Research Intern - Computer Vision and Deep Learning
PhD research internship is being offered by the Robotics Group of Data61, CSIRO
Hikvision is a world leading IOT solution provider, with computer vision as core technology. There is an immediate opening for a deep learning and computer vision research internship position at Hikvision Research Institute, Santa Clara, USA. We address a wide variety of computer vision problems and have a strong publication record in leading journals and conferences. Ideal candidates for this position have a PhD or MS in a field related to artificial intelligence as well as publications at conferences such as ICCV, CVPR, ICML, NIPS, etc. As a research intern at Hikvision, you will have the opportunity to develop new ideas for academic publication. The research topics include but not limited to deep generative modeling, unsupervised representation learning, 3D and spatial-temporal data modeling and analysis, and other supervised visual recognition problems. Interested candidates should directly email a CV to Jianwen.Xie@hikvision.com.
The CEA LETI is seeking a postdoctoral researcher to develop a 3D deep learning approach in occupancy grid analysis. The context of this subject is the development of autonomous vehicles / drones / robots.
One post-doctoral researcher position is available in the Data Science Lab and the Wireless System Research Lab, McMaster University, Canada to develop novel algorithmic and system solutions to multi-camera target tracking and activity recognition. The position is for two year and is renewable based on funding availability.
This is an exciting opportunity for a Senior Research Engineer - 3D Computer Vision to contribute to new and ongoing research projects at Honeywell’s Golden Valley, MN office. We are also open to additional Honeywell locations within the USA such as: Broomfield, CO, Herndon, VA, Atlanta, GA & Phoenix, AZ. You will collaborate with both external and Honeywell-internal customers to define and meet objectives spanning a wide range from early research to all the way through product release. As an individual contributor to ongoing projects, you will complement existing team members having backgrounds in computer vision and image processing.
We are looking for a graduate student intern to join our team to improve our radar imaging pipeline. Qualified candidate should be pursuing a Masters / PhD degree in Computer Science / Electrical Engineering or relevant field. An in-depth understanding of random processes, digital signal processing and experience with Python / C++ is required. Prior experience with estimation techniques such as Kalman filter, extended Kalman filter and particle filter is a plus. Not only will you receive invaluable guidance from an experienced team, you will gain hands-on experience in an exciting field. This is a full-time paid position and we ask for a commitment of at least 3 months with potential to extend.
We are looking for a PhD student to join our Research team at Mapillary. You will be working on basic research projects in the field of object recognition and/or 3D modeling. Together with a team of motivated researchers, your goal is to develop and prototype proof-of-concept solutions for challenging machine vision problems, and we aim for publishing the results at high-impact conferences. Ideally, you already completed 2-3 years of your PhD studies and have experience in publishing your works in any of CVPR, ICCV, ECCV, NIPS, ICML or PAMI, have been working on deep learning for object recognition, 3D reconstruction, graph-based learning or related fields. The internship period is 3 months with the possibility to extend if needed. When you apply, please include your CV and a short description about of previous works during your PhD time (e.g. links to papers or your Github account). Become part of our mission for helping others to visualize and understand the world!
In the domain of Information Extraction, the Entity Disambiguation task consists in connecting an entity extracted from a text to known entities in a knowledge base. The proposed post-doc consists in exploring the usage of visual information to improve the disambiguation. It thus relates to both computer vision and natural language processing and the candidate will work with researchers of both domains
Description We are an innovative computer vision company setting up an R&D office in Singapore. We are looking to hire the best deep learning engineers in the world. If you have a passion for technology, AI and deep learning. This is an opportunity to work with great people in a great company. Responsibilities The deep Learning position is to carry out cutting edge research and development in large scale image and video understanding. This involves solving incredibly hard problems in computer vision and transforming those solutions to world class products. This role covers a wide range of challenges, from enhancing our core deep learning models to R&D in object recognition, to working with some of our customers to solve unique problems in their environments. Your primary responsibilities are: • Plan and advance cutting-edge research in detection, classification, segmentation and retrieval problems • Train models and design inference systems for images, videos and multi modal data.
