Urgent: Full-time Post-doc needed to complement our vision team in detecting manipulated videos.
Duration: 1 year, renewable for a 2nd year.
Must be willing to re-locate to Singapore. Key expertise needed: Speech recognition.
DroneDeploy is the leading enterprise-grade drone data platform for managing complex job sites. Trusted by brands globally, we have over 5,000 customers across 200 countries. Our software automates everything from flight to insight, making the power of drone data accessible and productive for everyone. We’re transforming data collection across a variety of industries, including energy, construction, and agriculture, enabling teams to survey large areas and make informed decisions quickly, safely, and accurately. Recognized as a Best Place to Work nationally and locally, we have a winning culture where our employees span across the globe and are empowered to think big to meet our customer’s current and future needs.
We are a small team of highly skilled computer vision developers working on an industry-leading photogrammetry platform used by customers all around the world. We have two core photogrammetry products: a real-time aerial mapping solution and a cloud-based scalable image processing platform that efficiently processes drone imagery to georeference, align, stitch, blend, orthorectify and reconstruct - creating thousands of point clouds, 3D models, and mosaics every day. Our customers have mapped over 150M acres from over 180 countries around the world, relying on our industry-leading speed, quality, and accuracy to drive high ROI decisions in industries as diverse as construction, agriculture, mining, conservation, forestry, and infrastructure inspection. We are looking for highly motivated computer vision experts who are excited to work on hard problems and driven to build the future of aerial mapping here at DroneDeploy.
Drive significant improvements in speed and quality from conception to production rollout and ongoing support
Take ownership of large areas of our existing photogrammetry pipeline
Stay up to date with the latest research in computer vision and machine learning as applied to the problems we solve
Develop and deploy high-quality unit-tested, production photogrammetry software
Collaborate closely with team members to solve tough computer vision problems
Drive efficiency through metrics and automated quality assessment
Strong academic foundations from a competitive university/laboratory, with a focus on photogrammetry (M.S./Ph.D. preferred)
At least five years of experience working in applied photogrammetry technology.
At least five years of experience developing in C++
Strong track record of developing, deploying, and supporting computer vision products to customers
Strong applied math skills in linear algebra, 2D/3D geometry, and numerical methods (polynomial/Fourier approximations, ordinary differential equations, linear & non-linear optimizations, error analysis, etc)
Experience with multi-view stereo algorithms, including depth map & mesh generation
Experience with structure-from-motion algorithms covering central/non-central camera models, bundle adjustment
Experience with 3D graphics and visualization
Practical experience with SLAM / real-time computer vision techniques a bonus
Practical experience developing, training, and deploying machine learning to solve computer vision problems a bonus
We believe in a global work environment that empowers everyone to explore, grow, and make a meaningful impact. We’re recognized as the # 1 Best Place to Work in the SF Bay Area (SF Business Times), made the Top 200 list of America's Best Startups (Forbes) and we work hard to maintain recognition status. Our team is creative, motivated, and committed to providing our customers the best drone software in the industry. We take feedback seriously, act with integrity, and constantly strive for improving our processes, benefits, products, and invest in our people.
Flexible work schedules
Remote-friendly positions
100% paid healthcare coverage for employees
$1,000 development reimbursement
$600 well-being reimbursement
Monthly remote-utility stipend
Flexible paid time off
Parental paid leave
Weekly virtual fitness classes
Employee referral bonus
Commuter savings
DroneDeploy is an equal opportunity employer.
All DroneDeploy employees are responsible for assisting in protecting the company and customer data by following information security policies and procedures
DroneDeploy is the leading enterprise-grade drone data platform for managing complex job sites. Trusted by brands globally, we have over 5,000 customers across 200 countries. Our software automates everything from flight to insight, making the power of drone data accessible and productive for everyone. We’re transforming data collection across a variety of industries, including energy, construction, and agriculture, enabling teams to survey large areas and make informed decisions quickly, safely, and accurately. Recognized as a Best Place to Work nationally and locally, we have a winning culture where our employees span across the globe and are empowered to think big to meet our customer’s current and future needs.
