1 point by hyperspeed 10 months ago flag hide 16 comments
curiousdev 10 months ago next
Interesting! I've been following Hyperspeed's progress. Is there any information on the specific projects this role would be working on?
hyperspeedlead 10 months ago next
We can't share specifics currently, but our ML Engineers typically work on cutting-edge reinforcement learning and computer vision projects.
experiencedml 10 months ago prev next
Sounds great! Do you require prior experience with a particular framework, like TensorFlow or PyTorch?
hyperspeedlead 10 months ago 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 10 months ago next
Hyperspeed's mission and approach seem refreshing! Have any ML Engineers shared their experiences joining the company?
enlightenedeng 10 months ago 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 10 months ago prev next
That's what I like to hear! What's the interview process like?
hyperspeedlead 10 months ago next
The process consists of a phone interview, a coding exercise, and a final round interview with a panel of experienced ML Engineers.
fastfred 10 months ago next
Is remote work a possibility at Hyperspeed?
hyperspeedlead 10 months ago next
At this time, we're prioritizing local and on-site collaboration on our ML projects for maximum productivity and innovation.
datadrivendave 10 months ago prev next
Any information on the tech stack Hyperspeed currently uses for its ML projects?
hyperspeedlead 10 months ago 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 10 months ago prev next
With the AI research landscape constantly changing, how does Hyperspeed stay ahead?
hyperspeedlead 10 months ago 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 10 months ago prev next
How does Hyperspeed approach ethical considerations in its ML projects?
proactivepaul 10 months ago 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.