New York, NY | Software & Mobile Engineering & Deep Learning/Computer Vision Research | Clarifai, Image Recognition | http://clarifai.com/careers | Full-time | On-site
Join our team backed by USV, Google ventures, NVDIA, Qualcomm, Osage, Lux Capital, LDV Capital & Corazon Capital.
Software/Infrastructure Engineers, Android & iOS Engineers, Lead DevOps Engineer, API/Developer Support Engineer, Front End Engineers, Research Scientists & Research Engineers: Deep Learning & Computer Vision, GPU Engineers & Data Scientists
Clarifai was founded in 2013 by Matthew Zeiler to bring the world’s best image recognition technology to market. Our expertise in deep neural networks helped us achieve the world’s best published image labeling results [ImageNet 2013]. Since then Clarifai’s deep learning systems have improved orders of magnitude in speed, vocabulary size, memory footprint and have expanded beyond images to extract knowledge from all forms of data. See what we’ve built and demo it here: clarifai.com.
New York, NY | Software & Mobile Engineering & Deep Learning/Computer Vision Research | Clarifai, Image Recognition | http://clarifai.com/careers | Full-time | On-site
Join our team backed by USV, Google ventures, NVDIA, Qualcomm, Osage, Lux Capital, LDV Capital & Corazon Capital.
Software/Infrastructure Engineers, Android & iOS Engineers, Lead DevOps Engineer, API/Developer Support Engineer, Front End Engineers, Research Scientists & Research Engineers: Deep Learning & Computer Vision, GPU Engineers & Data Scientists
Clarifai was founded in 2013 by Matthew Zeiler to bring the world’s best image recognition technology to market. Our expertise in deep neural networks helped us achieve the world’s best published image labeling results [ImageNet 2013]. Since then Clarifai’s deep learning systems have improved orders of magnitude in speed, vocabulary size, memory footprint and have expanded beyond images to extract knowledge from all forms of data. See what we’ve built and demo it here: clarifai.com.
New York, NY | Software & Mobile Engineering & Deep Learning/Computer Vision Research | Clarifai, Image Recognition | http://clarifai.com/careers | Full-time | On-site
Join our team backed by USV, Google ventures, NVDIA, Qualcomm, Osage, Lux Capital, LDV Capital & Corazon Capital.
Software/Infrastructure Engineers,
Android & iOS Engineers,
Lead DevOps Engineer,
API/Developer Support Engineer,
Front End Engineers,
Research Scientists & Research Engineers: Deep Learning & Computer Vision,
GPU Engineers &
Data Scientists
Clarifai was founded in 2013 by Matthew Zeiler to bring the world’s best image recognition technology to market. Our expertise in deep neural networks helped us achieve the world’s best published image labeling results [ImageNet 2013]. Since then Clarifai’s deep learning systems have improved orders of magnitude in speed, vocabulary size, memory footprint and have expanded beyond images to extract knowledge from all forms of data. See what we’ve built and demo it here: clarifai.com.
Mobile Engineer | Clarifai | Deep Learning Technology | ONSITE
Clarifai was founded in 2013 by Matthew Zeiler to bring the world’s best image recognition technology to market. Our expertise in deep neural networks helped us achieve the world’s best published image labeling results [ImageNet 2013]. Since then Clarifai’s deep learning systems have improved orders of magnitude in speed, vocabulary size, memory footprint and have expanded beyond images to extract knowledge from all forms of data.
Our technology and position in the field of machine learning has already seen extraordinary success and recognition with significant impact on the advancement of technology as a whole and amongst the developer community with our Developer API. See the press and try the demo.
Clarifai is backed by Google ventures, USV, NVDIA, Qualcomm, Osage, Lux Capital, LDV Capital & Corazon Capital.
We are located in NYC.
About the position
Mobile devices are generating the majority of visual content, and we need you to harness these devices to build compelling use cases around visual understanding. Build the first photo apps, games, and shopping apps to harness world-class image recognition.
Responsibilities
Develop mobile applications that leverage our visual recognition technology.
Integrate closely with cloud based APIs and cope with large amounts of data.
Determine user flow and implement UIs to make complex technology simple.
Skills
Great UI/UX and design sense. A portfolio of graceful and functional apps where you’ve been lead or a major contributor.
iOS or Android.
Product instinct: a knack for what users want and need.
Experience with all stages of the product lifecycle, from concept through production launch.
Backend server experience in Python or other languages a plus.
Mobile game, graphics or GPU programming a plus.
Bachelor’s degree or higher level degree preferred.
Lead DevOps Engineer | Clarifai | Deep Learning Technology | ONSITE
Clarifai was founded in 2013 by Matthew Zeiler to bring the world’s best image recognition technology to market. Our expertise in deep neural networks helped us achieve the world’s best published image labeling results [ImageNet 2013]. Since then Clarifai’s deep learning systems have improved orders of magnitude in speed, vocabulary size, memory footprint and have expanded beyond images to extract knowledge from all forms of data.
Our technology and position in the field of machine learning has already seen extraordinary success and recognition with significant impact on the advancement of technology as a whole and amongst the developer community with our Developer API. See the press and try the demo.