We are a small team of highly skilled computer vision developers working on an industry-leading photogrammetry platform used by customers all around the world. We have two core photogrammetry products: a real-time aerial mapping solution and a cloud-based scalable image processing platform that efficiently processes drone imagery to georeference, align, stitch, blend, orthorectify and reconstruct - creating thousands of point clouds, 3D models, and mosaics every day. Our customers have mapped over 150M acres from over 180 countries around the world, relying on our industry-leading speed, quality, and accuracy to drive high ROI decisions in industries as diverse as construction, agriculture, mining, conservation, forestry, and infrastructure inspection. We are looking for highly motivated computer vision experts who are excited to work on hard problems and driven to build the future of aerial mapping here at DroneDeploy.
Drive significant improvements in speed and quality from conception to production rollout and ongoing support
Take ownership of large areas of our existing photogrammetry pipeline
Stay up to date with the latest research in computer vision and machine learning as applied to the problems we solve
Develop and deploy high-quality unit-tested, production photogrammetry software
Collaborate closely with team members to solve tough computer vision problems
Drive efficiency through metrics and automated quality assessment
Strong academic foundations from a competitive university/laboratory, with a focus on photogrammetry (M.S./Ph.D. preferred)
At least five years of experience working in applied photogrammetry technology.
At least five years of experience developing in C++
Strong track record of developing, deploying, and supporting computer vision products to customers
Strong applied math skills in linear algebra, 2D/3D geometry, and numerical methods (polynomial/Fourier approximations, ordinary differential equations, linear & non-linear optimizations, error analysis, etc)
Experience with multi-view stereo algorithms, including depth map & mesh generation
Experience with structure-from-motion algorithms covering central/non-central camera models, bundle adjustment
Experience with 3D graphics and visualization
Practical experience with SLAM / real-time computer vision techniques a bonus
Practical experience developing, training, and deploying machine learning to solve computer vision problems a bonus
We believe in a global work environment that empowers everyone to explore, grow, and make a meaningful impact. We’re recognized as the # 1 Best Place to Work in the SF Bay Area (SF Business Times), made the Top 200 list of America's Best Startups (Forbes) and we work hard to maintain recognition status. Our team is creative, motivated, and committed to providing our customers the best drone software in the industry. We take feedback seriously, act with integrity, and constantly strive for improving our processes, benefits, products, and invest in our people.
Flexible work schedules
Remote-friendly positions
100% paid healthcare coverage for employees
$1,000 development reimbursement
$600 well-being reimbursement
Monthly remote-utility stipend
Flexible paid time off
Parental paid leave
Weekly virtual fitness classes
Employee referral bonus
Commuter savings
DroneDeploy is an equal opportunity employer.
All DroneDeploy employees are responsible for assisting in protecting the company and customer data by following information security policies and procedures
Interested in working in the energetic environment of a startup that will change the way agriculture is done worldwide? Join a team of experts in flight operations, computer vision, machine learning, and robotics and make your dream come true.
Intelinair delivers actionable intelligence from aerial data (drones, aircraft, satellite) for quick decision-making in mission critical applications.
We deliver precision imaging and real-time data analysis to solve the most challenging problems. Intelinair currently has an exciting opportunity for a GIS Engineer to join our Research & Development team and help us build the integrations to expand our solution for agriculture. This past year, our team’s work has led to publications and talks at CVPR, AAAI, NeurIPS, Frontiers, NVIDIA GTC, and AI for Social Good. Location: Champaign, IL; Indianapolis, IN; Montreal, QC; Yerevan, Armenia; Remote.
RESPONSIBILITIES
• Develop geoprocessing models, GIS maps, and geospatial visualizations to support analyses
• Convert raw and unstructured data into GIS data (feature classes, shapefiles, tables, etc…)
• Write scripts to automate data collection and analysis
• Advise around sensor design and normalization
• Advise on best GIS-practices including data modeling and database organization, data ingestion and processing, and visualization.
• Keep communication between GIS, infrastructure, machine learning, and engineering teams.
• Mentor and advise more junior members and help foster best practices.
