42 karma · joined February 13, 2014
Verifying my Blockstack ID is secured with the address 18Si2iMyM28vstfEGSeAVBbTMTrijpSF9X https://explorer.blockstack.org/address/18Si2iMyM28vstfEGSeAVBbTMTrijpSF9X
Edit: I see there is a nutrition facts button.
Is there a button I can press that says "suggest meals with more protein per serving"?
Pinecone (https://www.pinecone.io/) is building similarity search at scale, providing vector indexing as a service. We're a distributed team with offices in New York, San Mateo, and Tel Aviv. At Pinecone you will work with world-class scientists and engineers who have 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: https://grnh.se/a6f4b3203us
Pinecone (https://www.pinecone.io/) is building similarity search at scale, providing vector indexing as a service. We're a distributed team with offices in New York, San Mateo, and Tel Aviv. At Pinecone you will work with world-class scientists and engineers who have 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: https://grnh.se/a6f4b3203us
Pinecone (https://www.pinecone.io/) is building a vector database for machine learning applications. We're a distributed team with offices in New York, San Mateo, and Tel Aviv. At Pinecone you will work with world-class scientists and engineers who have 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: https://grnh.se/a6f4b3203us
Pinecone (https://www.pinecone.io/) is building a vector database for machine learning applications. We're a distributed team with offices in New York, San Mateo, and Tel Aviv. At Pinecone you will work with world-class scientists and engineers who have 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: https://grnh.se/a6f4b3203us
Pinecone is pioneering a vector database for AI/ML applications. We provide customers with search and recommendation capabilities that until now have been in the hands of a few large tech giants. Our team includes founders of multiple startups, CS professors, and world-class engineers formerly from Amazon, Google & Facebook.
If you’re excited about hard problems at the intersection of AI/ML, search engines, and databases, if you like moving fast, and feel restless when a day goes by without attaining something impactful, it’s a opportunity to join an exciting startup as one of the first employees.
Apply here: https://grnh.se/a6f4b3203us
P.S. Visit https://www.pinecone.io/ to apply for early access to our upcoming launch.
HyperCube is pioneering a Deep Learning database. We provide customers with DL search, recommendation, and personalization capabilities that until now have been in the hands of a few large tech giants. Our team includes founders of multiple startups, CS professors, and world-class engineers formerly from Amazon, Google & Facebook.
If you’re excited about hard problems at the intersection of AI/ML, search engines, and databases, if you like moving fast, and feel restless when a day goes by without attaining something impactful, it’s an opportunity to join an exciting startup as one of the first employees.
Our current tech stack includes Python, C++, Kubernetes, AWS.
Apply here: https://www.hypercube.ai/openings/
HyperCube is pioneering a Deep Learning database. We provide customers with DL search, recommendation, and personalization capabilities that until now have been in the hands of a few large tech giants. Our team includes founders of multiple startups, CS professors, and world-class engineers formerly from Amazon, Google & Facebook.
If you’re excited about hard problems at the intersection of AI/ML, search engines, and databases, if you like moving fast, and feel restless when a day goes by without attaining something impactful, it’s a opportunity to join an exciting startup as one of the first employees.
Our current tech stack includes Python, C++, Kubernetes, AWS.
Apply here: https://www.hypercube.ai/openings/
HyperCube is pioneering a Deep Learning platform for information retrieval. We provide customers with DL search, recommendation, and personalization capabilities that until now have been in the hands of a few large tech giants. Our team includes founders of multiple startups, CS professors, and world-class engineers formerly from Amazon, Google & Facebook.
We’re looking for a distributed systems engineer who is an expert of database internals, and well-versed in information retrieval.
If you’re excited about hard problems at the intersection of AI/ML, search engines, and databases, if you like moving fast, and feel restless when a day goes by without attaining something impactful, it’s an opportunity to join an exciting startup as one of the early employees.
