10 points by deeplearner 10 months ago flag hide 11 comments
dl_library_hire 10 months 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 10 months 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 10 months 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 10 months 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 10 months 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 10 months 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 10 months 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 10 months 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 10 months 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 10 months 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 10 months ago next
That's impressive! As a startup in the field, how do you differentiate your deep learning library from the competition?