QUALIFICATIONS
• A Bachelor's degree in GIS or a related field
• 5+ years experience in Geographic Information Systems
• Expert knowledge of remote sensing data, processing, an analysis
• Significant experience with mapping tools such as ArcGIS suite of tools – ArcDesktop, ArcPro, ArcCatalog, AGOL and/or Portal; as well as QGIS
• Experience in applicable programming languages such as Python
• Strong project management practices and the ability to meet deadlines
• Good communication skills including the ability to translate technical information into plain language
We offer competitive pay and comprehensive benefits including:
● Basic health insurance plan
● Employee Stock Option Plan
● Paid vacation/holidays/day offs
● Paid Learning portals and training courses for your professional growth
● Career advancement opportunities.
Interested candidates can send their CV to jobs+gis@intelinair.com, subject - “GIS Engineer”.
Interested in working in the energetic environment of a startup that will change the way agriculture is done worldwide? Join a team of experts in flight operations, computer vision, machine learning, and robotics and make your dream come true.
Intelinair delivers actionable intelligence from aerial data (drones, aircraft, satellite) for quick decision-making in mission critical applications.
We deliver precision imaging and real-time data analysis to solve the most challenging problems. Intelinair currently has an exciting opportunity for a ML/CV Scientist to join our Research & Development team and help us expand our solution for agriculture. This past year, our team’s work has led to publications and talks at CVPR, AAAI, NeurIPS, Frontiers, NVIDIA GTC, and AI for Social Good. Location: Champaign, IL; Indianapolis, IN; Montreal, QC; Yerevan, Armenia; Remote.
RESPONSIBILITIES
● Build and deploy Machine Learning, Computer Vision, and Deep Learning models to solve real-world problems
● Engage in all elements of the ML Lifecycle: dataset construction, preprocessing and feature engineering, model building and optimization, and deployment
● Leverage incomplete and/or noisy data to reach a solution
● Identify the best approaches for a given problem which maximize both accuracy and efficiency and extend/improve current methods as needed
● Publish and patent as appropriate
● Collaborate with our agronomists, annotators, engineers, and other experts
● Mentor and advise more junior members and help foster best practices
● Support and work with cross-functional teams in our dynamic environment
QUALIFICATIONS
● A Master’s degree + 5yrs experience or PhD + 2yrs experience, in Computer Science, Computer Engineering, Physics, Machine Learning, Statistics, Mathematics, or a related field.
● Ability to manipulate large quantities of image data.
● Knowledgeable about current approaches and methods in the field and have the ability to implement those approaches in the necessary framework. Experience with domain adaptation and weakly supervised approaches is a plus.
● Strong communication skills: ability to explain complex technical issues to both technical and non-technical audiences
● We are looking for a candidate with real world experience in a Machine Learning Scientist role, who also have experience of using the following software/tools:
○ Experience with Deep Learning Frameworks (PyTorch, Tensorflow, Keras)
○ Experience with Machine Learning Frameworks (Sklearn)
○ Experience with programming languages (Python preferred), scripting languages, and version control
○ Experience with OpenCV or DLib frameworks is an advantage
○ Experience with other AWS services is an advantage
○ Experience with Docker is an advantage
○ Experience with GIS data and images is an advantage
We offer competitive pay and comprehensive benefits including:
● Basic health insurance plan
● Employee Stock Option Plan
● Paid vacation/holidays/day offs
● Paid Learning portals and training courses for your professional growth
● Career advancement opportunities.
Interested candidates can send their CV to jobs+ml@intelinair.com, subject - “ML Scientist”.
Interested in working in the energetic environment of a startup that will change the way agriculture is done worldwide? Join a team of experts in flight operations, computer vision, machine learning, and robotics and make your dream come true.
Intelinair delivers actionable intelligence from aerial data (drones, aircraft, satellite) for quick decision-making in mission critical applications. We deliver precision imaging and real-time data analysis to solve the most challenging problems. Intelinair currently has an exciting opportunity for an ML Engineer to join our Research & Development team and help us build the integrations to expand our solution for agriculture. This past year, our team’s work has led to publications and talks at CVPR, AAAI, NeurIPS, Frontiers, NVIDIA GTC, and AI for Social Good. Location: Indianapolis, IN; Champaign, IL; Montreal, QC; Yerevan, Armenia; Remote.
