a_ellis
Intellimize optimizes websites to generate more revenue. We use machine learning to automatically optimize each buyer’s path to drive more web conversions.
Our unique solution enables experimentation and personalization at an unparalleled scale, and it replaces traditional approaches to optimization such as A/B testing and rules-based personalization. These methods are too slow, require daily attention, and don’t automatically adapt to changes in behavior over time.
Open roles I'm hiring for:
* Back end / ML engineer, all levels (https://www.intellimize.com/careers/jobs/?gh_jid=4033757004 and https://www.intellimize.com/careers/jobs/?gh_jid=4002964004)
* Site reliability engineer (https://www.intellimize.com/careers/jobs/?gh_jid=4088778004)
* Tech lead manager (https://www.intellimize.com/careers/jobs/?gh_jid=4092581004)
For the back end role, the exact ML / non-ML blend is flexible, and we'd be happy to have a great back-end engineer join us without any ML background. The SRE role is our first SRE (and we're hiring more than one); it's a great opportunity to help shape how we think about SREing.
Primary technologies: Java, Python, Tensorflow, Spark, Airflow, AWS.
Our team is positive, low ego, and customer focused. Strong communication skills are a must.
We plan to re-open our San Mateo office soon, and the company will continue to embrace remote work (it's going great for us!). Our engineering team is is remote-first.
Please apply using one of the links above and mention this post. (If you're not sure which is right right fit for you, just apply to one; I review all applications, and we can discuss which is the best fit for you.) You can reach me directly at alex@ if you have any questions. I'm the hiring manager for these positions.
PS We recently raised a $30M Series B: https://venturebeat.com/2021/07/08/intellimize-raises-30m-to...
usually, "higher dimensional knot" refers to embeddings of n-dim spheres into (n+2)-dimensional spheres (or R^(n+2)). (if the distinction between R^(n+2) and (n+2)-spheres scares you, don't worry about it! it's just one point!)
usual knot theory: n = 1, m = 3 OP's proof relates to: n = 1, m = 4
when m - n (the "codimension") is >2, as in the the case from OP's post, there is "so much room" that unknotting can always happen. and at codimension 1, there "isn't enough room". so the interesting theory is codim-2.
in fact, there is a well studied theory. here's a book on the subject (disclaimer: I haven't read it): https://www.maths.ed.ac.uk/~v1ranick/books/knot.pdf
Intellimize optimizes websites to generate more revenue. We use machine learning to automatically optimize each buyer’s path to drive more web conversions.
Our unique solution enables experimentation and personalization at an unparalleled scale, and it replaces traditional approaches to optimization such as A/B testing and rules-based personalization. These methods are too slow, require daily attention, and don’t automatically adapt to changes in behavior over time.
Open roles I'm hiring for:
* Back end / ML engineer, all levels (https://www.intellimize.com/careers/jobs/?gh_jid=4033757004 and https://www.intellimize.com/careers/jobs/?gh_jid=4002964004)
* Site reliability engineer (https://www.intellimize.com/careers/jobs/?gh_jid=4088778004)
* Tech lead manager (https://www.intellimize.com/careers/jobs/?gh_jid=4092581004)
For the back end role, the exact ML / non-ML blend is flexible, and we'd be happy to have a great back-end engineer join us without any ML background. The SRE role is our first SRE (and we're hiring more than one); it's a great opportunity to help shape how we think about SREing.
Primary technologies: Java, Python, Tensorflow, Spark, Airflow, AWS.
Our team is positive, low ego, and customer focused. Strong communication skills are a must.
We plan to re-open our San Mateo office soon, and the company will continue to embrace remote work (it's going great for us!). Our engineering team is is remote-first.
Please apply using one of the links above and mention this post. (If you're not sure which is right right fit for you, just apply to one; I review all applications, and we can discuss which is the best fit for you.) You can reach me directly at alex@ if you have any questions. I'm the hiring manager for these positions.
PS We recently raised a $30M Series B: https://venturebeat.com/2021/07/08/intellimize-raises-30m-to...
Intellimize optimizes websites to generate more revenue. We use machine learning to automatically optimize each buyer’s path to drive more web conversions.