Department of Robotics, Perception, and Learning (RPL) at KTH announces a PhD position on the topic of Deep Learning. The sub-topic is to a certain extent free and can be decided in a discussion between the prospective student and the supervisors. The application area will mainly be in computer vision and potentially NLP. PhD salaries at KTH are competitive worldwide. For more details refer to the official announcement using the provided link. https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:193837/where:4/
PhD studentship (salary + fees at UK/EU level) cyber-vulnerabilities in deep learning algorithms for autonomous navigation (with Thales R&D)
The new tenure tracker is expected to contribute to fundamental research in video understanding via edge computing. We anticipate that the field of video understanding combined with embedded cameras will drive the next wave of innovation in this field. For more info see: http://bit.ly/uva-videoprof
AiCure is a VC-funded startup that uses artificial intelligence (computer vision, machine learning, and big data) to bring better health, better drugs, and better treatment to everyone on the planet. As a research intern at AiCure you will design, prototype and implement algorithms to solve challenging computer vision problems. Your work will be used at scale and will have significant impact on healthcare for everyone on the planet! Requirements: - Masters or PhD student at research university. - Research experience in CV and applied ML, must be able to independently implement algorithms, run experiments, and communicate the results. - Publications in top tier venues (CVPR, ICCV, NIPS, ICLR, etc.) are a plus. - Highly motivated, and able to work independently in a fast-paced startup environment. To apply: - Please send one paragraph cover email. - Attach CV. - Specify availability: start and end date. - Specify expected graduation date.
Desired Skills & Experience • Broad knowledge in various computer vision related topics, solid understanding of imaging system principles • Strong knowledge and extensive hands-on experience of 3D computer vision technologies, including 2D/3D feature detection and matching, 3D reconstruction, point-cloud processing • Deep understanding of structure-from-motion, bundle adjustment, multi-view geometry,visual-inertial odometry, SLAM and Kinect-type sensor technology • Experience in developing real-time computer vision system is highly desired, especially in accelerating computer vision using GPUs • Experience in eye tracking, human gesture recognition, body pose estimation, 2D/3D object tracking a plus • Experience in mobile and web-based platform development a plus • Excellent C/C++ programming skills, proficient with scripting languages (e.g. Python or Matlab), and extensive experience with OpenCV, PCL, CGAL and etc • Bilingual in English and Chinese is essential
Contribute to company’s strategic Internet of Things (IoT) initiatives by leading visual computing technology effort, including 3D computer vision, augmented/mixed reality, wearable computing, and vision graphics (e.g., image/video-based 3D modeling and rendering) • Collaborate with a seasoned international team to drive the design and implementation of innovative IoT solutions that improve consumers’ everyday commerce and life experiences • Evaluate external technology offerings, and advise on strategic partnership opportunities with other industry players • Actively promote ideas from emerging visual computing industry trends to company's executive management
Primary responsibilities include: • Research of Deep Learning based Nature Language Processing technologies • Applying NLP related technologies in search and recommendation engines • Building Virtual Personal Assistant system which is capable of having conversation and interacting with human intelligently, in scenarios such as customer service • Closely watching industry trend, and adopting the latest and greatest NLP and AI technologies within VIPShop companies across the globe
Machine Learning Engineer
Apply deep learning (CNN, RNN, GAN) for Yahoo product
Post-doctoral research position in the Computer Vision Group in collaboration with the Automatic Control Group at Chalmers University of Technology. Topic: 3D Perception and Prediction of Pedestrians for Improved Decision-Taking. Full-time 2-year position with excellent research conditions and competitive salary. Deadline: April 15, 2018. More information about the position and how to apply, see http://www.chalmers.se/en/about-chalmers/Working-at-Chalmers/Vacancies/?rmpage=job&rmjob=6052.
A postdoc position in Computer Vision and Machine Learning is available immediately at the Institute of Science and Technology Austria (IST Austria) in the group of Christoph Lampert. Applicants should hold a PhD in computer vision or a related area with a solid background in modern machine learning techniques. A strong research record is required, documented by publications at first-tier conferences (CVPR, ICCV, ECCV) and/or journals (IJCV, PAMI). We are looking a for highly motivated and creative individual who enjoys working in an excellent academic research environment including adequate funding for equipment and conference travel. The successful candidate will have no mandatory teaching or administrative duties. Good communication skills and fluency in English are required. German language skills are optional. For further details on the conditions of employment, the hosting institution and the application procedure, please visit http://cvml.ist.ac.at
The Computer Vision Group at the University of Kansas (KU) is looking for one PhD candidate in 2018. The research group is affiliated to the Department of Electrical Engineering and Computer Science (EECS) and the Information and Telecommunication Technology Center (ITTC), one of the largest research centers at the University of Kansas, with extensive resources and state-of-the-art facilities supporting various multidisciplinary inquiries. KU is a one of the prestigious public research universities in the United States, it is located at Lawrence, which was named one of America's 10 best college towns.
