Computer Vision Engineer
Accenture Federal Services, a wholly owned subsidiary of Accenture LLP, is a U.S. company with offices in Arlington, Virginia. Accenture's federal business has served every cabinet-level department and 30 of the largest federal organizations. Accenture Federal Services transforms bold ideas into breakthrough outcomes for clients at defense, intelligence, public safety, civilian and military health organizations.
Computer Vision Engineer position. Solving unique client problems using computer vision (CV) and will be responsible for supporting the design, analysis, and development of high-performance deep learning algorithms. Required to support modeling, fine-tuning ML algorithms for computer vision models. You will have opportunities to work on advanced CV R&D projects and publish research results in top-tier CV venues (CVPR, ICCV, ECCV, WACV, NeurIPS).
Here's what you need:
* Excellent skills with Python, Tensorflow, PyTorch, and/or Keras
* Experience developing Computer Vision specific systems (multiple domains)
* Domain expertise in specific areas of computer vision: object detection, image classification, etc.
* Master's degree in electrical engineering, computer science or related fields.
* Required coursework (one or more): Image processing, computer vision, deep learning, machine learning
* US citizenship required; dual citizens not eligible
Bonus points if you have:
* Unix/Linux experience (Debian/RHEL) and comfort with basic shell operations
* Excellent documentation habits to include code documentation, technical papers, readme files, etc.
* Experience working with structured and unstructured data (point clouds, raster/vector geospatial data, images, and videos, etc.)
* Ph.D. degree in electrical engineering, computer science or related fields.
Computer Vision Scientist / Engineer
Imagine what you could do here! At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning techniques with next-generation hardware, our teams take user experiences to the next level.
At Apple, you will use your deep understanding of machine learning and artificial intelligence to tackle meaningful technical problems, collaborate with the most innovative product development teams in the world, and transfer your ideas into solutions in the next generation of Apple products. You will perform fundamental research by defining, designing, implementing and evaluating algorithms involving unrivaled data and objectives. You will also actively engage with the academic community by collaborating with universities, publishing and presenting your work, and attending conferences.
Apply here: http://bit.ly/apple-cvpr2021
Senior Researcher in Computer Vision
The Institute of Systems and Robotics – Coimbra (ISR-UC) is seeking a high-qualified, self-motivated Computer Science Researcher in the areas of Computer Vision to join the Computer Vision group, particularly the VisTeam. The team (VisTeam stands for Visual Information Security Team) is focused on the application of Computer Vision to industry in a few areas such as Facial Biometrics, Machine-Readable Coding (2D barcodes), Steganography, by using conventional and deep learning tools. The team has a strong track record on patents and is being currently financed by the Portuguese Mint and Official Printing Office.
This vacancy is supported by the Visual-ID project. This project aims at researching and developing in the border of areas such as coding, biometrics, low-level vision, graphics and printer-proof steganography. The ultimate goal of this project is to develop algorithms to improve the quality of high-security printing products, whose outcomes can be used in products such as passports and other machine-readable travel documents, civil identification cards, excise and tax stamps, brand protection stamps, driver’s license, biometrics authentication systems and other security products, objects and systems.
The Senior Researcher will undertake the following main activities and responsibilities:
1- Lead the team (size of the team varies depending on necessity but is expected to be between 5 and 10 researchers/students);
2- Development of algorithms in the mentioned areas;
3- Co-supervise Master and PhD students;
4- Paper writing and management;
5- Reporting the results
Candidates should meet the following requirements:
1 - PhD Degree in Computer Vision, Electrical and Computers Engineering, Computer Science, Biomedical Engineering or any other relevant affine field;
2- Experience and Technical Skills;
3- Strong knowledge in Computer Vision;
4- Relevant knowledge in Machine Learning, and particularly Deep Learning;
5- Strong low-level development software skills (C/C++) and/or in Python;
6- Strong programming skills in standard machine vision tools (OpenCV, Tensorflow, Keras, among others);
1- Strong motivation to work both independently and as part of a team in an interdisciplinary environment, with the ability to pay close attention to detail and to meet deadlines;
2- Team work spirit;
3- Good communication skills;
4- “Hands-on” approach together with a high commitment in respecting working deadlines;
5- Highly organised and dynamic.