RESPONSIBILITIES
● Develop and maintain optimal data pipeline architecture.
● Prepare and process data for training with Machine Learning approaches.
● Optimize and deploy Machine Learning and Deep Learning models.
● Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
● Support the Machine Learning lifecycle by implementing processes for dataset creation, experimentation, reproducibility, and end-to-end workflow management.
● Support and work with cross-functional teams in our dynamic environment.
● Contribute to cutting edge solutions leading to publications and patents.
● Keep communication between infrastructure and machine learning/analytics team.
● Mentor and advise more junior members and help foster best practices.
QUALIFICATIONS
● Advanced degree in Computer Science, Computer Engineering, Physics, Mathematics, Statistics, or a related field.
● Solid knowledge of relational and non-relational databases.
● Experience building and optimizing data pipelines, architectures, and datasets.
● Experience of deploying ML models using PyTorch, Tensorflow or Keras frameworks.
● We are looking for a candidate with 3+ years of experience in an ML Engineer role, who also have experience of using the following software/tools:
○ Experience with AWS cloud services: EC2, RDS, SQS, S3.
○ Experience with scripting languages: Python, Bash etc.
○ Experience with Linux OS setup and configuration.
○ Experience with Docker.
○ Experience with CI/CD pipelines.
○ Experience with relational SQL databases, particularly Postgres.
○ Experience with other AWS services is an advantage.
○ Experience with GIS data and images is an advantage.
○ Experience with MLOps and DevOps is an advantage.
○ Experience with edge deployment and runtime optimization is an advantage.
We offer competitive pay and comprehensive benefits including:
● Basic health insurance plan
● Employee Stock Option Plan
● Paid vacation/holidays/day offs
● Paid Learning portals and training courses for your professional growth
● Career advancement opportunities.
Search "Intelinair" on the AWS Registry of Open Data (https://registry.opendata.aws/) to see some of our datasets.
Interested candidates can send their CV to jobs+ml@intelinair.com, subject - “ML Engineer”.
The Portal team brings together world-class experts to develop and ship groundbreaking products at the intersection of hardware, software, and content. We have a clear mandate to ship products at scale. In particular, seemingly impossible products that define new categories and that advance Facebook's mission of connecting the world. To enable new experiences the Portal AI team is tasked with inventing and developing cutting-edge technologies that make Portal products give people the experience of being there. We’re looking for talented Machine Learning Applied Researchers to build techniques that are central to creating audio and video-based technologies for Portal products. The ideal candidate has a good understanding of Speech processing and has applied machine learning techniques to audio problems.
The Machine Perception team in Motorola Solutions CTO AI group seeks motivated research scientist with a Ph.D. in computer science/engineering or a related field to work on applied research projects in Computer Vision, Vision + Language. We are working on a wide range of exciting research projects with real world impact, including object detection and recognition, image retrieval, visual reasoning, scene understanding.
Who are we:
SAIT, Samsung Advanced Institute of Technology is Samsung group’s R&D hub. Established in 1987 as an incubator for cutting-edge technologies under the philosophy of Boundless research for breakthroughs. SAIT’s guiding vision has always been changing the world through creative research. At the heart of Samsung group’s R&D, SAIT acts a point of convergence for different research fields and acts as a bridge connecting different domains, resulting in quantum leap level of innovation. From AI algorithms, computing platforms and human augmentation to semiconductors, battery and display material; SAIT covers a large spectrum of fundamental research topics the are at the corner stone of advanced technologies.
Research Areas:
• AI Algorithms: understanding users and environments with human-level intelligence.
• Commuting Platform: New computing processors that mimic the human brain.
• Human Augmentation: Technology that expands human capabilities.
• Metaphotonics: The magic of light demonstrated by artificial nanostructures.
• Nano-Electronics: Innovative devices using Nano new materials.
• Display Materials: Novel technologies for luminescent and organic electronic materials.