Software Engineer Medical Applications Development of medical software applications as part of international cross-functional team Testing of software and documentation of test results Support regulatory affairs team in medical device documentation Innovation of unique features and drafting of patents Surveillance of emerging technologies and prototyping of potential applications Interfacing with customers, suppliers, and internal peers in R&D Required Bachelors of Engineering or Masters in Software engineering/Informatics/Mathematics or equivalent 3+ years of experience in software development Excellent programming skills in C++/C#/ .Net Fluent in English Extremely strong problem solving, analysis skills Ability to deliver in high performance, results oriented and time bound environment
The Computer Vision Engineer Intern will be involved in the development of the Auris navigation program for medical interventions. He/She will work closely with Research Scientists and Software Engineers to design and develop solutions to assist safe navigation in human anatomy. Current PhD students are preferred.
Job Responsibilities · Design and develop state-of-the-art computer vision and deep learning-based algorithms for analyzing 2D/3D medical images · Implement and optimize core analytical algorithms Job Qualifications · PhD in CS/ECE/Statistics or related fields or MS with 2+ years research-related experience · Strong expertise in computer vision and machine learning · Publications at top conferences and journals, or successful industry experience · Extensive experience in designing deep convolutional neural networks · Proficient programing skills in C/C++ and Python, experience with ITK preferred
At Occipital, we believe that spatial is the next frontier in computing. We are looking for passionate, talented computer vision engineers and researchers to help bring cutting edge spatial computing to everyday life. Well-designed hardware is only the beginning of what we do at Occipital. We're fundamentally a software company developing state-of-the-art computer vision software. We've laid the groundwork for spatial computing in everyday life by launching apps and a powerful engine for real-time object scanning, indoor mapping and augmented reality. If you have experience and passion in all or most of the following topics, we would love to talk to you: * Simultaneous Localization and Mapping (SLAM) * Machine Learning for Vision (Decision Trees, Neural Networks) * Augmented Reality, Virtual Reality * Sensor Fusion * Multi-View Stereo * GPGPU (OpenCL/Metal/CUDA) * Native mobile development (iOS, Android) * C/C++ optimization including vector (SIMD) instructions
Are you a research scientist who wants to be part of disruptive innovation in today’s technology-driven market? Then join our team. ObEN is a leading artificial intelligence company that creates complete virtual identities for consumers and celebrities. ObEN is a Softbank and HTC VIVE X portfolio company and also part of world leading technology incubator Idealab. Come see what it’s like to take on extraordinary transformations every day, in an environment buzzing with smart people (including our team of world class scientists in areas of NLP, deep learning and speech) who understand and respect what you do.
Your responsibilities: As a member of the deep learning team, you will design, develop, configure and optimize deep neural networks for various tasks such as detection and classification. Ability to work fast with teams in an open-table company culture is important. You must have: PhD, M.Sc. in Computer Science, Electrical Engineering or Econometrics High proficiency in C++, Python and/or Java Experience with data-driven statistical or machine learning methods. Enjoys a highly collaborative environment with minimal supervision. Experience with software engineering best practices including unit testing, continuous integration, and source control.
Your responsibilities: As a member of the machine language translation team, you utilize your superior technical aptitude and deep understanding of Machine Learning and Natural Language Processing to create the best Machine Translation solutions for our algorithms. You should be comfortable to also work with a wide array of teams in areas of wellness, healthcare, marketing, business development, psychology, design, user experience and product development. Ability to work fast with teams in an open-table company culture is important. You must have: M.Sc. in Computer Science, Electrical Engineering or Physics; PhD preferred. High proficiency in C++. Experience with data-driven statistical or machine learning methods. Enjoys a highly collaborative environment with minimal supervision. Fluent in Mandarin Chinese and English
Your responsibilities: As a member of the machine language translation team, you utilize your superior technical aptitude and deep understanding of Machine Learning and Natural Language Processing to create the best Machine Translation solutions for our algorithms. You should be comfortable to also work with a wide array of teams in areas of wellness, healthcare, marketing, business development, psychology, design, user experience and product development. Ability to work fast with teams in an open-table company culture is important. You must have: PhD, M.Sc. in Computer Science, Electrical Engineering or Physics High proficiency in C++. Experience with data-driven statistical or machine learning methods. Enjoys a highly collaborative environment with minimal supervision.
