ksolanki's comments

Eyenuk, Inc. | Software Engineers | Los Angeles, CA | ONSITE | VISA | Full-time |

Join us in building software platform to apply deep learning and robotics to help prevent blindness across the world. Eyenuk is an exciting medical software startup that has developed a powerful retinal image analysis AI platform for screening of diseases such as diabetic retinopathy and age-related macular degeneration.

Anyone with diabetes is vulnerable to blindness that progresses without any pain or discomfort. Despite it's preventable nature, the condition, called diabetic retinopathy, is the leading cause of blindness in working age adults. Eyenuk has developed EyeArt, a SaaS offering, that automates the retinal disease screening process via automated analysis of retinal images and providing a screening referral outcome. EyeArt is a clinically validated on over 100,000 patients providing sensitivity that exceeds that of expert human graders. EyeArt has CE Marking (regulatory approval in Europe) and is under prospective clinical trials for an FDA approval.

You will join a passionate team at Eyenuk comprised of software and image analysis experts. We are hiring for multiple positions in the following two broad categories.

* Full-stack software engineers (Python, Frontend, UI)

* Algorithms engineer (image processing, computer vision, deep learning)

Would welcome anyone who wants to join our hands: have a young family? Great! Need a visa? We'll do everything legally possible to get you one.

jobs at eyenuk.com

I believe the self-service kiosks would be very much feasible. There are two key components: (1) automated non-mydriatic (not requiring dilation of the pupil) retinal imaging and (2) automated grading of images using AI.

The technology is there but there would be more work needed for a self-service kiosk to be FDA approved. Another thing that is not clear is whether it is commercially a good idea at this time, given that only a single disease (diabetic retinopathy) is approved. I can see a future where one can use such kiosks to look for multiple conditions and assess risks for various diseases including cardio-vascular disease, neurodegenerative diseases, stroke, and hypertension.

Thanks for this analysis. The balance in real world is more like 20-80, ie 20% of typically screened patients would have referable retinopathy (screen positive).

That's correct. UK is the only major (in some vague sense) Country where diabetic retinopathy is not the leading cause of preventable blindness in adults. This is very likely because they are able to screen more than 80% (nearing 85%) of their diabetic population, an impressive feat. This leads to another issue: they need to consistently grade the retinal images of over 2.2 million patients with diabetes. This is where AI could help -- in improving the consistency and turn-around time and we are working with the NHS UK to explore this.

This is not completely correct. Sensitivity (87% in this case) is not same as accuracy, nor is specificity (89.5% in this case) same as true negative rate.

Sensitivity generally gives an indication of safety of a medical device, and specificity gives a general indication of effectiveness.

As a founder of another company in this field, let me start by saying that this approval is a big deal. Kudos to IDx. This is the very first time FDA has approved a fully automated CADx (computer aided diagnosis) device. Eyenuk is also on it's way to an FDA approval and it is a lot of work conducting the prospective clinical trials.

There are some misconceptions on the thread, so let me help clear them up. A screening test is indicated on an annual basis for anyone with diabetes who does NOT have visual symptoms. Diabetic retinopathy (DR) progresses without any symptoms and is preventable if detected early, but despite its preventable nature, DR is the leading cause of blindness in working-age adults even in the developed world.

The test is for screening rather than providing a full diagnosis and is not intended to replace a dilated ophthalmologist examination. You don't need a specialist to screen, but you need a specialist to diagnose and treat. Sensitivity implies the percentage of times the test is able to correctly identify the presence of more than mild diabetic retinopathy (in this case, 87.4 percent of the time) and specificity is the percentage of times the test was able to correctly identify those patients who did not have more than mild diabetic retinopathy (in this case, 89.5 percent of the time). Note that neither sensitivity nor specificity implies accuracy. The sensitivity and specificity generally compare well to that achieved by humans.

Welcome to apply! Send an email to jobs at eyenuk dot com

Eyenuk, Inc. | Software Engineers | Los Angeles, CA | ONSITE | VISA | Full-time |

Join us in building software platform to apply deep learning and robotics to help prevent blindness across the world. Eyenuk is an exciting medical software startup that has developed a powerful retinal image analysis AI platform for screening of diseases such as diabetic retinopathy and agre-related macular degeneration.

Anyone with diabetes is vulnerable to blindness that progresses without any pain or discomfort. Despite it's preventable nature, the condition, called diabetic retinopathy, is the leading cause of blindness in working age adults. Eyenuk has developed EyeArt, a SaaS offering, that automates the retinal disease screening process via automated analysis of retinal images and providing a screening referral outcome. EyeArt is a clinically validated on over 100,000 patients providing sensitivity that exceeds that of expert human graders. EyeArt has CE Marking (regulatory approval in Europe) and is under prospective clinical trials for an FDA approval.