You should have:
* At least 4 years of experience as a Software Engineer
* Extensive experience in database internals and information retrieval
* Experience in building web-scale services and distributed systems
* Proficiency in at least one scripting language, such as Python
* Proficiency in at least one compiled language, such as C++
While not necessary, it would also help to have experience with either embeddings, nearest-neighbor search, productionizing ML models, or DL frameworks (such as TensorFlow, PyTorch).
Apply here: (NYC) https://grnh.se/7bf4a2f63us (SF Bay Area): https://grnh.se/8af359d63us (Tel Aviv): https://grnh.se/ef65badd3us
HyperCube is pioneering a Deep Learning platform for information retrieval. We provide customers with DL search, recommendation, and personalization capabilities that until now have been in the hands of a few large tech giants. Our team includes founders of multiple startups, CS professors, and world-class engineers formerly from Amazon, Google & Facebook.
We’re looking for a distributed systems engineer who is an expert of database internals, and well-versed in information retrieval.
If you’re excited about hard problems at the intersection of AI/ML, search engines, and databases, if you like moving fast, and feel restless when a day goes by without attaining something impactful, it’s an opportunity to join an exciting startup as one of the early employees.
You should have:
* At least 4 years of experience as a Software Engineer
* Extensive experience in database internals and information retrieval
* Experience in building web-scale services and distributed systems
* Proficiency in at least one scripting language, such as Python, Scala
* Proficiency in at least one compiled language, such as C++, Go, Java
While not necessary, it would also help to have experience with either embeddings, nearest-neighbor search, productionizing ML models, or DL frameworks (such as TensorFlow, PyTorch).
Apply here: (NYC) https://grnh.se/7bf4a2f63us (SF Bay Area): https://grnh.se/8af359d63us (Tel Aviv): https://grnh.se/ef65badd3us
HyperCube is pioneering a Deep Learning platform for information retrieval. We provide customers with DL search, recommendation, and personalization capabilities that until now have been in the hands of a few large tech giants. By pushing the boundaries of science and technology, HyperCube transforms data and models into a powerful serving engine that is delightful to use at any scale. If you’re excited about hard problems at the intersection of AI/ML, search engines, and databases, we would love to meet you. If you’re a builder of products and of teams, and feel restless when a day goes by without attaining something impactful, come join us. Our team includes founders of multiple startups, CS professors, and world-class scientists and engineers.
As a Software Engineer: Distributed Data Systems, you will lead, architect, build and maintain large scale distributed data systems; manage cloud based services; tackle challenging algorithmic problems in a fast-paced environment; experiment with and benchmark various solutions; present results at technical conferences; improve the team by introducing new tools and best practices; drive the standards around our code and architecture; and attract, excite and mentor best-in-class engineers.
Our current tech stack includes AWS, Kubernetes, Python, C++.
You should have:
* At least six years of experience as a Software Engineer
* Proficiency in at least one scripting language, such as Python, Scala
* Proficiency in at least one compiled language, such as C++, Go, Java
* Experience in building web-scale services and distributed systems
* Experience in information retrieval, such as Lucene, Elasticsearch, database internals, etc
Apply here: (NYC) https://grnh.se/7bf4a2f63us (SF Bay Area): https://grnh.se/8af359d63us (Tel Aviv): https://grnh.se/ef65badd3us
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
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
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.)
- 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: 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.)
- 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.
Email amir [ at ] hypercube.ai, subject line "Hacker News April 2020", to apply or learn more.
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.)
- Hardware acceleration (CPU, GPU, TPU, FPGA, 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.
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.)
- Hardware acceleration (CPU, GPU, TPU, FPGA, 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.
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".
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 find crowdsourced solutions for honest autodidacts very valuable.
I'm a software engineer with a background in cloud computing and financial trading looking for part-time projects in the field of data science and engineering. My current skillset is in R, Python, C/C++ in a Linux environment.
I'm a software engineer with a background in cloud computing and financial trading looking for part-time projects in the field of data science and engineering.
My current skillset is in R, Python, C/C++ in a Linux environment. My most recent accomplishment has been completing Stanford's Statistical Learning MOOC. I've curated and mostly wrote the unofficial community solutions guide: https://github.com/asadoughi/stat-learning