Your responsibilities: As a member of the machine language translation team, you utilize your superior technical aptitude and deep understanding of Machine Learning and Natural Language Processing to create the best Machine Translation solutions for our algorithms. You should be comfortable to also work with a wide array of teams in areas of wellness, healthcare, marketing, business development, psychology, design, user experience and product development. Ability to work fast with teams in an open-table company culture is important. You must have: M.Sc. in Computer Science, Electrical Engineering or Physics; PhD preferred. High proficiency in C++. Experience with data-driven statistical or machine learning methods. Enjoys a highly collaborative environment with minimal supervision. Fluent in Indonesian and English
Your Responsibilities: As a member of the machine language translation team, you utilize your superior technical aptitude and deep understanding of Machine Learning and Natural Language Processing to create the best Machine Translation solutions for our algorithms. You should be comfortable to also work with a wide array of teams in areas of wellness, healthcare, marketing, business development, psychology, design, user experience and product development. Ability to work fast with teams in an open-table company culture is important. You must have: M.Sc. in Computer Science, Electrical Engineering or Physics; PhD preferred. High proficiency in C++. Experience with data-driven statistical or machine learning methods. Enjoys a highly collaborative environment with minimal supervision. Fluent in Japanese and English
Your Responsibilities: As a member of the machine language translation team, you utilize your superior technical aptitude and deep understanding of Machine Learning and Natural Language Processing to create the best Machine Translation solutions for our algorithms. You should be comfortable to also work with a wide array of teams in areas of wellness, healthcare, marketing, business development, psychology, design, user experience and product development. Ability to work fast with teams in an open-table company culture is important. You must have: M.Sc. in Computer Science, Electrical Engineering or Physics; PhD preferred. High proficiency in C++. Experience with data-driven statistical or machine learning methods. Enjoys a highly collaborative environment with minimal supervision. Fluent in Korean and English
Your Responsibilities: The Machine Learning Research Director will be responsible for supervising research scientists and engineers, providing feedback for projects using ML, including those in other teams, developing and shaping ML projects with respect to the company’s needs, and managing the ML team. You must have: PhD in Computer Science, Statistics, Electrical Engineering, Applied Mathematics, or related field 5+ years of industry and/or academic experience in a Machine Learning/Data related role after PhD graduation Hands on experience with at least two of the following areas: Deep Learning, Generative Models, Transfer and Multi-Task Learning, Structured Prediction, Unsupervised Learning, Graphical Models, Convex Optimization, Active Learning Reinforcement Learning, Bayesian Nonparametric Methods and Semi-Supervised Learning Strong experience in writing and deploying new algorithms and models Strong publications in top ML conferences (NIPS, ICML, ICLR, KDD, etc.)
Your Responsibilities: The ML Research Engineer will be responsible for implementing ML models proposed and guided by ML Research Scientists and collaborating with other team members for data collection and pre-processing, and post-processing of data. You must have: MS in Computer Science, Electrical Engineering, Physics, or other related field. Strong implementation skill demonstrated by code implementing ML models, and general knowledge about ML. Experience in deep generative models preferred. Fluent in Python and C++/Java, and Deep learning package: Tensorflow and/or pyTorch
Your Responsibilities: The ML Research Scientist will be responsible for developing novel ML models for projects in the company, like a new TTS model, implementing and improving proposed/existing ML models, and supervising and providing feedback to ML engineers for projects using ML, including those in other teams. You must have: PhD in Computer Science, Statistics, Electrical Engineering, Applied Mathematics, or related field Strong experience in writing and deploying new algorithms and models Strong research experience in ML, demonstrated by publications in top ML conferences (NIPS, ICML, ICLR, KDD, so on). Hands-on experience in Deep Learning, Generative Models, Transfer and Multi-Task Learning, Structured Prediction, Unsupervised Learning, Graphical Models, Convex Optimization, Active Learning Reinforcement Learning, Bayesian Nonparametric Methods and Semi-Supervised Learning preferred.
Collaborate with senior machine learning researchers, engineers and speech processing researchers. Provide technical expertise to address supervised and unsupervised learning problems in an applied research and development environment. Develop & deploys modern machine learning and statistical methods (CART and Random Forests, clustering and classification algorithms, Bayesian models, neural nets, SVM etc.) for finding patterns/models from audio signals. Familiarity with large data sets, cloud based development and deployment, open source practices and frameworks and experience in putting an application into production is desirable.
Prime Air is looking for motivated computer vision and machine learning researchers to develop algorithms for autonomous drones. Research topics range from classical computer vision, multi-sensor fusion to embedded systems and machine learning.
Looking for an experienced (Ph.D preferred) computer scientist with experience in the construction of 3d maps from sensor data. In particular, experience with pose estimation, point cloud construction, and polygon extraction are desired. The ideal candidate will have experience with 3D map building projects, LIDAR data, SLAM, VSLAM, and computer vision generally. Interest in Machine learning is a plus. Applicants are expected to have experience in a production environment, and be familiar with industry standard development tools and techniques, such as Git, JIRA, and Agile project management. You would be joining an exciting seed phase start-up company doing large scale 3D architectural scanning and scene understanding with cutting-edge applications in remote viewing, VR, and AR.
