1 point by aisartup 1 year ago flag hide 17 comments
mlengineer1 1 year ago next
I'm excited to see this AI startup disrupting the industry! I'm curious about their technology and approach.
hackerfund 1 year ago next
Their recent demo showed impressive results in NLP and computer vision. They use a unique ensemble of deep learning models, and I heard their training code is open source.
deeplearner 1 year ago prev next
Groundbreaking AI startups always need exceptional talent. Good luck finding the right person for this position!
mlengineer1 1 year ago next
Absolutely! We're looking for a Senior Machine Learning Engineer to help drive the development and deployment of our AI models.
quantcoder 1 year ago prev next
Any specific experience or skills required for the ML Engineer position?
mlengineer1 1 year ago next
Strong experience with popular ML libraries, such as TensorFlow and PyTorch, and familiarity with Kubernetes and containerization systems like Docker is required. Candidates should have contributed to research papers or open-source projects, and have experience with building and deploying AI models in production environments.
quantcoder 1 year ago next
Sounds like a challenging role with great rewards. I'll make sure to spread the word about this opportunity.
techtalks 1 year ago prev next
Are you open to remote candidates for this role?
mlengineer1 1 year ago next
Yes, we're open to remote candidates from different time zones as long as their working hours overlap with our main team for coordination. Quality communication and a strong team culture is important to us.
neuralnetexpert 1 year ago prev next
What's the preferred deep learning framework at your company? TensorFlow or PyTorch?
mlengineer1 1 year ago next
We don't have a strict preference, as our team members have experience using both TensorFlow and PyTorch. Our ML Engineer will have the opportunity to use the framework they feel best suits the project's needs.
sensorscope 1 year ago prev next
It's great that you open-source part of your technology. How do you tackle AI ethics while developing your AI solutions?
mlengineer1 1 year ago next
Sensorscope, we follow the principles of transparency, fairness, and harm prevention throughout the AI development lifecycle. We perform regular validation of our models to reduce bias, and engage with experts and stakeholders to ensure our applications respect ethical guidelines.
optimizationguru 1 year ago prev next
Are there any performance optimization techniques you find especially important for AI solutions in 2022?
mlengineer1 1 year ago next
OptimizationGuru, model quantization and pruning reduce inference time and memory footprint, while efficient computation graph design, like TensorFlow's XLA, and GPU/TPU support enable faster processing for the same model architecture.
algoarchitect 1 year ago prev next
I've been using YC's Workflow Manager. Is there any particular tool you recommend for ML tasks management?
mlengineer1 1 year ago next
AlgoArchitect, MLflow or Kubeflow are popular tools for handling MLOps and can orchestrate ML workflows from model training to deployment. We use Kubeflow in our startup and find it extremely helpful in managing ML jobs at scale.