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Calipsa | Full-time | Remote (be able to work in CET time zone) | Engineering Manager

Calipsa's mission is to make the world a safer place by helping to detect and prevent crime. Calipsa’s AI platform analyses CCTV video in real-time to assess risk, filter out false alarms and automatically notify alarm monitoring services. Our current focus is on detecting burglary and theft and we monitor sites across construction, logistics, industrial, agricultural, retail and residential sectors in 7 different countries.

Role & Responsibilities

  - Responsible for the delivery of the product
  - Improve the application team’s technical capabilities by establishing best practices, mentoring team members and recruiting new employees
  - Lead discussion on technology and architecture with the development team
Key Requirements
  - Minimum 3-4 years experience working within engineering teams with team lead/management experience; ideally within fast growing and category-leading companies
  - Great knowledge in those different technologies node.js / single page application frameworks (vue js/react) / AWS / Kubernetes
  - Understanding of and experience with large, multi-faceted and complex systems.
  - Experience working in small teams with a great deal of autonomy
  - Excellent communication and collaboration skills
Send resume and links to rashid[dot]khan[at]calipsa[dot]io

Calipsa is building a Deep Learning platform for video monitoring and analysis.

We are a small team of 10 (9 different nationalities!) and comprised of academics from Cambridge, Imperial and UCL.

We are looking for JS engineers with the "get it done" mindset to add to our growing team.

Culture

  Fast paced - we like people who take ownership and have the get-it-done mindset 
  No bureaucracy - you pick your working hours, unlimited holidays, etc.
  Innovative - always challenge the status quo
  Collaboration and knowledge sharing - code reviews / regular talks
  Fun! We have regular team lunches/dinners/activities and always good lunchtime chat
Technologies
  Programming languages: Javascript, Python
  ML platform: Tensorflow
  Cloud platforms: AWS, GCP
  Containers: Docker, Kubernetes
  Version control: git
Please send resume / github to rashid.khan@calipsa.io for details.

Calipsa | Full stack | London | Onsite | VISA

Calipsa is building a Deep Learning platform for video monitoring and analysis.

We are a small team of 10 (9 different nationalities!) and comprised of academics from Cambridge, Imperial and UCL.

We are looking for JS engineers with the "get it done" mindset to add to our growing team.

Culture

  Fast paced - we like people who take ownership and have the get-it-done mindset 
  No bureaucracy - you pick your working hours, unlimited holidays, etc.
  Innovative - always challenge the status quo
  Collaboration and knowledge sharing - code reviews / regular talks
  Fun! We have regular team lunches/dinners/activities and always good lunchtime chat
Technologies
  Programming languages: Javascript, Python
  ML platform: Tensorflow
  Cloud platforms: AWS, GCP
  Containers: Docker, Kubernetes
  Version control: git
Please send resume / github to rashid.khan@calipsa.io for details.

Calipsa | Devops | London,UK | Onsite | VISA

Calipsa is building a Deep Learning platform for video monitoring and analysis.

We are a small team of 8 (7 different nationalities!) and comprised of academics from Cambridge, Imperial and UCL.

Culture

  Fast paced - we like people who take ownership and have the get-it-done mindset 
  No bureaucracy - you pick your working hours, unlimited holidays, etc.
  Innovative - always challenge the status quo
  Collaboration and knowledge sharing - code reviews / regular talks
  Fun! We have regular team lunches/dinners/activities and always good lunchtime chat
Technologies
  Programming languages: Python, JS
  ML platform: Tensorflow
  Cloud platforms: AWS, GCP
  Containers: Docker, Kubernetes
  Version control: git
Main Responsibilities
  Ensure reliability of Calipsa infrastructure
  Fulfill customer SLA’s (99.99% uptime)
  Ensure every request gets handled
Please send resume / github to rashid.khan@calipsa.io for details.

Calipsa | Devops | London | Onsite | VISA

Calipsa is building a Deep Learning platform for video monitoring and analysis.

We are a small team of 8 (7 different nationalities!) and comprised of academics from Cambridge, Imperial and UCL.

Our investors have backed the likes of Facebook, Spotify, Deepmind, Transferwise among many others.

Culture

  Fast paced - we like people who take ownership and have the get-it-done mindset 
  No bureaucracy - you pick your working hours, unlimited holidays, etc.
  Innovative - always challenge the status quo
  Collaboration and knowledge sharing - code reviews / regular talks
  Fun! We have regular team lunches/dinners/activities and always good lunchtime chat
Technologies
  Programming languages: Python
  ML platform: Tensorflow
  Cloud platforms: AWS, GCP
  Containers: Docker, Kubernetes
  Version control: git
Main Responsibilities
  Ensure reliability of Calipsa infrastructure
  Fulfill customer SLA’s (99.99% uptime)
  Ensure every request gets handled

Please send resume / github to rashid.khan@calipsa.io for details.

Calipsa | London | Onsite | Visa | www.calipsa.io

Calipsa is build a Deep Learning platform to automate the monitoring of CCTV video feeds - boosting productivity and efficiency

Our investors include Localglobe, Entrepreneur First and Horizons Ventures - together they have backed the likes of Facebook, Spotify, Deepmind, Transferwise amongst many others

We are a small team of 9 (7 different nationalities!) and comprises of academics from Cambridge, Imperial and UCL

Culture

  -Fast paced - we like people who take ownership and have the get-shit-done mindset 
  -No bureaucracy - you pick your working hours, unlimited holidays etc
  -Innovative - always challenge the status quo
  -Collaboration and knowledge sharing - Code reviews / regular talks
Technologies
  -Programming languages: Python (backend), JavaScript (frontend)
  -ML platform: Tensorflow
  -Cloud platforms: AWS, GCP
  -Containers: Docker, Kubernetes
  -Version control: git
Job description (Backend Engineer)
  -Ownership of designing and developing the backend platform
  -Develop scalable infrastructure to support n*100k cameras
  -Build monitoring, logging and failover capabilities
  -Most importantly - unknown unknowns - be open minded, fast learner and get stuff done!
Please email rashid.khan@calipsa.io with a resume / github to express interest.