The Postdoc in Deep Learning will work on perception algorithms that use Deep Learning to achieve invariance and robustness to strong environmental changes (HDR scenes, motion blur, illumination, perceptual ambiguities, weather, etc.). Moreover, he/she will extend current machine learning techniques on new, revolutionary sensor types, such as event cameras. The Postdoc in (Inverse) Reinforcement Learning will develop models that allow a robot to interact with its environment in order to achieve some complex tasks. At the same time, the robot should learn how to cope with high variability in environmental conditions. These models will be built and tested both on real world and simulated environments.
Want to work for the finalist of Nvidia Inception Award? As a Research Engineer in AiFI’s Edge Computing team, you will work on deep learning speedup, performance optimization and embedded device. You will design efficient neural network architectures for various tasks including object detection and action recognition.
Responsibilities: 1. Develop visual understanding algorithms for autonomous driving 2. Model compression for real-time applications Requirements: 1. Experience on fundamental computer vision tasks (e.g., image classification, semantic segmentation, object detection, object tracking etc) 2. Solid knowledge on machine learning and deep learning 3. Experience with at least one deep learning framework
The Interactive Neurorehabilitation Lab at Virginia Tech invites applications for a post-doctoral research position in computer vision and machine learning to work on an exciting project developing home-based interactive systems for unsupervised stroke therapy. The successful candidate will have a unique opportunity to develop new computer vision techniques and machine learning algorithms in a challenging, impactful, and fast moving research space. The position will be affiliated with the Interactive Neurorehabilitation (INR) Lab at Virginia Tech led by Dr. Aisling Kelliher and Dr. Thanassis Rikakis. The INR lab is an interdisciplinary research group with faculty and students from Computer Science, Bioengineering, Electrical and Computer Engineering, and Design.
Responsibilities. 1. Research and develop multi-sensor fusion algorithms to localize self-driving vehicles. 2. Research and develop technology for crowd sourced HD map creation and updates. 3. Research and develop systems for larger scale HD maps stitching and fusion.
1. Design and develop storage and indexing system for large scale HD maps for autonomous driving. 2. Design and develop browsing and rendering systems for large scale HD maps.
Robot Interaction Lab of Intel Labs China is the world-top research center on human robot interaction. Our target is to make the smart home-service robot with the continuous learning ability. We are seeking a researcher with good experience of computer vision and machine learning. If you join us, you will have opportunity to make technical innovation which will bring new experience to our life.
Are you interested in solving computer vision problems that involve massive video data sets from millions of cameras, hundreds of thousands of on-demand videos or thousand channels of live TV? Do you have experience in building large-scale computer vision and machine learning system? Do you want to conduct industry-leading research in content analysis technologies and real-time and cloud computer vision algorithms to create smart digital homes and help millions of households discover and interact with video and music content on their TV, PC, Phone, and Mobile devices?
1. Object and activity recognition for home security using cameras and other IoT sensors 2. Deep learning for the annotation, segmentation and recognition of broadcast videos and ads
The ideal candidate is a driven and talented coder with a proven track record of quickly solving difficult technical problems and a hunger to become a great programmer.
The ideal candidate is a driven and talented scientist with a proven track record of quickly solving difficult technical problems and a hunger to use computer vision and machine learning to positively impact millions of lives
Computer Vision Research Engineer The Technology Development Group is exploring exciting new technologies in the areas of computer vision, object recognition, scene understanding, 3d reconstruction, and motion estimation. We are looking for a driven and dedicated computer vision software engineer with a strong technical track record in at least any of these fields. As a member of our fast-paced group, you will have the unique and rewarding opportunity to delight and inspire millions of Apple’s customers every day. You will work in a cross-functional team which is researching and developing innovative computer vision algorithms and systems. Push the state-of-the-art in computer vision techniques and drive them towards efficient implementations by tightly integrating software and hardware.
As a researcher at Algolux, you have expertise and the ability to make novel research contributions in computer vision, imaging and machine learning. You will be a key part of a team that is building breakthrough end-to-end perception stacks for autonomous vehicles. We are looking for candidates that are motivated to solve key imaging and computer vision problems that will enable robust robotics and sensing in adverse scenarios in the wild. The technology developed at Algolux is deployed at scale in vehicles and camera solutions. We believe at interdisciplinary research at Algolux and candidates will be working with a diverse team of imaging, computer vision, optimization, physics, and optics experts. As part of this team we expect novel ideas to be published in major publications from time to time.