You will join a passionate team at Eyenuk comprised of software and image analysis experts. We are hiring for multiple positions in the following two broad categories.

* Full-stack software engineers (Python, Frontend, UI)

* Algorithms engineer (image processing, computer vision, deep learning)

Would welcome anyone who wants to join our hands: have a young family? Great! Need a visa? We'll do everything legally possible to get you one.

jobs at eyenuk.com

Eyenuk, Inc. | Software Engineers | Los Angeles, CA | ONSITE | VISA | Full-time |

Join us in building software platform to apply deep learning and robotics to help prevent blindness across the world. Eyenuk is an exciting medical software startup that has developed a powerful retinal image analysis AI platform for screening of diseases such as diabetic retinopathy and agre-related macular degeneration.

Anyone with diabetes is vulnerable to blindness that progresses without any pain or discomfort. Despite it's preventable nature, the condition, called diabetic retinopathy, is the leading cause of blindness in working age adults. Eyenuk has developed EyeArt, a SaaS offering, that automates the retinal disease screening process via automated analysis of retinal images and providing a screening referral outcome. EyeArt is a clinically validated on over 100,000 patients providing sensitivity that exceeds that of expert human graders. EyeArt has CE Marking (regulatory approval in Europe) and is under prospective clinical trials for an FDA approval.

You will join a passionate team at Eyenuk comprised of software and image analysis experts. We are hiring for multiple positions in the following two broad categories.

* Full-stack software engineers (Python, Frontend, UI)

* Algorithms engineer (image processing, computer vision, deep learning)

Would welcome anyone who wants to join our hands: have a young family? Great! Need a visa? We'll do everything legally possible to get you one.

jobs at eyenuk.com

Eyenuk, Inc. | Software Engineers | Los Angeles, CA | ONSITE | VISA | Full-time |

Join us in building software platform to apply deep learning and robotics to help prevent blindness across the world. Eyenuk is an exciting medical software startup that has developed a powerful retinal image analysis AI platform for screening of diseases such as diabetic retinopathy and agre-related macular degeneration.

Anyone with diabetes is vulnerable to blindness that progresses without any pain or discomfort. Despite it's preventable nature, the condition, called diabetic retinopathy, is the leading cause of blindness in working age adults. Eyenuk has developed EyeArt, a SaaS offering, that automates the retinal disease screening process via automated analysis of retinal images and providing a screening referral outcome. EyeArt is a clinically validated on over 100,000 patients providing sensitivity that exceeds that of expert human graders. EyeArt has CE Marking (regulatory approval in Europe) and is under prospective clinical trials for an FDA approval.

You will join a passionate team at Eyenuk comprised of software and image analysis experts. We are hiring for multiple positions in the following two broad categories.

* Full-stack software engineers (Python, Frontend, UI)

* Algorithms engineer (image processing, computer vision, deep learning)

Would welcome anyone who wants to join our hands: have a young family? Great! Need a visa? We'll do everything legally possible to get you one.

jobs at eyenuk.com

Eyenuk, Inc | Senior Software Engineer and Research Engineer | Woodland Hills, CA | Fulltime | Onsite | http://www.eyenuk.com

At Eyenuk we are developing the next generation of retinal diagnostic solutions that leverage state of the art computer vision using deep learning with novel low-level morphological image analysis algorithms. Software/algorithms we develop makes critical clinical recommendations, and the healthcare professionals rely on the code we write to make these life-altering decisions.

We are hiring for:

1) Algorithms research engineer: The algorithms research engineer will conduct applied research in computer vision and deep neural networks, developing and implementing high-throughput image analysis algorithms, working closely with clinicians and expert doctors.

2) Senior software engineer: The senior software engineer will architect, design, develop, maintain, and deploy software that implements high-throughput (think hundreds of thousands of images an hour) image-based diagnostics. Desktop, web, and mobile.

Our stack: python/flask, Angular, Qt, and C++.

Interview process: Intro over skype -> Phone screen -> Onsite interview -> Offer.

Send email to [email protected] to apply (US-based candidates; H1b or OPT ok).

Indeed, I second that the time is now. There are several imaging modalities/organs that provide diagnostic information about a variety of human functions or diseases. For example, retina is a unique organ that is amenable to imaging of central nervous system, cardio-vascular system, and microvasculature without any incision. This allows us to detect, screen, monitor, and predict risk for diseases such as diabetic retinopathy, macular degeneration, glaucoma, and even cardio-vascular risk, Alzheimer's, and stroke.