• Battery Materials: New battery materials and chemistry for safer and longer use of batteries.
• Semiconductor Materials: Next-generation semiconductor materials for “more Moore” & “Beyond Moore”.
• Environmental Research: Sustainable materials designed for the capture and decomposition of pollutants.
SAIT Computer Vision Lab:
Computer vision lab at SAIT have been established to cover a multitude of interesting and versatile computer vision tasks. Research topics include object detection, identification, segmentation, tracking or computational photography. Researchers at SAIT’s computer vision lab work on designing and developing AI and computer vison algorithms to run on plethora of devices; from tiny machine learning algorithms running on a sensor level to huge models that run on large scale supercomputers. To facilitate the infrastructure for this versatile research agenda, the computer vision lab collaborates with computing platform researchers to facilitate a seamless integration between software and hardware. This way computer vision researchers at SAIT only focus on designing cutting edge computer vision technologies and solving challenging computer vision tasks. The Computer vision lab at SAIT is continuously looking for active researchers with interests in AI Algorithms; including Computer Vision, Computer Graphics, Image Processing, Machine Vision, Deep Learning & Machine Learning.
SAIT homepage : https://www.sait.samsung.co.kr/saithome/main/main.do
[ABOUT]: The Inception Institute of Artificial Intelligence (IIAI) (http://www.inceptioniai.org/) was founded in early 2018 in Abu Dhabi. It is the leading AI institute in UAE with the focus on breakthroughs in various areas of AI research. The IIAI Video Analysis Research Group, led by Lead Scientist Dr. Shengcai Liao (https://liaosc.wordpress.com), focuses on intelligent video analysis and understanding. We focus on frontier topics in the direction of object detection, tracking, and recognition. Out target is to explore the nature of vision and intelligence, learning and generalization, and encourage potentially influential original research and breakthroughs.
[REQUIREMENTS]:
1、 Ph.D. in computer science, mathematics and other related majors from well-known universities.
2、 A deep knowledge in computer vision and machine learning. Willing to explore new and challenging research topics.
3、 Published at least two first-author papers in top-tier computer vision and machine learning conferences or journals (e.g. CVPR/ICCV/ECCV, NIPS/ICML/ICLR, TPMAI/IJCV, etc.).
[BENEFITS]: Extremely competitive package (tax-free salary). An extremely powerful GPU farm with several hundreds of NVIDIA DGX-1/DGX-2 servers. World-leading standard of healthcare and education. One month of paid annual leave per year.
[APPLICATION]: Please send an email to Dr. Shengcai Liao (shengcai.liao@inceptioniai.org) with the subject line "[IIAI Positions]:" followed by the relevant role, and the content including a comprehensive CV, and/or links to your homepage/Google Scholar profile/Github or other profile with source codes developed by you.
Envision.ai, based in Montreal Canada, is growing our team to usher in the latest advancements in deep learning to develop our VideoViews technologies for multi-modal video analysis. We are looking for talented senior software developers to build curiosity-driven, robust, scalable systems to support our APIs, infrastructure services, and our machine learning datasets. You are excited by the challenging problems that unstructured data poses particularly applied to video applications. Working at the nexus of creativity and artificial intelligence.
Do you dream about working in a flexible, dynamic, entrepreneurial and stimulating environment to build state-of-the-art products? Let's talk about you joining the team! Please contact us at careers@envision.ai
YOU:
• Demonstrated expertise in machine learning research. Ideally in multi-modal video analysis and video content creation.
• Experience coding in C++ and Python, worked with TensorFlow, PyTorch and TensorRT
• Validated ability to identify and troubleshoot issues in complex systems
• Ability to formulate a research problem, design, experiment, implement and communicate solutions.
• Dedicated to optimizing algorithmic and computational performance
• Experience architecting and developing solutions to ambiguous problems with significant impact.
• Ability to work in a diverse collaborative environment.
BONUS POINTS:
• Have made significant contributions to past software projects.
• You are excellent at debugging deep learning models and are an expert at implementing models from scratch, using cloud infrastructure to train and deploy these models.