Sr. Research Scientist - Deep Learning & Computer Vision
JingChi Silicon Valley team is looking for a Camera Perception engineer to implement the next generation automotive vision and machine learning algorithms. Responsibilities: Participate in cutting edge research in computer vision. Develop novel real-time 3D scene reconstruction techniques and delivering accurate visual odometry systems. Apply machine learning to computer vision problems. Research and prototype techniques and algorithms for object detection and recognition. Develop robust software for integrating multiple source of sensors and tracking systems. Prototype hardware and software solutions for tracking, detection and modeling. Perform research that enables modeling and tracking the human body Human body modeling, actively recognition, tracking
We are looking for high-quality self-motivated Computer Vision Scientist to manage our computer vision team in Shenzhen. Intellifusion is an AI unicorn startup located in Shenzhen, Seattle and Silicon Valley. It is one of the very few AI startups who earn profit in all calendar years. We are well funded, tech driven company and looking for outstanding researchers to empower our fast growing AI business.
Meituan-Dianping is a world leading life service platform, and Meituan Waimai is the largest on-demand food delivery platform in the world. Currently, we are facing a critical challenge to fulfill the delivery requirement of the rapidly increasing number of orders. To improve the delivery capacity, we will explore the robotic technologies to develop autonomous delivery vehicles. We are hiring for talents in the area of robotics, slam, navigation and deep learning. Requirement: 1. Master degree or above in computer science, robotics, automation or equivalent, PhD degree is highly preferred 2. Experience with algorithms such as SLAM, geometry localization, deep learning, planning and multi-sensor fusion. 3. Solid programming skills, C/C++/Python 4. Have strong passion in autonomous vehicle development and application
School of Computer Science and Engineering, Nanyang Technological University, Singapore has one Research Fellow opening in the areas of computer vision, machine learning and deep learning. This is a 12 months position. The position is extendable. The position involves designing and implementing computer vision and machine learning algorithms for face analysis. The candidate must have a PhD degree in Computer Science, Electrical & Electronics Engineering, or related disciplines. Fluency in Python and Matlab is required. Knowledge of machine learning, including deep learning, image processing, pattern recognition and computer vision is a must. Independent research experience and experience in developing and deploying algorithms are essential. Experience in publishing scientific papers in top quality conferences/ journals is also necessary. Knowledge of face image processing and image segmentation is a plus. Please send your CV to email@example.com with email title, “RF/RA application”
NTU, Singapore has one Research Fellow opening in the areas of computer vision, machine learning and deep learning. This is a 12 months position. The position is extendable. The position involves designing and implementing real time object detection methods for autonomous vehicle. PhD degree in Computer Science, Electrical & Electronics Engineering, or related disciplines. Hands-on experience with Tensor Flow, Keras, MXnet, Caffe, Torch, or other deep learning framework. Good knowledge in computer vision, machine learning and deep leaning, in particular those related to real-time object detection. Proficient with programming languages such as Python, Matlab, C++ and Open CV. If you only master degree and have related background, we will also consider your applications as a research associate. Please send your CV to firstname.lastname@example.org with email title, “RF/RA application”
As a Research Scientist at the Biometric R&D team located in Pasadena, California, you will be part of developing the next generation of biometric algorithms while pushing the boundaries of digital image processing, machine learning, biometric identification accuracy and speed for existing technologies in the areas of finger, palm, face, iris and other modalities. We are looking for candidates with: 1. Master's Degree in Computer Science, Electrical Engineering, Mathematics or a related field, PhD preferred; 2. 5+ years of R&D experience focused on Image Processing, Machine Learning, Computer Vision, and Statistical Analysis with solid publication records; 3. Strong experience in algorithm development, implementation, and validation with C/C++ on both Windows and Linux platforms.