Excellent communication skills in English are required. The communication skills in Portuguese are considered but are not mandatory.
Duration of the grant:
The total duration of the grant shall be 24 months. An extension of 12 months is possible.
What we offer:
1- An annual scholarship up to 31800€, paid monthly (2650€/month);
2- The amount will depend on the level of expertise;
3- Work Accidents insurance costs to be paid by ISR-UC, to provide coverage for work accidents and invalidity benefits;
How to Apply:
1- The expression of interest must be sent by email to firstname.lastname@example.org
2- For the expression of interest to be valid it must be made in English or Portuguese.
Please enclose the following supporting documents in pdf format:
(a) Cover letter in English;
(b) Curriculum Vitae in English;
ISR-UC promotes a non-discrimination and equal access policy, wherefore no candidate can be privileged, benefited, impaired or deprived of any rights whatsoever, or be exempt of and duties based on any possible discriminatory issues.
Senior/Lead Researcher, Computer Vision and Deep Learning
Comcast Applied AI & Discovery is an innovative research group within Comcast’s Technology & Product organization with offices in Washington DC, Philadelphia, Denver and Chicago that engages in groundbreaking research to re-invent customer experience for Comcast’s 22+ Million consumers using AI and machine learning.
The AI for Connected Living (CL) team under Comcast Applied AI & Discovery brings the Computer Vision and Deep Learning capability and delivers brilliant features to our connected living product. The vision of our team is to enhance our customers’ safety and connectivity in the home by creating smart home and internet experience with AI technologies. We are currently looking to hire a lead researcher with 3+ years of experience in conducting cutting-edge research in AI and Machine Learning applied to the connected living domain. The primary location is either in Philadelphia, PA, or Washington, DC. We feature an informal, open, fun atmosphere and cultivate a start-up culture with the backing of a Fortune 50 company.
Master’s degree in computer science, computer engineering, electrical engineering, mathematics, related technical subject area, or experience; Ph.D.
Strong publications on computer vision and deep learning, including but not limited to video analytics, object detection/recognition, and event/activity recognition. Candidates with top conference publications are preferred (e. g., ICCV/CVPR/ECCV/NIPS/ICML/ICLR)
Strong programming and software development skills, and familiarity with C/C++ or Python, and deep learning frameworks (Keras, TensorFlow, PyTorch, Caffe).
Prior experience working on delivering computer vision models for large scale production. Prior experience on designing models for edge devices or cloud or deploying computer vision models in a production scenario is preferred.
Research Associates (Postdoctoral positions) in Computer Vision
SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.
We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!
The successful candidates will join the Computer Vision, Machine Intelligence and Imaging (CVI2) headed by Prof. Djamila Aouada in order to carry out research in the general area of Computer Vision. Multiple positions are open.
CVI2 offers the opportunity to work on multiple projects (projects with industrial partners such as Lift-Me Off, ARTEC 3D and DataThings and/or national and international academic projects). All projects require conducting full scale experiments, including real-time implementation, data acquisition, training and validation at the SnT Computer Vision Lab. CVI2 is a young group composed of highly motivated and active members. Their work focuses on innovative research topics such as 3D shape modelling, 6DOF object pose estimation, human behavior understating, and deep learning and is disseminated in top-tiers venues.
Shaping research directions and producing results
Attracting funding in cooperation with industrial partners
Participating in proposal writing
Coordinating research projects and delivering outputs
Disseminating results through scientific publications
Providing guidance to PhD and MSc students
Participating to the teaching activities
Providing support in setting up and running experiments in the SnT Computer Vision laboratory
Proposing and implementing real-time solutions
Participating in organizing relevant workshops and demonstrations
A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field
Competitive research record in computer vision and/or image/signal processing focusing on one or more of the following topics:
Deep learning/machine learning
Experience with European projects (FP7/H2020), national/international projects and/or industrial project
Strong mathematical background
Experience with machine learning algorithms
Commitment, team working and a critical mind
Strong development skills in Python, Matlab or/and C++
Familiarity with deep learning frameworks such as Pytorch and Tensorflow
Fluent written and verbal communication skills in English are mandatory
Here’s what awaits you at SnT
A stimulating learning environment. Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT researchers, giving you solid guidance
Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better
The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 45 industry partners
Multiple funding sources for your ideas. The University supports researchers to acquire funding from national, European and private sources
Competitive salary package. The University offers a 12 month-salary package, over six weeks of paid time off, health insurance and subsidised living and eating
Be part of a multicultural family. At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more
But wait, there’s more!
