Fast-growing tech company with a high-quality ML team in Sydney, responsible for driving customer relevancy across billions of e-commerce transactions each year. This presents plenty of opportunities to work on challenging data science / ML problems at scale. Salaries and benefits are generous, including all team members participating in the company stock plan.
More senior roles need to invest regular time collaborating with colleagues in NY, resulting in early morning meetings and regular travel.
The process was standard IQ testing and a two-minute video about a project that I'd completed, then a Zoom code interview, then a system architecture interview, and then finally a fit interview. - Standard IQ testing and a two-minute video about a p
I applied online. The process took 3 weeks. - First was a screening round. - Then there was a video recording round. - Finally, there was a data structures and algorithms round, which was focused on medium problems. The problem was on strings and lo
A simple online interview with the team lead about my experience and a few technical questions. I applied for a junior role, but they changed it to a graduate role.
The process was standard IQ testing and a two-minute video about a project that I'd completed, then a Zoom code interview, then a system architecture interview, and then finally a fit interview. - Standard IQ testing and a two-minute video about a p
I applied online. The process took 3 weeks. - First was a screening round. - Then there was a video recording round. - Finally, there was a data structures and algorithms round, which was focused on medium problems. The problem was on strings and lo
A simple online interview with the team lead about my experience and a few technical questions. I applied for a junior role, but they changed it to a graduate role.