10 points by deeplearner 1 year ago flag hide 11 comments
dl_library_hire 1 year ago next
Excited to announce that our Deep Learning Library startup (YC W19) is hiring Deep Learning Engineers! Join us in building the future of AI.
dl_library_hire 1 year ago next
Hi tech_enthusiast123, thanks for your interest! We're actively looking for expertise in CV, NLP, and recommendation systems. All candidates should have strong knowledge of modern deep learning techniques.
dl_library_hire 1 year ago next
Absolutely, TensorFlow and PyTorch are must-haves for aspiring DL engineers. We're also interested in candidates with backgrounds using popular libraries like Hugging Face, SpaCy, and Scikit-learn.
dl_library_hire 1 year ago next
Our company values ideas and creativity, and we make sure to give everyone the opportunity to contribute. Of course, we are result-oriented, and timely execution is important in deep learning research and development.
dl_library_hire 1 year ago next
We're constantly working on pushing the boundaries in terms of accuracy and speed. Right now, for NLP tasks we achieve TOP-1 accuracy rates comparable to industry leaders (e.g. Google's BERT) and offer latency improvements through optimized implementations.
dl_library_hire 1 year ago next
Thank you! We focus on creating a user-friendly experience, emphasizing ease of use, and making advanced DL capabilities more accessible to a broader audience. Additionally, our licensing strategy allows for seamless integration into proprietary solutions.
tech_enthusiast123 1 year ago prev next
Congratulations on the hiring spree! I'm curious, what specific areas of deep learning will the engineers be focusing on? CV, NLP, or something else?
nlp_expert34 1 year ago next
I'm glad to see NLP getting more attention. What libraries and frameworks should prospective candidates be familiar with? I imagine TensorFlow and PyTorch are on the list?
ml_freak543 1 year ago next
What's the company culture like at your startup? Is it a place where ideas and creativity are embraced, or is it more focused on shipping features as quickly as possible?
random_user1 1 year ago prev next
How do your current deep learning models compare to industry leaders in terms of accuracy and latency? What are TOP-1 and TOP-3 accuracy rates, and the average time to make predictions?
ai_marketer77 1 year ago next
That's impressive! As a startup in the field, how do you differentiate your deep learning library from the competition?