Complete picture of the perks we offer
Discover our Partnership Programme
Discover CVI2’s research activities
Contract Type: Fixed Term Contract
Job Reference: UOL03715
Start Date: as early as possible
Applications should be submitted online and include:
Contact Information of 2 referees
All qualified individuals are encouraged to apply.
Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by email will not be considered.
The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.
About the University of Luxembourg
The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary character. It fosters the cross-fertilisation of research and teaching, is relevant to its country, is known worldwide for its research and teaching in targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education. It`s core asset is its well-connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking up challenges and develop into visionary thinkers able to shape society.
Lead Computer Vision Engineer
Floorfy is a startup founded in Barcelona, Spain, and is the lead virtual tours software provider in south europe and south america offering a wide range of content for real estate companies and portals. We help realtors and buyers to reduce their time when selling or buying a property.
Currently we are in a growth phase and we are building a very competitive and motivated computer vision and deep learning team. The team mission is to develop cutting edge technology to improve our existing portfolio of products and develop new ones using our CV and AI platform.
We are looking for a passionate engineer or scientist in computer vision specialized in 3D algorithms to lead the development of our 3D reconstruction pipeline. You will not be alone and you will work closely with excellent engineers and report directly to our CTO while coordinating the deployment of the solutions with our Platform and DevOps team. If you are devoted to computer vision and deep learning this is a great opportunity to grow professionally!
- +3 years of experience in computer vision and software development
- Good level of python and ability to work with C++
- Knowledge of OpenCV
- Knowledge in building 3D reconstruction pipelines using wide range of techniques such multi-view stereo and structure from motion algorithms, SLAM, point cloud registration and mesh manipulation- +3 years of experience in computer vision and software development
What we offer
- Highly competitive salary!
- Flexible working hours and remote working
- Relocation package
- Paid trainings and attendance to conferences
- Opportunity to advance your payroll
- Nice offices in the center of Barcelona, Spain
Research Engineer, Mixed Reality and Computational Photography
Come invent the future. Facebook Reality Labs Research (FRL-R) brings together world-class experts to develop next generation systems for virtual, augmented and mixed reality experiences. We are currently seeking a skilled research software engineer with a passion for technology to develop world-leading mixed reality technologies. The focus of this role is on 3D computational photography, and neural scene capture, reconstruction, and rendering. The position requires a combination of education and experience in 3D computer vision, computer graphics, and machine learning.
Research Scientist, Mixed Reality and Computational Photography
Come invent the future. Facebook Reality Labs Research (FRL-R) brings together world-class experts to develop next-generation systems for virtual, augmented and mixed reality experiences. We are currently seeking a Research Scientist with a passion for technology to develop world-leading mixed reality technologies. The focus of this role is on 3D computational photography, computational imaging, and neural scene capture, reconstruction, and rendering. The position requires a combination of experience in 3D computer vision, computer graphics, and machine learning. The ideal candidate would be able to begin employment by early 2022.
Scientist in Computer Vision and Action Recognition
A*STAR is a publicly funded research organization in Singapore.
We are looking for an excellent research scientist with a background in Computer Vision and Machine learning to work on human action anticipation and human-object-interaction for assistive robotics under NRF-AI Singapore funded project titled “The “Other Me: Human-Centered AI Assistance In Situ”. The scientist has to work independently to make scientific progress in human action anticipation, and human-object-interaction for assistive robotics in both theoretical and application aspects. Candidate will have the opportunity to collaborate with other partner Universities from Singapore (e.g. NUS). Prior work on human action recognition and anticipation is a plus.
1. PhD degree in Computer Vision or Machine Learning (or related discipline) with a strong track record in CVPR, ECCV, ICCV, NIPS, ICML, WACV, ICLR, AAAI, IJCAI or journal papers in IEEE TPAMI, IJCV, Pattern Recognition, IEEE TIP and related. Fresh PhDs with a track record of the above mentioned are encouraged to apply.