Build innovative AI based automation solutions for Industry 4.0 using Aquifi’s proprietary 3D Computer Vision technology. Our small tight knit team has been working together for years on the merging of AI and 3D sensors. Come join us and let’s make it happen. Role Research, development and implementation of production quality computer vision and machine learning algorithms. Skills and qualifications - B.S/M.S. in computer science, electrical engineering, or related field - Solid mathematical and algorithmic background - Experience in computer vision (geometry, slam, tracking, stereo, 3D reconstruction, camera calibration) - C++ programming - Ability to work well on a team
Build innovative AI based automation solutions for Industry 4.0 using Aquifi’s proprietary 3D Computer Vision technology. Our small tight knit team has been working together for years on the merging of AI and 3D sensors. Come join us and let’s make it happen. Role - Research, development and implementation of production quality computer vision algorithms - Project scoping and development definition - Mentoring of less experienced developers Skills and qualifications - B.S/M.S. in computer science, electrical engineering, or related field - Ph.D. in computer vision or machine learning - Solid mathematical and algorithmic background - Advanced experience in computer vision (5+ years) - Extensive knowledge of computer vision (geometry, stereo, 3D reconstruction, tracking) - Machine learning - C++ programming (5+ years) - Ability to work well on a team
MicroTraffic is a leading provider of microscopic traffic data for road safety engineers. Our technology is based on computer vision, video analytics, machine learning, predictive modelling, and the safe systems philosophy. We help traffic engineers apply surrogate safety methods for proactive decision making. As a member of the MicroTraffic software team you will help design and implement the next generation of our software to extract object trajectories from traffic video. The ideal candidate will be an expert software developer with a specialization in applying computer vision algorithms to tracking problems.
We are looking for a talented deep learning engineer with computer vision experience to join our small but fast growing team. Ubiquity6 is assembling one of the world’s largest datasets of 3D mapping data, and want you to help us learn from it. You will have ownership of a broad mandate of novel 3D deep learning techniques, with applications in semantic segmentation, 3D object classification, pose estimation, geometry prediction, and more. Responsibilities - Implementing novel algorithms in standard research-oriented frameworks of your choosing (PyTorch, MXNet, etc) - Developing new approaches to solve the problem of deep learning on fundamentally 3-dimensional inputs
Expedition Technology Inc. (EXP) is seeking strong candidates from junior through senior levels, with 2+ years experience with machine learning approaches and concepts, particularly deep learning. Experience in some of the following areas is very useful: * Computer vision * Pattern recognition * Deep learning * Navigation * Radar * Lidar * Advanced image and video processing * Data science and analysis Successful applicants will support a range of programs and roles, potentially including a combination of conceptual R&D, product development, project management, team leadership, customer engagement and new business development. Occasional travel may be required. Candidates must have a Bachelor’s degree or equivalent in a relevant field of study. Advanced degrees are strongly preferred. US Citizenship is required, as is the ability to acquire a security clearance.
To give our customers a bird's-eye view of their wind turbines (and soon many more assets) we need to review thousands of images and find damages and defects in them. We are looking for an AI Developer to build Artificial Intelligence that does this fully automatically.
We are looking for exceptional individuals to build our vision, to shape, develop and validate our world-changing software and to deliver it into the most exciting market for ML and AI. You’ll earn a good market salary and benefits include private health cover and the possibility of company pension contributions. But this is also a rare opportunity to acquire start-up stock options in a future global leader. You’ll be responsible for designing and building both supervised and unsupervised learning technologies to parse objects and determine their state as far as it is relevant to driving decisions. States might include object classifications, traffic signal states, orientations, wheel angles and human actions.
We are looking for a full time Research Engineer to join our radar imaging algorithms team. The candidate will contribute to the development of novel radar imaging algorithms.
A 3-month PhD internship is available at SRI international, NJ (https://www.sri.com/). The topic spans computer vision, machine learning, artificial intelligence and human factors. Based on the intern’s expertise, publications to top-tier venues such as CVPR, ECCV, NIPS, ICML and AAAI will be targeted during this internship. To complete these missions in 3 months, the intern is required to have - Profound experiences on Python with Tensorflow and C++ - Knowledge of computer vision including projection geometry and machine learning
Baidu USA, located in Silicon Valley, is looking for world-class engineers to join its IDG team a.k.a Intelligent Driving Group. The IDG team is aiming to develop advanced autonomous driving technologies which will let us transform mobility and improve the lives of billions of people. We are looking for a scientist/engineer with the strong computer vision and machine learning background to build one of the advanced autonomous driving systems in the world. He or she will be pushing the autonomous driving system from prototype towards volume production. Here's what you will do: o Work with world-class talented group of software engineers and scientists to design and implement cutting edge autonomous driving technologies. o Train machine learning and deep learning models on a computing cluster to perform visual recognition tasks, such as segmentation and detection. o Enjoy access to large scale autonomous driving proprietary data, run experiments, learn, iterate, and ship
Adobe Research is looking for full-time scientists and engineers who are excited to advance the state of the art in technologies of interest to Adobe and the research community at large: Computer Graphics; Computer Vision and Image Understanding; Advanced Image Processing; Computational Imaging; Audio; Video; HCI and Social Computing; 3D Modeling and Rendering; 3D Scanning and Appearance Acquisition Hardware and Algorithms; Computational Photography and Next Generation User Experiences; Machine Learning; Pattern Recognition; Natural-Language Processing and Interfaces; Virtual Reality Systems; Artificial Intelligence; Security; Information Visualization; Programming Languages; Statistical Modeling and Inferring; Information Retrieval; Large Scale Distributed Systems and Cloud Computing; Econometrics and Quantitative Marketing; Applied Game Theory and Mechanism Design; Web Analytics; Data Science; Operations Research and Optimization.
