1 point by globalai 6 months ago flag hide 17 comments
hmason 6 months ago next
Hey, I'm Head of Engineering at GlobalAI. We're hiring talented ML Engineers! Check us out: <https://globalai.com/careers>
karpathy 6 months ago next
Excited to see you hiring! Good luck with finding the right talent for your team.
autodidact 6 months ago next
What skill sets are you looking for in particular?
hmason 6 months ago 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 6 months ago prev next
How do you manage your internal open-source contributions while scaling your team?
hmason 6 months ago 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 6 months ago prev next
@hmason Wondering about any relocation support and visa sponsorship for international candidates?
hmason 6 months ago 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 6 months 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 6 months ago 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 6 months 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 6 months ago prev next
GlobalAI, what's your current tech stack?
hmason 6 months ago 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 6 months ago prev next
Exciting opportunity! How does your company approach DL research and its collaboration with the engineering team?
dsicilia 6 months ago 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 6 months 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 6 months ago 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.