Join Roboflow: Engineering

Roboflow · Intermediate ·👁️ Computer Vision ·4y ago

Key Takeaways

Roboflow's co-founder and CTO discusses the company's mission to democratize computer vision and hiring for several engineering roles, highlighting the impact of computer vision on various industries and the company's remote-first culture.

Full Transcript

hey there i'm brad the co-founder and cto of roboflow a startup that builds tools that help developers give their software the sense of sight we enable everyone from giant companies to hackers and hobbyists to use computer vision without having to become machine learning experts for example we help cardinal health with a pill counting application that enables pharmacists to be much more effective through remote telehealth but we also build the tooling that lets individual developers build cool things like the world's most technologically advanced cat toy which identifies a cat and then shoots a laser around the kitchen floor in an intelligent manner if you want to check out some of these other fun projects that users have built um go to universe.roboflow.com this is our public site where users can share their data sets and models with others there's everything from a playing card application to uh airplane detection to a chocolate identified identifier and hundreds more as an example of one of those i'll pull up on my webcam a hand detection model so somebody trained this to detect hands and you can imagine doing using this to do like a rock paper scissors game or a paper football game or something like that and if you want to see how you would use something like that to actually build a project over the course of a hackathon check out my blog post about building a blackjack app with that playing card data set um over the course of about an hour and a half i was able to build something from scratch with that data set that a couple years ago uh wouldn't even have been possible um computer vision is going to transform essentially every industry we think it's as important for the world as the pc or the internet or the smartphone were it's one of those kind of core foundational technologies that's going to spider web its way into how we interact with computers and how computers interact with the world and essentially how every business operates my co-founder had a great discussion with our uh lead investor david sachs uh on the call-in app which is essentially a podcast about the future of computer vision and actually dove into that use case with cardinal health and pill counting that i touched on earlier um one reason that it's an amazing time to join us at roboflow is that you would be helping not only build technology that's going to transform all of these industries and the way that computers interact with the world but also it's an opportunity to help us build the company and be a part of not just the product development but the development of our culture and and company um we are dedicated to being uh the world's uh best remote first experience and i wrote a little bit about our remote first culture on a blog post called remote not distant uh where we talk about some of the unique things that we do including um regular on-sites like i am attending currently for the product team um but also we have full company on-sites that that happen on a regular basis and we do things like um sponsoring grassroots hubs so if there's multiple people in a single city we will actually uh sponsor a satellite office to spring up from them so that we can get the best the benefits both of being able to hire talent everywhere across the country and also being able to develop relationships with your co-workers just up to how each individual wants to dive in the other interesting thing about joining the company at this stage is that you would have a huge impact on shaping the product trajectory there's a lot of autonomy we call this choosing your own loss function and because we're a developer tool engineers specifically have a really good sense of not only how to build the things that we need to build but what those things even are and helping scope out what the product should look like and what what initiatives we're going to tackle and this is something that we do collaboratively amongst the product team we're actually currently doing quarterly planning uh where we break down the product into its core components uh and everybody kind of throws ideas on the board of uh ways that they think that we can improve our our core metrics and objectives and then we together uh rank those by how hard they would be to do and how much impact we think they'd have and then each team uh very uh autonomously decides what they'll be working on and what they think the most important things are um and this all bubbles up from the bottom so you'd have a huge huge impact and a lot of freedom and leeway to be autonomous which all of our engineers really really value um i'd love to talk to you more about our engineering culture and our company and the opportunities around computer vision would please reach out we have several open engineering roles and we'll be rapidly expanding our team looking forward to talking to you

Original Description

Roboflow helps developers give their software the sense of sight. We're hiring for several engineering roles; join us in democratizing computer vision & building the world's best remote-first culture.here Resources: 🏡 https://roboflow.com 👩‍💻 Open Positions: https://roboflow.com/careers 🐱 Cat lasers: https://www.youtube.com/watch?v=AVp1tndzV34 🚀 Universe: https://universe.roboflow.com ♠️ Blackjack Live Coding: https://blog.roboflow.com/blackjack-basic-strategy/ 🎧 Future of Computer Vision Podcast: https://www.callin.com/episode/ep4-the-future-of-computer-vision-cpEuMWSRQA ✈️ Remote, Not Distant: https://blog.roboflow.com/remote-not-distant/
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Playlist