If this interests you and you have developed the expertise, there is another startup opportunity to explore -- please email me at [email protected]. We are bunch of machine learning PhDs, developing/publishing and commercializing deep learning algorithms for disease/risk identification from retinal photography. We play with millions of retinal images, and it's a lot of fun!

Eyenuk, Inc. | Research/software engineers| Los Angeles, CA, USA, ONSITE | Full-time | http://www.eyenuk.com

Did you know that retina (eye) is the only organ in human body where the cardiovascular system, the central nervous system, the microvasculature, all can be imaged without any incision (in vivo)? Abnormalities in retinal images can potentially provide useful information about clinical and sub-clinical cerebrovascular, cardiovascular, and metabolic health of a person.

At Eyenuk we are developing the next generation of retinal diagnostic solutions that leverage state of the art computer vision using deep learning with novel low-level morphological image analysis algorithms. Software/algorithms we develop makes critical clinical recommendations, and the healthcare professionals rely on the code we write to make these life-altering decisions. We are hiring for:

1) Algorithms research engineer: The algorithms research engineer will conduct applied research in computer vision and deep neural networks, developing and implementing high-throughput image analysis algorithms, working closely with clinicians and expert doctors.

2) Software engineer (Full Stack): The full-stack engineer will architect, design, develop, maintain, and deploy software that implements high-throughput (think hundreds of thousands of images an hour) image-based diagnostics. Both web and mobile.

Our stack: python/flask, javascript, Swift, and C++.

While we offer usual benefits (health, vision, etc.), a couple things to mention.

* Guys/gals with young families will find our work environment very supportive (many of us have kids too)!

* We work very very hard (and smart) to get things done, however, in 2016 we hardly worked a weekend (and still met the deadlines).

Send email to [email protected] to apply (US-based candidates H1b or OPT ok).

Eyenuk, Inc. | Los Angeles, CA | Onsite | Full-Time | Visa (full time) | Software Engineer www.eyenuk.com

Eyenuk is an exciting medical software startup that has developed a powerful retinal image analysis platform for screening of diseases such as diabetic retinopathy and agre-related macular degeneration.

Anyone with diabetes is vulnerable to blindness that progresses without any pain or discomfort. Despite it's preventable nature, the condition, called diabetic retinopathy, is the leading cause of blindness in working age adults. Eyenuk has developed EyeArt, a SaaS offering, that automates the retinal disease screening process via automated analysis of retinal images and providing a screening referral outcome. EyeArt is a clinically validated on over 33K patients providing sensitivity that exceeds that of expert human graders. EyeArt has CE Marking (regulatory approval in Europe) and is on its way to FDA clearance.

You will join a passionate team at Eyenuk comprised of software and image analysis experts. We are hiring for multiple positions in the following two broad categories.

* Full-stack software engineers (Python, Frontend, UI)

* Algorithms engineer (low-level image processing, deep learning)

Would welcome anyone who wants to join our hands: have a young family? Great! Need a visa? We'll do everything legally possible to get you one.

job at eyenuk.com

The real "best interview technique" is not so much black-and-white structures-vs-unstructured. It depends a lot on the type of job you are interviewing for. Structured interviews work really really well for engineering jobs, particularly software engineering. However for marketing, sales, finance, assistant, etc. jobs, the unstructured interview questions work quite well. These are the jobs for which "Tell me the time when..." actually works.

Pretty sure Gandhi said that (I have read his biography 3 times!), but should point out that this is nothing much to do with Hinduism.

This doesn't seem very productive. As Gandhi once said, "Hate the sin not the sinner". This is not even punishing the sinner, who are not your everyday public workers but likely some lobbying corp.

Your point actually makes H1B worse than "indentured servitude" of the past. Many (if not most) H1B folks stick around at one company just waiting for a green card. This kind-of means it is involuntary in some sense. However, unlike indentured servitude, there the "young person" does not automatically get a green card and is not "free to leave" at the end by default. By default, at the end, he/she has to leave the US.

This and the Rap Genius stories go on to show why algorithmic search (aka Google search) is not going to last another ten years. It probably already does, but more and more Google algorithms will include lots of ifs and buts.

There is definitely some room for fresh approaches to content discovery, knowledge indexing, and finding answers. New startup(s) or Google rediscovering itself?

Calling all data scientists -- why not consider working on medical and/or biological data instead?

There is not necessarily less money in these fields, but a much much greater potential impact!