HyperCube | Software Engineer | New York, NY (NYC) & San Francisco Bay Area, CA (SF) & Tel Aviv, Israel | Full-time | https://grnh.se/7bf4a2f63us
Do you want to work on challenging machine learning and distributed systems problems? HyperCube is a real-time serving engine for deep learning retrieval applications.
Required experience
- We are looking for software engineers with at least 3 years of experience
- At least one scripting language, such as Python, Scala, etc.
- At least one compiled language, such as C++, Go, Java, etc.
Preferred experience, 2 or more of the following:
- At least one deep learning framework, such as Tensorflow, PyTorch, MXNet, etc.
- Building web-scale services and/or distributed systems
- Productionizing machine learning models and applications
- Embeddings and nearest-neighbor search algorithms
- Information retrieval (i.e. Lucene, Elasticsearch, database internals, etc.)
Our current tech stack: AWS, Kubernetes, Python, C++.
HyperCube is a distributed team with offices in New York, NY, San Mateo, CA, and Tel Aviv, Israel. Our team includes world-class scientists and engineers who built large scale ML applications and platforms (including Amazon SageMaker) at leading companies and cloud providers. We are passionate about building great solutions by pushing the boundaries of science and technology.
HyperCube | Software Engineer | New York, NY (NYC) & San Francisco Bay Area, CA (SF) & Tel Aviv, Israel | Full-time | https://grnh.se/7bf4a2f63us
Do you want to work on challenging machine learning and distributed systems problems? HyperCube is a real-time serving engine for deep learning retrieval applications.
Required experience
- We are looking for software engineers with at least 3 years of experience
- At least one scripting language, such as Python, Scala, etc.
- At least one compiled language, such as C++, Go, Java, etc.
Preferred experience, 2 or more of the following:
- At least one deep learning framework, such as Tensorflow, PyTorch, MXNet, etc.
- Building web-scale services and/or distributed systems
- Productionizing machine learning models and applications
- Embeddings and nearest-neighbor search algorithms
- Information retrieval (i.e. Lucene, Elasticsearch, database internals, etc.)
Our current tech stack: AWS, Kubernetes, Python, C++.
HyperCube is a distributed team with offices in New York, NY, San Mateo, CA, and Tel Aviv, Israel. Our team includes world-class scientists and engineers who built large scale ML applications and platforms (including Amazon SageMaker) at leading companies and cloud providers. We are passionate about building great solutions by pushing the boundaries of science and technology.
HyperCube | Software Engineer | New York, NY (NYC) & San Francisco Bay Area, CA (SF) & Tel Aviv, Israel | Full-time | https://grnh.se/8cc92a153us
Do you want to work on challenging machine learning and distributed systems problems? HyperCube is a real-time serving engine for deep learning retrieval applications.
Required experience
- We are looking for software engineers with at least 2 years of experience
- At least one scripting language, such as Python, Scala, etc.
- At least one compiled language, such as C++, Go, Java, etc.
Preferred experience, 2 or more of the following:
- At least one deep learning framework, such as Tensorflow, PyTorch, MXNet, etc.
- Building web-scale services and/or distributed systems
- Productionizing machine learning models and applications
- Embeddings and nearest-neighbor search algorithms
- Information retrieval (i.e. Lucene, Elasticsearch, database internals, etc.)
Our current tech stack: AWS, Kubernetes, Python, C++.
HyperCube is a distributed team with offices in New York, NY, San Mateo, CA, and Tel Aviv, Israel. Our team includes world-class scientists and engineers who built large scale ML applications and platforms (including Amazon SageMaker) at leading companies and cloud providers. We are passionate about building great solutions by pushing the boundaries of science and technology.
HyperCube | Software Engineer | New York, NY (NYC) & San Francisco Bay Area, CA (SF) & Tel Aviv, Israel | Full-time | https://www.hypercube.ai
Do you want to work on challenging machine learning and distributed systems problems? HyperCube is a real-time serving engine for deep learning retrieval applications.
Required experience
- We are looking for software engineers with at least 2 years
of experience
- At least one scripting language, such as Python, Scala, etc.
- At least one compiled language, such as C++, Go, Java, etc.
Preferred experience, 2 or more of the following:
- At least one deep learning framework, such as Tensorflow, PyTorch, MXNet, etc.
- Building web-scale services and/or distributed systems
- Productionizing machine learning models and applications
- Embeddings and nearest-neighbor search algorithms
- Information retrieval (i.e. Lucene, Elasticsearch, database internals, etc.)
Our current tech stack: AWS, Kubernetes, Python, C++.
HyperCube is a distributed team with offices in New York, NY, San Mateo, CA, and Tel Aviv, Israel. Our team includes world-class scientists and engineers who built large scale ML applications and platforms (including Amazon SageMaker) at leading companies and cloud providers. We are passionate about building great solutions by pushing the boundaries of science and technology.
Email amir [ at ] hypercube.ai, subject line "Hacker News April 2020", to apply or learn more.
HyperCube | Software Engineer | New York, NY (NYC) & San Francisco Bay Area, CA (SF) & Tel Aviv, Israel | Full-time | https://www.hypercube.ai
Do you want to work on challenging machine learning and distributed systems problems? HyperCube is a real-time serving engine for deep learning retrieval applications.
We are looking for a software engineer with at least 2 years of experience.
Our current tech stack: AWS, Kubernetes, Python, C++.
Required experience
- At least one scripting language, such as Python, Scala, etc.
- At least one compiled language, such as C++, Go, Java, etc.