We are hiring a Research Scientist / Research Engineer with passion and experience in computer vision and deep learning to our video-intelligence group. Our group is working on extremely challenging research and engineering problems for large scale live and on-demand video understanding using state-of-the-art technologies. Our work includes video enrichment, discovery, personalization, augmented-reality and more. This is an exciting opportunity to apply your computer vision skills to the over 10 terabytes of data that we capture every day. If you or someone you know are interested in revolutionizing TV and video on-demand with AI - please contact me directly.
Ambarella is looking for computer vision and deep learning engineers to work on our next-generation computer vision chips and develop advanced autonomous driving technologies.
In this 3-6 month paid PhD internship you will have the opportunity to work on research in a startup environment. We are looking for curious and enthusiastic computer vision scientists who are keen on working on moonshot projects. You will have access to the powerful cloud infrastructure of Scape Technologies and work autonomously under the supervision of renowned computer vision researchers. You will be expected to work towards the submission of a high quality conference paper at a top conference.
Postdoctoral research positions in biomedical imaging. We have multiple postdoctoral opportunities to advance new solutions in cardiovascular and ophthalmological biomedical imaging using computer vision and machine learning approaches. Trainees will have an opportunity to join and learn from the wide ranging biomedical imaging community at Case Western Reserve University which includes the Center of Computational Imaging and Personalized Diagnostics (CCIPD), the Case Center for Imaging Research (aka, the Disneyland of Imaging), and Interactive Commons. Successful applicants should have a background in computer vision and imaging and have a desire to work on biomedical applications. Please contact us for more information. In employment, as in education, Case Western Reserve University is committed to Equal Opportunity and World Class Diversity
Title: Semantic segmentation with minimal supervision The goal of this PhD is to study semantic segmentation in images or video with minimal supervision. This call is part of Inria's PhD positions program as published at http://www.inria.fr/en/institute/recruitment/offers/phd/phd-positions. The positions are highly competitive: only a limited number will be funded depending on the quality of applications. Application Instructions: Candidates are requested to send an initial expression of interest to Miaojing Shi (email@example.com) and Yannis Avrithis (firstname.lastname@example.org) before April 15, 2018. For more details on the PhD subject, conditions for application, timetable, and access to online application, check https://jobs.inria.fr/public/classic/en/offres/2018-00604
The Software Engineer Intern will join our research development team. As a member, they will be responsible for assisting in the development of the framework our company will use for implementing new geospatial data extraction techniques in products and solutions for our different market verticals. This person will work closely with our researchers and other subject matter experts to help move exciting new imaging and computer vision technologies out of the lab and into our products. We are looking for a candidate who will enjoy working as part of a group and is enthusiastic about making a difference in the future of our company
UtopiaCompression Corporation (UC), based in Los Angeles, CA is a High-Tech Company with considerable expertise in intelligent software solutions. UC develops cutting edge technologies: • Computer vision and machine learning for Unmanned Aircraft, maritime surveillance, affective computing, robotics • Planning and control for autonomous systems • Tactical wireless communication networks • Human Computer Interaction for autonomous systems • Deep Neural Networks based Intelligence • Biomedical signal processing and data mining • Intelligent Tutoring Systems UC offers a challenging and exciting environment to work on high-risk high-reward technologies with the potential to bring in transformational changes to state-of-the-art. UC is currently seeking a Senior Computer Vision scientist to support its vision technology program. US citizens and permanent residents are preferred.
UtopiaCompression Corporation (UC), based in Los Angeles, CA is a High-Tech Company with considerable expertise in intelligent software solutions. UC develops cutting edge technologies: • Computer vision and machine learning for Unmanned Aircraft, maritime surveillance, affective computing, robotics • Planning and control for autonomous systems • Tactical wireless communication networks • Human Computer Interaction for autonomous systems • Deep Neural Networks based Intelligence • Biomedical signal processing and data mining • Intelligent Tutoring Systems UC offers a challenging and exciting environment to work on high-risk high-reward technologies with the potential to bring in transformational changes to state-of-the-art. UC is currently seeking a Computer Vision R&D Engineer to support its vision technology program.