2. Strong programming skills in python (Pytorch, Tensorflow)
3. Excellent computer vision and machine learning skills are required.
You can directly apply for this position here
Computer Vision Engineer
Loko AI is pioneering Autonomous Systems, Computer Vision and Synthetic Data. Our proprietary platform takes any video input and instantly provides actionable insights for risk management, security, surveillance, public safety and automation. Loko AI is located in sunny Irvine California – America’s Safest City for its size. Our team comes from top Universities, Fortune 500 Companies, and Hollywood Studios.
The Engineering Team is searching for an experienced Computer Vision Engineer to contribute in developing the next generation of our vision-based platform. The Computer Vision Engineer designs and implements novel deep learning methods (including generative models and motion-aware analysis) for recognition and prediction in multiple spectrums using different sensor types for commercial applications. For the right candidate, this is a fantastic opportunity to start as a core team member of a fast-growing, pioneering AI startup with patented proprietary technology.
This extraordinary person is a master problem-solver with gifted engineer skills who thrives in a fast-paced production environment. The ideal candidate is multi-faceted and brings a lot of different skills to the table. We’re looking for someone who is resourceful, upbeat, is passionate about learning and accepting of new challenges and has a champion-level mindset. To be successful in this role, you should have master-level programming skills, have great time management skills and be able to act without guidance. Ultimately, you will contribute to the efficiency of our business by providing production ready code for our commercial applications. This position is full-time, and a background security check is required, $115,000 - $155,000 USD per year salary and benefits.
Designs and implements deep learning methods for generative models, motion aware video analysis and reinforcement learning
Ability to take a model from ideation through to commerical production
Work with engineering, design, operations and marketing and other teams to optimize and execute our commercial software deployment
Mentor junior engineers
MS Degree or higher or equivilent
3+ years professional Computer Vision Engineering work experience in a commercial production environment
Strong knowledge of Python and deep learning platforms (e.g., PyTorch and Tensorflow)
Homographic adaptation and multiple view geometry experience
Demonstrated experience with architecting and developing deep neural networks
In-depth understanding of fundamental computer vision algorithms and technologies (e.g. OpenCV, Jupyter, YOLOv5, etc)
Experience working with minimum supervision and leading multiple projects simultaneously involving various groups/locations/vendors
English Language skills both written and verbal
Security background check required
Please apply with cover letter and CV to: email@example.com
Job Type: Full-time with Equity Package, Flexible PTO and Health Benefits.
Research Scientist, Computational Photography and Image Processing for AR (PhD)
We are seeking a Research Scientist to support development of state-of-the-art deep learning algorithms for Computational Photography and Image Processing for AR/VR systems. In this role, you will be researching and developing technologies from early research concepts to products across Facebook's AR and VR products. You will be setting research directions for the projects you work on and will have the opportunities to collaborate with other researchers across Facebook AI.
The ideal candidate will understand the state-of-the-art algorithms in the area of Computer Vision and/or Computational Photography, as well as how to build efficient Machine Learning models using those algorithms to run on-device. This is a full-time position.
Enable enhanced image and video quality for AR/VR via innovative applications of Deep Learning techniques to problems such as Depth Estimation, Image Denoising, Super-Resolution, HDR, etc.
Enable new user experiences using novel image understanding and synthesis methods based on Deep Learning
Collaborate with cross-functional research and product teams in Computer Vision, Graphics and Machine Learning
Design extremely efficient deep learning models that can run on head-mounted devices within limited compute and power budget
Publish and present research at leading AI conferences and workshops
Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Machine Learning, Artificial Intelligence, Computer Vision or similar
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
1+ years hands-on experience in deep learning algorithms and techniques, e.g., convolutional neural networks (CNN), recurrent networks (RNN) and/or related areas
Interpersonal experience: cross-group and cross-culture collaboration
2+ years of industry or university experience in projects in areas such as computational photography and/or computer vision
Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, CVPR, ECCV, ICCV, or similar
Research Scientist, Virtual Humans - High Fidelity Face Reconstruction (PhD)
Facebook Reality Labs (FRL) is a world leader in the design of virtual and augmented reality systems. We are currently seeking innovative researchers with a passion for technology to develop the next generation of virtual humans. The focus of this role is on facial performance and appearance capture, reconstruction and rendering. The position requires a combination of education and experience in computer vision, computer graphics, physics simulation and machine learning.