Our unique solution enables experimentation and personalization at an unparalleled scale, and it replaces traditional approaches to optimization such as A/B testing and rules-based personalization. These methods are too slow, require daily attention, and don’t automatically adapt to changes in behavior over time.
This role: all levels, back-end and ML engineering. The exact ML / non-ML blend is flexible, and we'd be happy to have a great back-end engineer join us without any ML background.
Primary technologies: Java, Python, Tensorflow, Spark, Airflow, AWS.
Our team is positive, low ego, and customer focused. Strong communication skills are a must.
We plan to re-open our San Mateo office soon, and the company will continue to embrace remote work (it's going great for us!). Our engineering team is is remote-first, this particular team 100% remote.
You can apply via email to careers@, or to alex@ if you want to contact me directly. I'm the hiring manager for this position.
PS We just raised a $30M Series B: https://venturebeat.com/2021/07/08/intellimize-raises-30m-to...
Intellimize optimizes websites to generate more revenue. We use machine learning to automatically optimize each buyer’s path to drive more web conversions.
Our unique solution enables experimentation and personalization at an unparalleled scale, and it replaces traditional approaches to optimization such as A/B testing and rules-based personalization. These methods are too slow, require daily attention, and don’t automatically adapt to changes in behavior over time.
This role: experienced levels (mid, senior, ...),back-end and ML engineering. The exact ML / non-ML blend is flexible, and we'd be happy to have a great back-end engineer join us without any ML background.
Primary technologies: Java, Python, Tensorflow, Spark, Airflow, AWS.
Our team is positive, low ego, and customer focused. Strong communication skills are a must.
We plan to re-open our San Mateo office once it is safe to do so, and the company will continue to embrace remote work (it's going great for us!). Our engineering team is is remote-first, this particular team 100% remote.
You can apply via email to careers@, or to alex@ if you want to contact me directly. I'm the hiring manager for this position.
Intellimize optimizes websites to generate more revenue. We use machine learning to automatically optimize each buyer’s path to drive more web conversions.
Our unique solution enables experimentation and personalization at an unparalleled scale, and it replaces traditional approaches to optimization such as A/B testing and rules-based personalization. These methods are too slow, require daily attention, and don’t automatically adapt to changes in behavior over time.
This role: senior level, back-end and some ML engineering. The exact blend is flexible, and we'd be happy to have a great back-end engineer join us even without any ML background.
Primary technologies: Java, Python, Tensorflow, Spark, Airflow, AWS.
Our team is positive, low ego, and customer focused. Strong communication skills are a must.
We plan to re-open our San Mateo office once it is safe to do so, and the company will continue to embrace remote work (it's going great for us!). This team in particular is remote-first.
You can apply via email to careers@, or to alex@ if you want to contact me directly. I'm the hiring manager for this position.
Intellimize optimizes websites to generate more revenue. We use machine learning to automatically optimize each buyer’s path to drive more web conversions.
Our unique solution enables experimentation and personalization at an unparalleled scale, and it replaces traditional approaches to optimization such as A/B testing and rules-based personalization. These methods are too slow, require daily attention, and don’t automatically adapt to changes in behavior over time.
This role: senior level, back-end and some ML engineering. The exact blend is flexible, and we'd be happy to have a great back-end engineer join us even without any ML background.
Primary technologies: Java, Python, Tensorflow, Spark, Airflow, AWS.
Our team is positive, low ego, and customer focused. Strong communication skills are a must.
We plan to re-open our San Mateo office once it is safe to do so, and the company will continue embrace remote work (it's going great for us!). This team in particular is remote-first.
You can apply via email to careers@, or to alex@ if you want to contact me directly. I'm the hiring manager for this position, and we are hiring several more people for this role.
Intellimize optimizes websites to generate more revenue. We use machine learning to automatically optimize each buyer’s path to drive more web conversions.
Our unique solution enables experimentation and personalization at an unparalleled scale, and it replaces traditional approaches to optimization such as A/B testing and rules-based personalization. These methods are too slow, require daily attention, and don’t automatically adapt to changes in behavior over time.
