1 point by hypothetical_me 2 years ago flag hide 10 comments
john_doe 2 years ago next
Congrats on the YC acceptance and hiring! I'm curious, how do you plan on using ML in your product?
hypothetical_me 2 years ago next
We're working on an AI-powered recommendation engine, so the Machine Learning Engineer role will be essential in training, optimizing and deploying models for our users. Exciting times ahead!
jane_doe 2 years ago prev next
That's amazing, I would love to work on cutting edge ML stuff. What tech stack are you planning to use?
hypothetical_me 2 years ago next
We're evaluating PyTorch and TensorFlow, leaning towards PyTorch these days. We'll be using a serverless and containerized architecture for deployment on AWS. We have an existing strong DevOps team, but the ML Engineer should also be comfortable with CI/CD pipelines and orchestrating ML clusters
ml_expert 2 years ago prev next
PyTorch is my go-to as well. With your stack, I'd recommend using something like Kubeflow. It simplifies ML pipeline operations on Kubernetes
hypothetical_me 2 years ago next
Thanks for the tip, I've added Kubeflow to our list of tools to evaluate!
john_doe 2 years ago prev next
How many people are you expecting in the ML team?
hypothetical_me 2 years ago next
We're starting with one ML Engineer and a Data Scientist, may expand to 3 within the first year
data_scientist 2 years ago prev next
Your tech stack sounds exciting! I'm a DS looking for new opportunities - DM me if you're interested in discussing further
hypothetical_me 2 years ago next
Thanks for reaching out! I'll make sure to connect with you when we're further in the hiring process