• Collaborative and focused by nature
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
The Visual Computing Group (https://vcg.seas.harvard.edu/) in the School of Engineering and Applied Sciences (SEAS) at Harvard University seeks motivated postdoctoral fellows with a Ph.D. in computer science/engineering or a related field to work on applied research projects in computer vision and deep learning. We are working on a wide range of exciting research areas, including image enhancement, video understanding, visual question answering, and biomedical image analysis. In addition to working closely with graduate students and collaborators on research projects, the candidate is expected to actively participate in writing grant proposals.
Several Postdoctoral Researcher positions are available in the computer vision lab led by Professors Ko Nishino and Shohei Nobuhara in the Department of Intelligence Science and Technogloy, School of Informatics, Kyoto University. Successful candidates will contribute to research on human behavior modeling, inverse rendering, scene understanding including material recognition, or new imaging modalities for computational photography. The research projects are funded by either Japan Society for The Promotion of Science or Japan Science and Technology Agency. Initial contract will be for two years with possible multiple one-year extensions. Salary is competitive for an academic position in Japan and to live comfortably in Kyoto. No teaching requirements and obligations. The lab is located in the heart of Kyoto.
Qualifications:
* PhD in Computer Science, Electrical and Computer Engineering, or Machine learning
* Strong publication record in first-class computer vision journals and conferences
* Fluency in spoken and written English (Japanese not required)
Please send your CV, representative publications, research statement, and more than two references to kon@i.kyoto-u.ac.jp by August 30th.
MicroTraffic has helped 70 cities diagnose traffic safety problems by measuring near-misses from overhead video. We are a seed stage startup and winner of the 2021 SXSW Pitch - Smart Cities Category. In addition to helping cities to diagnose and fix traffic safety problems, we create edge case datasets that help self-driving companies better understand human risk behavior.
The first product that we built - an offline diagnostic snapshot tool that uses 3 days of overhead video - has triggered more than $225M of road safety improvement investments resulting in an average risk reduction of 80% at the subject intersections.
In this position, you will join a team that is strengthening our offline diagnostic snapshot tool, while also working on the next areas on our product roadmap: continuous edge diagnostics, and sensor fusion.
We are looking for candidates with an M.Sc. or Ph.D. in engineering or computer science focused on computer vision with experience and expertise in the following areas:
-road user detection, classification, and tracking from overhead video
-sensor fusion with LIDAR and/or RADAR to augment video
-accurate spatial localization of road users in video
-tracking models that run in real time on the edge (that is, they are computationally efficient)
-tracking strategies that are robust in unfavorable video conditions such as full and partial occlusions, small and distant objects, stopped objects, and object groups... in general creating single continuous tracks for each road user
-classification of pedestrians, cyclists, e-scooters, wheelchair users, and multiple vehicle types
You will work with a team of computer vision engineers and be supported by in-house and outsourced data labelling and annotation to help you execute your model development, training, and testing strategies.
A strong research background is an asset but this is a product development focused position, so past experience leading teams involved in successful commercialization of computer vision tracking projects is highly sought after.
We are located in Canada and are particularly interested in candidates living in Canada. However, the job is open to remote work anywhere in the world.
The MicroTraffic team is united and driven by a desire to make an impact in road safety. If you fit the profile described above and would like to be part of this impact-focused team, please reach out.
RIKEN launched a robotics project in April 2019, aiming at a future society where humans and AI/robots coexist flexibly. In April 2021, the project was renamed as Guardian Robot Project. This project is promoting R & D for the social implementation of next-generation robotics ("brain x AI") that synergistically incorporates the strengths of AI research into brain science and cognitive science. Multimodal data recognition Research Team focuses on multi-modal signal processing and pattern recognition, especially action/facial expression/intension estimation of a person, object recognition by fusing multiple sensor outputs, and 3D scene description.
Carries out research and other work in accordance with team research themes.
Carries out research and other work in accordance with team research themes under the direction of supervisors.
*The type of position will be decided based on the applicant's ability, aptitude, etc.