This role: senior level, back-end and some ML engineering. The exact blend is flexible, and we'd be happy to have a great back-end engineer join us even without any ML background.
Primary technologies: Java, Python, Tensorflow, Spark, Airflow, AWS.
Our team is positive, low ego, and customer focused. Strong communication skills are a must.
We plan to re-open our San Mateo office once it is safe to do so, and the company will continue embrace remote work (it's going great for us!). This team in particular is remote-first.
You can apply via email to careers@, or to alex@ if you want to contact me directly. I'm the hiring manager for this position.
Intellimize optimizes websites to generate more revenue. We use machine learning to automatically optimize each buyer’s path to drive more web conversions.
Our unique solution enables experimentation and personalization at an unparalleled scale, and it replaces traditional approaches to optimization such as A/B testing and rules-based personalization. These methods are too slow, require daily attention, and don’t automatically adapt to changes in behavior over time.
This role: senior level, back-end and some ML engineering. The exact blend is flexible, and we'd be happy to have a great back-end engineer join us even without any ML background.
Primary technologies: Java, Python, Tensorflow, Spark, Airflow, AWS.
Our team is positive, low ego, and customer focused. Strong communication skills are a must.
We plan to re-open our San Mateo office once it is safe to do so, and the company will continue embrace remote work (it's going great for us!). This team in particular is remote-first.
You can apply via email to careers@, or to alex@ if you want to contact me directly. I'm the hiring manager for this position.
Intellimize optimizes websites to generate more revenue. We use machine learning to automatically optimize each buyer’s path to drive more web conversions.
Our unique solution enables experimentation and personalization at an unparalleled scale, and it replaces traditional approaches to optimization such as A/B testing and rules-based personalization. These methods are too slow, require daily attention, and don’t automatically adapt to changes in behavior over time.
This role: senior level, back-end and some ML engineering. The exact blend is flexible, and we'd be happy to have a great back-end engineer join us even without any ML background.
Primary technologies: Java, Python, Tensorflow, Spark, Airflow, AWS.
Our team is positive, low ego, and customer focused. Strong communication skills are a must.
We plan to re-open our San Mateo office once it is safe to do so, and the company will continue embrace remote work (it's going great for us!). This team in particular is remote-first.
You can apply via email to careers@, or to alex@ if you want to contact me directly. I'm the hiring manager for this position.
Intellimize optimizes websites to generate more revenue. We use machine learning to automatically optimize each buyer’s path to drive more web conversions.
Our unique solution enables experimentation and personalization at an unparalleled scale, and it replaces traditional approaches to optimization such as A/B testing and rules-based personalization. These methods are too slow, require daily attention, and don’t automatically adapt to changes in behavior over time.
This role: senior level, back-end and some ML engineering. The exact blend is flexible, and we'd be happy to have a great back-end engineer join us even without any ML background.
Primary technologies: Java, Python, Tensorflow, Spark, Airflow, AWS.
Our team is positive, low ego, and customer focused. Strong communication skills are a must.
We plan to re-open our San Mateo office once it is safe to do so, and the company will continue embrace remote work (it's going great for us!). This team in particular is remote-first.
You can apply via email to careers@, or to alex@ if you want to contact me directly. I'm the hiring manager for this position.
Intellimize optimizes websites to generate more revenue. We use machine learning to automatically optimize each buyer’s path to drive more web conversions.
Our unique solution enables experimentation and personalization at an unparalleled scale, and it replaces traditional approaches to optimization such as A/B testing and rules-based personalization. These methods are too slow, require daily attention, and don’t automatically adapt to changes in behavior over time.
This role: senior level, back-end and some ML engineering. The exact blend is flexible, and we'd be happy to have a great back-end engineer join us even without any ML background.
Primary technologies: Java, Python, Tensorflow, Spark, Airflow, AWS.
Our team is positive, low ego, and customer focused. Strong communication skills are a must.
We plan to re-open our San Mateo office once it is safe to do so, and the company will continue embrace remote work (it's going great for us!). This team in particular is remote-first.