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1 YOLOv3 PyTorch Notebook Tutorial
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2 How to Train YOLOv4 on a Custom Dataset (PyTorch)
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3 How to Train YOLOv5 on a Custom Dataset
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4 How to Use the Roboflow Dataset Health Check
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5 What is Mean Average Precision (mAP)?
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6 How to Use the Roboflow Model Library
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7 How to Train EfficientDet in TensorFlow 2 Object Detection
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8 How to Train YOLO v4 Tiny (Darknet) on a Custom Dataset
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9 Ask the Roboflow Team Anything - Episode 1
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10 Exploring The COCO Dataset
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11 Community Spotlight: Improving Uno with Computer Vision
Community Spotlight: Improving Uno with Computer Vision
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12 Mosaic Data Augmentation - Deep Dive
Mosaic Data Augmentation - Deep Dive
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13 Hands on with the OAK-1
Hands on with the OAK-1
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14 Glenn Jocher: What is New in YOLO v5?
Glenn Jocher: What is New in YOLO v5?
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15 How to Use Amazon Rekognition Custom Labels and Roboflow to Build an Object Detection Model
How to Use Amazon Rekognition Custom Labels and Roboflow to Build an Object Detection Model
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16 An Interview with Brandon Gilles, Luxonis Founder and OAK Chief Architect
An Interview with Brandon Gilles, Luxonis Founder and OAK Chief Architect
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17 How to Train a Custom Mobile Object Detection Model (with YOLOv4 Tiny and TensorFlow Lite)
How to Train a Custom Mobile Object Detection Model (with YOLOv4 Tiny and TensorFlow Lite)
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18 Tackling the Small Object Problem in Object Detection
Tackling the Small Object Problem in Object Detection
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19 Fast.ai v2 Released - What's New?
Fast.ai v2 Released - What's New?
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20 Teaser: Roboflow Train (1-Click Computer Vision AutoML)
Teaser: Roboflow Train (1-Click Computer Vision AutoML)
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21 How to Train a Custom Resnet34 Image Classification Model
How to Train a Custom Resnet34 Image Classification Model
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22 How to Label Images for Object Detection with CVAT
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23 Deploy YOLOv5 to Jetson Xavier NX at 30 FPS
Deploy YOLOv5 to Jetson Xavier NX at 30 FPS
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24 Elisha Odemakinde Hosts Roboflow ML Engineer, Jacob Solawetz
Elisha Odemakinde Hosts Roboflow ML Engineer, Jacob Solawetz
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25 Getting Started with VoTT - Computer Vision Annotation
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26 How to Manage Classes in Object Detection (Rename, Combine, Balance)
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27 How to Train YOLOv4 on a Custom Dataset in Darknet
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28 Is Grayscale a Preprocessing or Augmentation Step in Computer Vision?
Is Grayscale a Preprocessing or Augmentation Step in Computer Vision?
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29 Getting Started with Image Data Augmentation
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30 Glenn Jocher: Image Augmentation in YOLO v5 and Beyond
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31 GA Hosts Roboflow - Healthcare and AI
GA Hosts Roboflow - Healthcare and AI
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32 How do self driving cars know when to stop?
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33 What is PASCAL VOC XML?
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34 AutoML Showdown: Google vs Amazon vs Microsoft
AutoML Showdown: Google vs Amazon vs Microsoft
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35 How is computer vision changing manufacturing?
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36 The Alphabet in American Sign Language
The Alphabet in American Sign Language
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37 Luxonis OAK-D: Computer Vision on Device
Luxonis OAK-D: Computer Vision on Device
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38 How to Train a Custom Faster R-CNN Model with Facebook AI's Detectron2 | Use Your Own Dataset
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39 TensorFlow vs PyTorch: Fireside
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40 Occlusion Techniques in Computer Vision
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41 A Customizable Web Application for Your Computer Vision Model
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42 Model Tradeoffs and the Future of Computer Vision
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43 Designing an Augmented Reality Board Game App
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44 YOLOv4 - Advanced Tactics
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45 How to Use CreateML and Build a Computer Vision iPhone App | AR Object Detection
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46 Fireside Chat: Computer Vision in Agriculture
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47 Scaled-YOLOv4 Tops EfficientDet: Research Rundown
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48 What is Image Preprocessing?
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49 Building a Community of Creators with BlkArthouse and Von Deon
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50 How to Train Scaled-YOLOv4 to Detect Custom Objects
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51 Intro to Computer Vision: Fireside
Intro to Computer Vision: Fireside
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52 The Best Way to Annotate Images for Object Detection
The Best Way to Annotate Images for Object Detection
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53 The Computer Vision Process: Fireside
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54 How to Annotate Images with Your Team Using Roboflow
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55 Introducing the Roboflow Object Count Histogram
Introducing the Roboflow Object Count Histogram
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56 How Fast is the M1 at Machine Learning? Benchmarking Apple's M1 and Intel's Chips
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57 CLIP: OpenAI's amazing new zero-shot image classifier
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58 How I hacked my Nest camera to run custom models
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59 Getting Started with the Roboflow Inference API
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60 Transfer Learning in Computer Vision | What, How, Why
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Roboflow is hiring engineers to help democratize computer vision and build a remote-first culture. The company's mission is to enable developers to use computer vision without becoming machine learning experts. Engineers will have a huge impact on shaping the product trajectory and will work autonomously to scope out initiatives and tackle objectives.

Key Takeaways
  1. Explore Roboflow's website and public site (universe.roboflow.com) to learn more about the company's mission and projects
  2. Check out the company's blog posts, such as 'Remote not distant', to understand the remote-first culture
  3. Review the open engineering roles and consider applying to join the team
  4. Participate in quarterly planning to contribute to the product trajectory and core components
  5. Collaborate with the product team to scope out initiatives and tackle objectives
  6. Develop and implement computer vision applications using machine learning models and autonomous systems
💡 Computer vision is a core foundational technology that will transform essentially every industry, and Roboflow is at the forefront of democratizing its use.

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