Plan and execute cutting-edge research to advance the state-of-the-art in virtual humans.
Develop new advanced technologies related to the generation of convincing virtual humans, like dense 3D surface reconstruction, photorealistic capture and rendering methods, statistical deformation models, human biomechanics, markerless motion capture or physics-based simulation.
Formulation of new machine learning, analysis, and simulation approaches for virtual humans.
Collaborate with other researchers, engineers, and 3D artists to prototype hardware and software solution, experiments and concepts that advance the entire project.
Currently has, or is in the process of obtaining, a PhD in Computer Graphics, Computer Science, Physics or Machine Learning, or related field.
Experience in character generation, including deformable geometry, photorealistic rendering, anatomical motion or physically-based simulation and animation.
Experience in using machine learning for solving graphics problems.
Experience with machine learning and deep learning tools (e.g. PyTorch, numPy).
Interpersonal experience: cross-group and cross-culture collaboration.
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Proven track record of achieving significant results as demonstrated by grants, patents or fellowships, as well as first-authored publications at leading workshops or conferences such as CVPR, EGSR, ECCV/ICCV, SIGGRAPH, NeurIPS, etc.
Experience with character generation for high-end VFX and/or video game applications.
Experience with machine learning and state-of-the-art deep learning models (CNN, VAE, GAN) and differentiable rendering.
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
Experience with designing real-time systems in C++.
Harvard Postdoctoral Fellowship in Machine Learning Modeling for Eye Diseases
A postdoctoral position is available in Harvard Ophthalmology AI Lab (https://ophai.hms.harvard.edu) under the supervision of Dr. Mengyu Wang (https://ophai.hms.harvard.edu/team/dr-wang/) at Schepens Eye Research Institute of Massachusetts Eye and Ear and Harvard Medical School. The start date is flexible, with a preference for candidates capable of starting in September 2021. The initial appointment will be for one year with the possibility of extension. Review of applications will begin immediately and will continue until the position is filled. Salary for the postdoctoral fellow will follow the NIH guideline commensurate with years of postdoctoral research experience.
In the course of this interdisciplinary project, you will collaborate with a team of world-class scientists and clinicians with backgrounds in visual psychophysics, engineering, biostatistics, computer science, and ophthalmology. You will work on developing statistical and machine learning models to improve the diagnosis and prognosis of common eye diseases such as glaucoma, age-related macular degeneration, diabetic retinopathy. You will have access to abundant resources for education, career development and research both from the Harvard hospital campus and Harvard University campus.
The successful applicant will:
1. possess or be on track to complete a PhD or MD with background in mathematics, computational science, computer science, statistics, machine learning, computer vision, image processing, biomedical engineering, visual science and ophthalmology or a related field. Fluency in written and spoken English is essential.
2. have strong programming skills (C++, Python, R, MATLAB, etc.) and in-depth understanding of statistics and machine learning. Experience with Linux clusters is a plus.
3. have a strong and productive publication record.
4. have a strong work ethic and time management skills along with the ability to work independently and within a multidisciplinary team as required.
Your application should include:
1. curriculum vitae
2. statement of past research accomplishments, career goal and how this position will help you achieve your goals
3. two representative publications
4. contact information for three references
The application should be sent to Mengyu Wang via email (mengyu_wang at meei.harvard.edu) with subject "Postdoctoral Application in Harvard Ophthalmology AI Lab".
Experts of generative model are needed
The Central Media Technology Institute of the Laboratory in 2012 is Huawei's media technology innovation and engineering capability center, responsible for the technical competitiveness of products in the media field. Faced with the challenges and opportunities of customers, industry and company's future business, it will continue to focus on technological research, innovation and breakthroughs in the media field (photography, audio, video, AR&VR, codec standards etc.) to ensure that the company's core competitiveness of media products continues to lead and support the company's long-term business success.
The Central Media Technology Institute has set up R&D centers and professional laboratories in seven overseas countries such as Japan, North America and Europe, as well as domestic R&D centers in Shenzhen, Hangzhou, Beijing, Shanghai, Xi'an, etc. In the field of mobile phone photography, audio, video, AR&VR, codec standards and other technology, Huawei is in the leading position in the industry, supporting Huawei to become the leader of mobile devices and ICT industry.