You can apply via email to careers@, or to alex@ if you want to contact me directly. I'm the hiring manager for this position.
Intellimize optimizes websites to generate more revenue. We use machine learning to automatically optimize each buyer’s path to drive more web conversions.
Our unique solution enables experimentation and personalization at an unparalleled scale, and it replaces traditional approaches to optimization such as A/B testing and rules-based personalization. These methods are too slow, require daily attention, and don’t automatically adapt to changes in behavior over time.
This role: senior level, back-end and some ML engineering. The exact blend is flexible, and we'd be happy to have a great back-end engineer join us even without any ML background.
Primary technologies: Java, Python, Tensorflow, Spark, Airflow, AWS.
Our team is positive, low ego, and customer focused. Strong communication skills are a must.
We plan to re-open our San Mateo office once it is safe to do so, and the company will continue embrace remote work (it's going great for us!). This team in particular is remote-first.
You can apply via email to careers@, or to alex@ if you want to contact me directly. I'm the hiring manager for this position.
Intellimize optimizes websites to generate more revenue. We use machine learning to automatically optimize each buyer’s path to drive more web conversions.
Our unique solution enables experimentation and personalization at an unparalleled scale, and it replaces traditional approaches to optimization such as A/B testing and rules-based personalization. These methods are too slow, require daily attention, and don’t automatically adapt to changes in behavior over time.
This role: senior level, back-end and some ML engineering. The exact blend is flexible, and we'd be happy to have a great back-end engineer join us even without any ML background.
Primary technologies: Java, Python, Tensorflow, Spark, Airflow, AWS.
Our team is positive, low ego, and customer focused. Strong communication skills are a must.
We plan to re-open our San Mateo office once it is safe to do so, and the company will continue embrace remote work (it's going great for us!). This team in particular is remote-first.
You can apply via email to careers@, or to alex@ if you want to contact me directly. I'm the hiring manager for this position.
Quora’s mission is to share and grow the world’s knowledge. We are a web-scale Library of Alexandria, a place where people go to learn about anything and share everything they know.
At Quora, we use Machine Learning in almost every part of the product - feed ranking, answer ranking, search, topic and user recommendations, spam detection, etc. Within the past year we released a large question sincerity dataset [1], improved our statistical tests for ratio metrics [2], and introduced a new feature that allows people to curate collections and form communities around shared interests and tastes [3].
As a Machine Learning expert, you will have a unique opportunity to have high impact by advancing these systems, as well as uncovering new opportunities to apply Machine Learning to the Quora product. As a ML Infrastructure Expert, you will play a key role in developing tools and abstractions that our other developers would build on top of.
ML engineer: https://jobs.lever.co/quora/4ea5b0e2-b570-439f-a3a1-1f301042...
ML infrastructure engineer: https://jobs.lever.co/quora/5ae871e6-12a7-40d2-829a-64041e24...
ML eng manager: https://jobs.lever.co/quora/447265db-74b3-4970-bb46-11083af8...
ML infrastructure eng manager: https://jobs.lever.co/quora/6be9efa2-49db-4fe1-bf42-fe45e5ae...
You can apply online at one of the links above and mention my HN user name. Or email my HN username, with the underscore removed, at quora.com.
[1] https://engineering.quora.com/Dataset-release-and-Kaggle-com...
[2] https://data.quora.com/A-Robust-Statistical-Test-for-Ratio-M...
Quora’s mission is to share and grow the world’s knowledge. We are a web-scale Library of Alexandria, a place where people go to learn about anything and share everything they know.
At Quora, we use Machine Learning in almost every part of the product - feed ranking, answer ranking, search, topic and user recommendations, spam detection, etc. Within the past year we released a large question sincerity dataset [1], improved our statistical tests for ratio metrics [2], and introduced a new feature that allows people to curate collections and form communities around shared interests and tastes [3].
As a Machine Learning expert, you will have a unique opportunity to have high impact by advancing these systems, as well as uncovering new opportunities to apply Machine Learning to the Quora product. As a ML Infrastructure Expert, you will play a key role in developing tools and abstractions that our other developers would build on top of.
