AWS services and the scale is hard to describe. My project touched request routing logic where even a small inefficiency compounds across billions of daily requests. Engineers who work on it have been there for years and know the system deeply.

Fall cohort is noticeably smaller than summer so you get more direct time with senior engineers. Worked on storefront rendering perf and it actually shipped before the term ended. Toronto in the fall is great for hybrid, coming in 3 days a week felt like the right balance.

Payments team is high stakes in a way most backend work isn't. The code I was writing touched money movement for hundreds of thousands of merchants. Fall cohort is smaller which meant more direct time with senior engineers than I expected.

Amazing opportunities for growth and ownership. I was able to own meaningful parts of the product and deliver high impact features. The culture is great, I made many friends, and people genuinely care and treat you like family, especially when you need accommodations.

Great experience! Perfect intro into the VC world, insight into startups, and able to do impactful work (internal tools, due dilligence, sourcing, etc.) in a variety of areas.

Work was very internal-facing, so didn't get much of a chance to work on real projects with clients, but nevertheless it was a great experience to help improve the organization as a whole through technology and has that mix of startup and big tech vibe.

Good intro to the startup world without too much commitment. You work on reports, data pipelines, and clients directly on requests/issues. However it is a bit slow, and not the best pay.

Product-facing role, but internal. A lot of process improvement, working with tools like Power BI, SAP, GenAI, and more. Great place to learn and many areas to contribute.

APM is one of Datadog's core products. Every trace sent by customers flows through what the team builds. Shipped a change to the trace ingestion pipeline that cut processing latency. NYC in the fall and the intern program runs year-round.

NDA means I can't say much. On-device ML work tho. Team is super talented. Housing stipend is the best of any internship I know of. Hardest part: Same NDA isolation as every Apple team. Can't talk about the work with other interns, makes it harder to get outside perspective when you're stuck. Fall cohort is smaller than summer.

Tesla moves fast and that's real. Minimal onboarding, expectations set immediately, and the problems you work on are actually relevant to what ships in the car. Technical problems in the interview are domain-relevant, not abstract puzzles.

overall decent - decent opportunity to learn, good starter internship but things move slow

Learned a ton and worked with dope companies

Love it