Clarifai is backed by Google ventures, USV, NVDIA, Qualcomm, Osage, Lux Capital, LDV Capital & Corazon Capital.
We are located in NYC
About the position
You keep the engine humming. In this role you strive for 100% uptime on all our production systems.
Responsibilities
Ownership of production releases.
Identify and resolve production bugs.
Metrics and monitoring: Integrate metrics, logs and alerting to maximize uptime.
Minimize production costs while maximizing performance.
Hardware procurement and builds.
Skills
Experience monitoring and scaling production systems.
Familiarity with cloud computing infrastructure (esp. AWS), and devops tools such as ansible and docker.
Testing: understand best practices and familiarity with frameworks, e.g. Jenkins.
Linux system and network administration.
Bachelor’s degree or higher level degree.
GPU Infrastructure Engineer | Clarifai | Deep Learning Technology
Clarifai was founded in 2013 by Matthew Zeiler to bring the world’s best image recognition technology to market. Our expertise in deep neural networks helped us achieve the world’s best published image labeling results [ImageNet 2013]. Since then Clarifai’s deep learning systems have improved orders of magnitude in speed, vocabulary size, memory footprint and have expanded beyond images to extract knowledge from all forms of data.
Our technology and position in the field of machine learning has already seen extraordinary success and recognition with significant impact on the advancement of technology as a whole and amongst the developer community with our Developer API. See the press and try the demo.
Clarifai is backed by Google ventures, USV, NVDIA, Qualcomm, Osage, Lux Capital, LDV Capital & Corazon Capital.
We are located in NYC.
About the position
GPUs have had a massive impact on how much information we can process and understand. We are looking for a highly motivated engineer who can make them scream across many different architectures, operating systems and devices.
Responsibilities
Optimize our gpu kernels across a wide variety of architectures.
Interface low-level kernels with high level languages to make it simple and intuitive to leverage performance gains.
Interface the GPU routines for communication across multiple devices to support parallel operation of our machine learning systems.
Skills
Excellent programming skills and knowledge of C++.
Knowledge of GPU architecture and corresponding parallel programming platforms such as OpenCL, OpenGL, or CUDA.
Experience optimizing GPU kernels and conducting performance analysis.
Developed solutions which leverage intra- and inter-node GPU communication using device-to-device, device-to-host or other communication patterns.
Contact: claudia@clarifai.com
Bachelor’s degree or higher level degree.
Front-End Engineer | Clarifai | Deep Learning Technology
Clarifai was founded in 2013 by Matthew Zeiler to bring the world’s best image recognition technology to market. Our expertise in deep neural networks helped us achieve the world’s best published image labeling results [ImageNet 2013]. Since then Clarifai’s deep learning systems have improved orders of magnitude in speed, vocabulary size, memory footprint and have expanded beyond images to extract knowledge from all forms of data.
Our technology and position in the field of machine learning has already seen extraordinary success and recognition with significant impact on the advancement of technology as a whole and amongst the developer community with our Developer API. See the press and try the demo.
Clarifai is backed by Google ventures, USV, NVDIA, Qualcomm, Osage, Lux Capital, LDV Capital & Corazon Capital.
We are located in NYC.
About the position
Deep learning and neural networks allow computers to see, now we need you to make applications that are something to look at! We're seeking frontend developers who are smart, passionate, and bold to help build new web and mobile applications that excite users.
Responsibilities
Build compelling and clean web applications leveraging Clarifai's image recognition and video recognition core.
Implement consistent look and feel of Clarifai products.
Design UI for both mobile and web form factors.
Integrate frontend UI closely with backend frameworks.
Skills
Several years of frontend engineering experience, preferably with UI/UX design skills.
Experience working with javascript frameworks like angular, react.js or flux.
Experience around photo and video content a strong plus.
Python and Django experience a plus.
Data Scientist | Clarifai | Deep Learning Technology
Clarifai was founded in 2013 by Matthew Zeiler to bring the world’s best image recognition technology to market. Our expertise in deep neural networks helped us achieve the world’s best published image labeling results [ImageNet 2013]. Since then Clarifai’s deep learning systems have improved orders of magnitude in speed, vocabulary size, memory footprint and have expanded beyond images to extract knowledge from all forms of data. See the press and try the demo.
Clarifai is backed by Google ventures, USV, NVDIA, Qualcomm, Osage, Lux Capital, LDV Capital & Corazon Capital.
We are located in NYC.
About the position
As a data scientist at Clarifai you will tame the massive amount of data flowing throughout systems to make sense of it all. We are looking for a mixture between machine learning researcher, statistician, scientist, and engineer.
Responsibilities
Process incoming data streams to make the most out of our data.
Determine other useful data sources to incorporate.
Create great visualizations to display trends and extract useful information from data.
Discover new opportunities leveraging new and existing data.
Skills
Experience developing visualizations in web frameworks and/or Python toolkits.
Past work with map-reduce frameworks and machine learning algorithms.
Capable of extracting data from SQL, Elasticsearch and other database systems.
Can communicate concisely through visualizations of information.
Masters or higher level degree.
