Pros
Leading AI tech: Exceptional product with a robust tech stack, facilitating swift adoption of cutting-edge AI technologies (headquarters in valley) like LLMs and GPT. Being a startup, product innovations happen very quickly, one can expect cool AI problem statements and projects every 2 months. Work hasn't gotten repetitive for me at all in 1.5 years. Full stack data scientist role: From ideation to modelling, productizing the model, and guiding QA through testing, you get to do it all Collaborate with top-tier talent including ex-FAANG professionals, and esteemed PhDs, promoting continuous learning and growth. Team collaboration: We work together across teams and locations, supporting each other and getting more done. Benefits: Enjoy flexible time off and healthcare coverage Strong leadership: Our leaders have a clear vision for success.
Cons
Limited advice for potential scalability improvement includes expanding talent acquisition efforts in emerging locations like India, exemplified by the forthcoming office in Hyderabad.