Calipsa | London, UK | Onsite, Full-time | Salary & Equity | Sponsor Visa | wwww.calipsa.io

Calipsa builds a Deep Learning platform to automate the monitoring of CCTV cameras. Our team comprises of academics from Cambridge, Imperial and UCL and is backed by some of the best VCs in the world.

We are a team of 9 and are interested in hearing from - Backend / DevOps / ML engineers.

Culture

- Fast paced - we like people who have the get-shit-done mindset

- No bureaucracy, flexible work environment

- Innovative - we like people who are always optimising and automating

Technologies

- Programming languages: Python, JavaScript

- ML platform: Tensorflow

- Cloud platforms: AWS, GCP

- Containers: Docker, Kubernetes

For more information, please contact me at rashid.khan@calipsa.io

Calipsa | Front-end engineers | London | Onsite www.calipsa.io

We automate video based monitoring and analysis using Deep Learning. Currently seeking front end engineers to bring data visualisations to life.

Our investors have collectively backed the likes of Facebook, Airbnb, Slack, Transferwise, Citymapper among others.

Stack: C++, Python, Javascript (Node / React), AWS, Google Cloud Platform, Docker

Email rashid.khan@calipsa.io

Calipsa | Full Stack / Front end Engineers | London | Onsite www.calipsa.io

We automate video based monitoring and analysis tasks using Deep Learning. Our investors have collectively backed the likes of Facebook, Airbnb, Slack, Transferwise, Citymapper among others.

We are currently a team of 8, mix of Deep Learning experts and software engineers and are looking to add to our team.

Currently looking for front end and full stack engineers to work on the UI and the customer facing interface.

Stack: C++, Python, Javascript (Node / React), AWS, Google Cloud Platform, Docker

Email rashid.khan@calipsa.io

Calipsa | Machine Learning / Full Stack Engineers | London | Onsite www.calipsa.io

We automate video based monitoring and analysis tasks using Deep Learning. Our investors have collectively backed the likes of Facebook, Airbnb, Slack, Transferwise, Citymapper among others.

Stack: C++, Python, Javascript (Node / React), AWS, Google Cloud Platform, Docker

Email rashid.khan@calipsa.io

Calipsa | Machine Learning Engineer | London | ONSITE

Calipsa is a VC backed startup in London that is building a platform to automate video based inspection tasks that require people to watch camera feeds (e.g. traffic surveillance, quality assurance in factories etc.)

We are hiring for 1. Machine Learning Engineers - Experience with CNNs, RNNs and the likes 2. Devops - Experience building distributed data processing pipelines (bonus for points for ML on video/ image content)

Hi, I was in a similar situation to you last year. I was working as backend developer and took the online course on Machine Learning on Coursera and realised that I want to work on Machine Learning in the future.

One of the myths is that you can learn to use toolkits and programming languages (R, Python) and become eligible for Machine Learning jobs (I certainly couldn't). It's only when you begin to understand the underlying maths behind the algorithms, you can be successful in interviews.

I would say getting another degree is the best way to go about it since it is very much an academic field. However, if that is not an option, I'd recommend looking at some online courses such as:

- https://www.coursera.org/specialization/jhudatascience/1 - https://www.udacity.com/course/nd002

In addition, I would supplement the courses with a good Machine Learning textbook such as [Pattern Recognition and Machine Learning by Bishop].

Also, see https://news.ycombinator.com/item?id=1055042

I was in a similar situation last year - but after visiting the apple store and trying the different variations I ended up going for the 15" pro, i7 quad-core, 16GB RAM, 512SSD and the retina display with 2880 x 1800 resolution.

It does cost more than the other 2 options but if you are a developer, it might be worth it.

Hi Filippo

Following up from from ColinWright's comment, I'd also have liked a short "About" section which can describe in a couple of lines what the app does and how it helps users.

The design is nice but emphasize the content and you will be good.

Hi nateday, thanks for your comments. The idea here is not to build a new search engine per se. Suppose you are looking for reviews, what you normally do is go to google and type "something reviews".

Instead we want you to go to our page, search for the entity and then get a condensed view using reviews on the web for your search query.

Ask HN: Idea Sunday 12 years ago

A sentiment search engine. Suppose you type the name of a restaurant or a camera or a protein supplement - you get condensed view of "sentiments" with scores in different categories. Data is scraped from individual reviews, shopping sites etc. Additionally you get information about the original source of information so you can carry further research if you want to.

I have learned Node.js from scratch over the last 6 months or so (I was introduced to it by the Startup Engineering MOOC on coursera). Before that my experience was with backend languages - C++, C#, python.

Initially it was a steep learning curve and coming from a "synchronous" way of writing code, I managed to get myself in all sorts of mess. But with time as I have become more comfortable, discovered new patterns (async, promises) I can say I am liking node.js more and more.

Also, the ability to code in a single language for your entire stack (Angular, node, mongo) is not to be overlooked for productivity gains.

So far I haven't really gotten the change to try Go but if your fears are just regarding the async patterns in node.js, I can assure that its NOT that bad and in return it makes you a better programmer.