Our vision is to bring digital to every person, home and organization for a fully connected intelligent world. The recruitment of the Central Media Technology Institute involve mobile phone photography, audio, video, AR&VR and other media fields. We are gathering the world-recognized researchers, pioneers and explorers in the field from the top-tier academic and industrial organizations.
Ideally you are currently in a pioneer scientist / technologist leadership position within industrial or academia research and development organisation, you are a passionate scientist / technologist in the area of image / video generation and edition technologies and have a track record of delivering next image / video edition. You have demonstrated ability to envision the future and have the technical leadership skills to drive concept through to product roadmap impact. You have good contribution of technology partnerships with industrial and academic community.
- Responsible for the construction of technological competitiveness in the field of image / video generation and edition in Huawei, building the key selling points and technological breakpoints, enabling ordinary consumers to create masterpieces and support the great business success of products;
- KPI: Assessment of key indicators
- 1,Responsible for the generation and edition technology scheme;
- 2,Create Huawei generation and edition technology to support great business success of products including terminals and clouds.
Work experience & Professional profile
- Eight years+ relevant working experience in the media field. Systematic understanding of image / video generation and edition technology in the industry.
- Experience in product development, familiarity with industry resources, innovative thinking, and ability to grasp the direction of technology and business development trend.
Key technical skillset:
- 1, Have a profound background and knowledge in both fields of image / video generation and edition;
- 2, Familiar with computer vision and image graphic to make the generated images or videos reality;
- 3, With the software architecture and algorithm has good foundation;
- 4, Propose creative ideas of related technology development and clear direction to monetize the business.
Education and soft skills:
- M.Sc.(Eng.) or Ph.D. degree in Computer Science or related field.
- Fluency in English (written and spoken).
- Excellent intercultural communication and coordination skills.
- Excellent leadership and influencing skills.
PhD position - Learning from limited labels
We are seeking a PhD Fellow to take an active role in the group's research on developing novel machine learning/computer vision methodology. Special focus in this project will be on developing novel approaches for learning from limited labeled data, such as few-shot/zero-shot/semi-supervised /self-supervised learning, domain adaptation, and/or deep clustering.
The position will be part of the already ongoing effort to design deep learning methodology for limited labeled data and will synergize well with some of our recent work [1-3].
The successful candidate will join the UiT Machine Learning Group, a vibrant group at the "north pole", with excellent national and international connections.
For details, please see: https://www.jobbnorge.no/en/available-jobs/job/206309/phd-fellow-in-mac…
Please contact Michael Kampffmeyer for more info.
 Trosten, D. J., Løkse, S., Jenssen, R., & Kampffmeyer, M. (2021). Reconsidering Representation Alignment for Multi-view Clustering. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021.
 Nguyen, N., Løkse, S., Wickstrøm, K., Kampffmeyer, M., Roverso, D., & Jenssen, R. (2020). SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks. In Proceedings of the European Conference on Computer Vision 2020.
 Kampffmeyer, M., Chen, Y., Liang, X., Wang, H., Zhang, Y., & Xing, E. P. (2019). Rethinking knowledge graph propagation for zero-shot learning. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2019.
Postdoctoral Fellow and Research Scientist
Description: Several Postdoctoral Fellow and Research Scientist positions in advancing brain MRI analysis, including developing deep learning predictors and embedding their findings within a neuroscientific context, are available immediately at the Computational Neuroscience Lab (http://cnslab.stanford.edu), Stanford University. The successful candidate will contribute to research and development in the coherent and robust multi-modal analysis of longitudinal brain MR images collected across multiple sites. The research projects are funded by the NIH, such as the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA; 5K MRI sessions). The researcher will work in a multidisciplinary research environment closely collaborating and publishing with imaging, computer, and neuroscientists at Stanford University and SRI International.
Qualifications: We are seeking highly motivated individuals who have demonstrated academic excellence, including publications in first-class journals and conferences. Successful candidates should have a PhD (or equivalent) in Computer Science, Neuroscience, or related field. The applicant can either be an expert in machine learning, deep learning, and statistical methods for medical image analysis, or an individual with a strong background in computational or system neuroscience. Expertise in DTI or fMRI is a plus.