ML engineer: https://jobs.lever.co/quora/4ea5b0e2-b570-439f-a3a1-1f301042...
ML infrastructure engineer: https://jobs.lever.co/quora/5ae871e6-12a7-40d2-829a-64041e24...
ML eng manager: https://jobs.lever.co/quora/447265db-74b3-4970-bb46-11083af8...
ML infrastructure eng manager: https://jobs.lever.co/quora/6be9efa2-49db-4fe1-bf42-fe45e5ae...
You can apply online at one of the links above and mention my HN user name. Or email my HN username, with the underscore removed, at quora.com.
[1] https://engineering.quora.com/Dataset-release-and-Kaggle-com...
[2] https://data.quora.com/A-Robust-Statistical-Test-for-Ratio-M...
Quora’s mission is to share and grow the world’s knowledge. We are a web-scale Library of Alexandria, a place where people go to learn about anything and share everything they know.
At Quora, we use Machine Learning in almost every part of the product - feed ranking, answer ranking, search, topic and user recommendations, spam detection, etc. Within the past year we released a large question sincerity dataset [1], improved our statistical tests for ratio metrics [2], and introduced a new feature that allows people to curate collections and form communities around shared interests and tastes [3].
As a Machine Learning expert, you will have a unique opportunity to have high impact by advancing these systems, as well as uncovering new opportunities to apply Machine Learning to the Quora product. As a ML Infrastructure Expert, you will play a key role in developing tools and abstractions that our other developers would build on top of.
ML engineer: https://jobs.lever.co/quora/4ea5b0e2-b570-439f-a3a1-1f301042...
ML infrastructure engineer: https://jobs.lever.co/quora/5ae871e6-12a7-40d2-829a-64041e24...
ML eng manager: https://jobs.lever.co/quora/447265db-74b3-4970-bb46-11083af8...
ML infrastructure eng manager: https://jobs.lever.co/quora/6be9efa2-49db-4fe1-bf42-fe45e5ae...
You can apply online at one of the links above and mention my HN user name. Or email my HN username, with the underscore removed, at quora.com.
[1] https://engineering.quora.com/Dataset-release-and-Kaggle-com...
[2] https://data.quora.com/A-Robust-Statistical-Test-for-Ratio-M...
Quora’s mission is to share and grow the world’s knowledge. We are a web-scale Library of Alexandria, a place where people go to learn about anything and share everything they know.
At Quora, we use Machine Learning in almost every part of the product - feed ranking, answer ranking, search, topic and user recommendations, spam detection, etc. Within the past few months we released a large question sincerity dataset [1], improved our statistical tests for ratio metrics [2], and introduced a new feature that allows people to curate collections and form communities around shared interests and tastes [3].
As a Machine Learning expert, you will have a unique opportunity to have high impact by advancing these systems, as well as uncovering new opportunities to apply Machine Learning to the Quora product. As a ML Infrastructure Expert, you will play a key role in developing tools and abstractions that our other developers would build on top of.
ML engineer: https://jobs.lever.co/quora/4ea5b0e2-b570-439f-a3a1-1f301042...
ML infrastructure engineer: https://jobs.lever.co/quora/5ae871e6-12a7-40d2-829a-64041e24...
ML eng manager: https://jobs.lever.co/quora/447265db-74b3-4970-bb46-11083af8...
ML infrastructure eng manager: https://jobs.lever.co/quora/6be9efa2-49db-4fe1-bf42-fe45e5ae...
You can apply online at one of the links above and mention my HN user name. Or email my HN username, with the underscore removed, at quora.com.
[1] https://engineering.quora.com/Dataset-release-and-Kaggle-com...
[2] https://data.quora.com/A-Robust-Statistical-Test-for-Ratio-M...
Quora’s mission is to share and grow the world’s knowledge. We are a web-scale Library of Alexandria, a place where people go to learn about anything and share everything they know.
At Quora, we use Machine Learning in almost every part of the product - feed ranking, answer ranking, search, topic and user recommendations, spam detection, etc. Within the past few months we released a large question sincerity dataset [1], improved our statistical tests for ratio metrics [2], and introduced a new feature that allows people to curate collections and form communities around shared interests and tastes [3].