Preferred experience, 2 or more of the following:
- At least one deep learning framework, such as Tensorflow, PyTorch, MXNet, etc.
- Building web-scale services and/or distributed systems
- Productionizing machine learning models and applications
- Embeddings and nearest-neighbor search algorithms
- Information retrieval (i.e. Lucene, Elasticsearch, database
internals, etc.)
HyperCube is a distributed team with offices in New York, NY, San Mateo, CA, and Tel Aviv, Israel. Our team includes world-class scientists and engineers who built large scale ML applications and platforms (including Amazon SageMaker) at leading companies and cloud providers. We are passionate about building great solutions by pushing the boundaries of science and technology.
Email amir [ at ] hypercube.ai, subject line "Hacker News March 2020", to apply or learn more.
HyperCube | Software Engineer | New York, NY (NYC) & San Francisco Bay Area, CA (SF) & Tel Aviv, Israel | Full-time | https://www.hypercube.ai
Do you want to work on challenging machine learning and distributed systems problems? HyperCube is a real-time serving engine for deep learning retrieval applications.
We are looking for a software engineer with at least 2 years of experience.
Our current tech stack: AWS, Kubernetes, Python, C++.
Required experience
- At least one scripting language, such as Python, Scala, etc.
- At least one compiled language, such as C++, Go, Java, etc.
Preferred experience, 2 or more of the following:
- At least one deep learning framework, such as Tensorflow, PyTorch, MXNet, etc.
- Building web-scale services and/or distributed systems
- Productionizing machine learning models and applications
- Embeddings and nearest-neighbor search algorithms
- Information retrieval (i.e. Lucene, Elasticsearch, database internals, etc.)
HyperCube is a distributed team with offices in New York, NY, San Mateo, CA, and Tel Aviv, Israel. Our team includes world-class scientists and engineers who built large scale ML applications and platforms (including Amazon SageMaker) at leading companies and cloud providers. We are passionate about building great solutions by pushing the boundaries of science and technology.
amir [ at ] hypercube.ai, subject line "Hacker News February 2020", to apply or learn more.
I always Ctrl+f for IR/License in these threads, the result got me pretty excited to check for remote.
Bummer, but seems like a very interesting opportunity.
HyperCube | Research Engineer, Applied Scientist, Product Manager | New York, NY (NYC) & San Francisco Bay Area, CA (SF) & Tel Aviv, Israel | https://www.hypercubesystems.com
HyperCube develops a high-performance enterprise platform for deploying machine learning and artificial intelligence applications. The nature of our product is such that our technical staff must be technically outstanding, scientifically grounded, and customer outcome driven.
Learn more about our research engineering (http://bit.ly/2JGaDFW), applied science (http://bit.ly/325ychU), and product management roles (http://bit.ly/2px3Mru). Apply by sending your resume to jobs@hypercubesystems.com, subject line "Hacker News November 2019".
Did you find who you are looking for? I sent an email to the address specified with the proper subject line and got the automated response, "We're writing to let you know that the group you tried to contact (jobs) may not exist, or you may not have permission to post messages to the group."
If you're still looking, I'm probably a good fit. I can be contacted at ddouglas87@gmail.com
HyperCube | New York, NY (NYC) & San Francisco Bay Area, CA (SF) & Tel Aviv, Israel | http://bit.ly/2ohHLMs
HyperCube develops a high-performance enterprise platform for deploying machine learning and artificial intelligence applications. The nature of our product is such that our technical staff must be technically outstanding, scientifically grounded, and customer outcome driven.
We're currently hiring research engineers and applied scientists. Apply here: http://bit.ly/2ohHLMs
HyperCube develops a high-performance enterprise platform for deploying machine learning and artificial intelligence applications. The nature of our product is such that our technical staff must be technically outstanding, scientifically grounded, and customer outcome driven.
We're currently hiring research engineers, applied scientists, and product managers. Apply here: http://bit.ly/2lviMnm
I've been considering writing my own puppeteer docker image such that one could freeze the image at crawl time after a page has loaded. This would allow me to re-write the page-parsing logic after the page layout changes. Has anyone done this already or know of any other efforts to serialize the puppeteer page object to handle parsing bugs?
Do you want to work on challenging machine learning and distributed systems problems? HyperCube is a real-time serving engine for deep learning retrieval applications.
Required experience
- We are looking for software engineers with at least 3 years of experience
- At least one scripting language, such as Python, Scala, etc.
- At least one compiled language, such as C++, Go, Java, etc.
Preferred experience, 2 or more of the following:
- At least one deep learning framework, such as Tensorflow, PyTorch, MXNet, etc.
- Building web-scale services and/or distributed systems
- Productionizing machine learning models and applications
- Embeddings and nearest-neighbor search algorithms
- Information retrieval (i.e. Lucene, Elasticsearch, database internals, etc.)
- Hardware acceleration (CPU, GPU, TPU, FPGA, etc.)
Our current tech stack: AWS, Kubernetes, Python, C++. HyperCube is a distributed team with offices in New York, NY, San Mateo, CA, and Tel Aviv, Israel. Our team includes world-class scientists and engineers who built large scale ML applications and platforms (including Amazon SageMaker) at leading companies and cloud providers. We are passionate about building great solutions by pushing the boundaries of science and technology.
Apply here: (NYC) https://grnh.se/7bf4a2f63us
(SF Bay Area): https://grnh.se/8af359d63us
(Tel Aviv): https://grnh.se/ef65badd3us