Research Scientist - Computer Vision
Adobe Digital Experience Cloud’s mission is to transform how businesses compete through next generation digital experiences. At the Media and Data Science Research (MDSR) lab, we work on fundamental and applied research problems relevant to the Experience Cloud. Our research areas span Computer Vision, Natural Language Understanding and Data Science. We also work on foundational questions related to AI and allied mathematical areas. We publish at top machine learning conferences and also work with the product teams to turn our research into impactful product features.
We are looking for a Computer Vision Researcher with a strong track record of publications in top tier conferences to define and lead research areas that will transform visual experiences for the customers of Adobe’s Experience Cloud. Job responsibilities include developing and leading research areas, publishing in top conferences and journals, working with product teams to turn the research advances to impactful product features and to collaborate with academic labs.
Desired Qualifications and Skills
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our outstanding Check-In approach where feedback flows freely. If you’re looking to grow your career, Adobe’s the place for you. Discover what our employees are saying about their career experiences through the Adobe Life magazine.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status.
Senior Software Engineer, Video Content Creation
Kuaishou maintains the desire of developing next-generation technologies that change the way how videos are made. We want to help creators to make videos more effectively and reach more audiences than ever before.
● Explore and develop algorithms to understanding a massive scale of materials on multiple modalities (image, video, text, audio).
● Explore and develop algorithms in material shuffling, content matching, and intelligent creation to help generate diverse videos serving the purpose of smart ad generation and smart video mixing, cooperate with the Commercialization Department and the Overseas Department.
● Optimize video generation techniques based on user interest analysis and video content analysis
● Develop technical routes and data analysis closely with business requirements. Keep push develop practical algorithms and implementing the algorithm into actual products;
● Familiar with algorithms in modalities of image, video, audio, and text, including but not limited to areas of image/video understanding, detection, segmentation, OCR, face recognition, asr, text generation.
● Experience with software development using python/c++, have successful project experience
● Experience with at least mainstream frameworks, such as TensorFlow, PyTorch, and MXNet.
● Interest in following the development trend of cutting-edge technology in the industry, tracking the latest algorithm.
● Good at solving complicated problems cross different techniques
● Excellent verbal communication skills with technical and business teams
● Ability to fast understanding domain knowledge in new scenarios
● Demonstrated experience to manage an industrial research team
● Experience with one of the following areas is a plus, search, gan, computer graphics
Senior Software Enginner, OCR/Face/Pedestrian
As an engineer in Kuaishou, you will be directly responsible for developing video understanding algorithms with techniques of computer vision, NLP, and multimodality fusion to help and promote user experience in content safety, recommendation, and search
● Develop OCR algorithms for text detection, text recognition, and multi-language recognition, and others
● Develop Face/Pedestrian Recognition algorithms for face recognition, face attributes, face liveness detection, human body keypoint detection, pose estimation, and others
● Participate in cutting edge research, analyze cutting edge algorithms and apply to practical problems, give guidance to business
● Master's of Science degree in Engineering or equivalent practical experience
● Tracking the record of publications at AI conferences (ECCV, ICCV, CVPR, and others) is a plus.
● Interest in video understanding areas and experience in applied areas
● Deep understanding of deep learning theories and practical application
● Experience with software development using java, c/c++, c# or python
Senior Algorithm Engineer, Machine Learning
● Responsible for data mining and analysis of Kwai's video copyright protection, apply NLP, behavior sequence mining, multimodal fusion, graph mining, and other technologies to improve Kwai's video copyright protection effect and experience.
● Responsible for the research and development of machine learning algorithms, including video fingerprinting, video classification, object detection, action recognition, graph mining, multimodal fusion, etc.
● Responsible for the research of frontier topics in machine learning, continuously optimize and maintain advanced technology, improve and implement state-of-the-art methods to obtain online business revenue, maintain independent innovation.
● Good coding and code control ability, solid data structure, and algorithm skills.
● Excellent ability to analyze and solve problems, able to find key features from massive data.
● Familiar with Linux development environment, familiar with Python/Java/C++, familiar with Hadoop-related open-source components: Hive/Spark/Storm, etc.
● Large-scale data mining and machine learning experience are preferred.