As a Machine Learning expert, you will have a unique opportunity to have high impact by advancing these systems, as well as uncovering new opportunities to apply Machine Learning to the Quora product. As a ML Infrastructure Expert, you will play a key role in developing tools and abstractions that our other developers would build on top of.
ML engineer: https://jobs.lever.co/quora/4ea5b0e2-b570-439f-a3a1-1f301042...
ML infrastructure engineer: https://jobs.lever.co/quora/5ae871e6-12a7-40d2-829a-64041e24...
ML eng manager: https://jobs.lever.co/quora/447265db-74b3-4970-bb46-11083af8...
ML infrastructure eng manager: https://jobs.lever.co/quora/6be9efa2-49db-4fe1-bf42-fe45e5ae...
You can apply online at one of the links above and mention my HN user name. Or email my HN username, with the underscore removed, at quora.com.
[1] https://engineering.quora.com/Dataset-release-and-Kaggle-com...
[2] https://data.quora.com/A-Robust-Statistical-Test-for-Ratio-M...
Quora’s mission is to share and grow the world’s knowledge. We are a web-scale Library of Alexandria, a place where people go to learn about anything and share everything they know.
At Quora, we use Machine Learning in almost every part of the product - feed ranking, answer ranking, search, topic and user recommendations, spam detection, etc. Within the past few months we released a large question sincerity dataset [1], improved our statistical tests for ratio metrics [2], and introduced a new feature that allows people to curate collections and form communities around shared interests and tastes [3].
As a Machine Learning expert, you will have a unique opportunity to have high impact by advancing these systems, as well as uncovering new opportunities to apply Machine Learning to the Quora product. As a ML Infrastructure Expert, you will play a key role in developing tools and abstractions that our other developers would build on top of.
ML engineer: https://jobs.lever.co/quora/4ea5b0e2-b570-439f-a3a1-1f301042...
ML infrastructure engineer: https://jobs.lever.co/quora/5ae871e6-12a7-40d2-829a-64041e24...
ML eng manager: https://jobs.lever.co/quora/447265db-74b3-4970-bb46-11083af8...
ML infrastructure eng manager: https://jobs.lever.co/quora/6be9efa2-49db-4fe1-bf42-fe45e5ae...
You can apply online at one of the links above and mention my HN user name. Or email my HN username, with the underscore removed, at quora.com.
[1] https://engineering.quora.com/Dataset-release-and-Kaggle-com...
[2] https://data.quora.com/A-Robust-Statistical-Test-for-Ratio-M...
Quora’s mission is to share and grow the world’s knowledge. We are a web-scale Library of Alexandria, a place where people go to learn about anything and share everything they know.
At Quora, we use Machine Learning in almost every part of the product - feed ranking, answer ranking, search, topic and user recommendations, spam detection, etc. Within the past few months we released a large question sincerity dataset [1], improved our statistical tests for ratio metrics [2], and introduced a new feature that allows people to curate collections and form communities around shared interests and tastes [3].
As a Machine Learning expert, you will have a unique opportunity to have high impact by advancing these systems, as well as uncovering new opportunities to apply Machine Learning to the Quora product. As a ML Infrastructure Expert, you will play a key role in developing tools and abstractions that our other developers would build on top of.
ML engineer: https://jobs.lever.co/quora/4ea5b0e2-b570-439f-a3a1-1f301042...
ML infrastructure engineer: https://jobs.lever.co/quora/5ae871e6-12a7-40d2-829a-64041e24...
ML eng manager: https://jobs.lever.co/quora/447265db-74b3-4970-bb46-11083af8...
ML infrastructure eng manager: https://jobs.lever.co/quora/6be9efa2-49db-4fe1-bf42-fe45e5ae...
You can apply online at one of the links above and mention my HN user name. Or email my HN username, with the underscore removed, at quora.com.
[1] https://engineering.quora.com/Dataset-release-and-Kaggle-com...
[2] https://data.quora.com/A-Robust-Statistical-Test-for-Ratio-M...