We seek a highly motivated research scientist or postdoctoral researcher to develop environmental perception and human understanding for robots. We mainly focus on multi-modal signal processing and pattern recognition, especially action/facial expression/intension estimation of a person, object recognition by fusing multiple sensor outputs, and 3D scene description.
must have a Ph.D. or is expected to receive a Ph.D. in computer vision, pattern recognition, machine learning, multimedia processing, or a related field before the date of employment
must be proactive, cooperative, flexible, and able to respond according to the circumstances.
must also have good communication skills and cooperate with the relevant personnel within/outside of the laboratory to fulfill the tasks.
At Motorola Solutions, we create technologies our customers refer to as their lifeline. Our technology platforms in communications, software, video and services help our customers work safely and more efficiently. Whether it’s helping firefighters see through smoke, enabling police officers to see around street corners, or reliably keeping the lights on in homes and businesses around the world, our work supports those who put their lives on the line to keep us safe. Bring your passion, potential and talents to Motorola Solutions, and help us usher in a new era in public safety and security.
Department Overview
Motorola Solutions’ innovations, products and services play essential roles in people’s lives. Our end-to-end suite of software solutions helps our customers answer thousands of emergency calls and text messages, and process video, disparate evidence and records. We are also proud to be industry leaders in video security solutions installed in more than 120 countries at thousands of customer sites, including school campuses, transportation systems, healthcare centers, public venues, critical infrastructure, prisons, factories, casinos, airports, financial institutions, government facilities, and retailers.
Our products leverage cutting edge voice technology, language models, natural language understanding, video analytics, and Machine Learning to enable our customers to focus on what matters while providing faster responses, safer outcomes and greater transparency. The candidate will join a talented team of scientists and engineers (located in Chicago, Boston, Vancouver and Krakow, Poland) in the Chief Technology Office at Motorola Solutions working on developing mission-critical AI solutions for our public safety and commercial customers. Our mission is to provide meaningful value to MSI’s customers by developing domain-specific applications and services in the areas of Speech & Audio, Machine Translation, Natural Language Understanding and Computer Vision.
Our AI team is focused on all aspects of 1) designing, prototyping and developing solutions (e.g. algorithms and architectures for object detection, classification etc.), 2) Machine Learning training and optimization (distributed training and inference acceleration) and 3) data (tools for data acquisition, annotation – both human and machine-powered, data pipelines and supporting ML infrastructure). We’re excited about the work we are doing in AI. We often describe it as “Mission Critical AI” because our approach is founded on our many years of Public Safety and Video Security experience and knowledge. We know the mission-critical needs of our customers are unique and different from the most consumer technologies that leverage AI today.
Job Description
Required Skills:
Desired Skills:
Job Overview:
Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.
Qualcomm Residency Program is 12-month role designed to jump-start careers in Deep Learning and Computer Vision. It will be based out of San Diego and residents will be required to work onsite.
Residents will work with pre-identified leads and projects (ML/CV/AI/DL etc.). The goal of the residency program is to help residents become successful researchers with hands-on industry projects, beyond the academic realms.
The residency program will be similar to spending a year in a Master's or Ph.D. program in deep learning and computer vision. Residents will be expected to read papers, work on research projects, and publish their work in top-tier forums. By the end of the program, residents are expected to gain significant research experience.
Current students would need to graduate before the residency begins. Applications will be shortlisted based on the prerequisite courses, proficiency in programming and also in the form of a transcript, letters of recommendation, notable performance in competitions, or links to an open-source project that demonstrates programming and mathematical ability.
Enrich the Smartphone, Auto and IoT embedded systems by advanced computer vision features with machine learning and signal processing. Tasks may include
Biometrics in embedded system, including face detection, recognition, anti-spoofing and gaze analysis under both 2D and 3D sensors
Deep learning research in computer vision for AI-enabled camera, video, augmented and virtual reality, including image segmentation, object detection and classification, body and hand pose estimation, etc.
3D reconstruction for 3D human face and body modeling and animation
Candidate needs to have PhD in EE/CS or related field
Preferred Qualifications:
- Research experience in Machine Learning, Computer Vision, Neural Networks
- Project experience that demonstrates programmi
- Ph.D in relevant fields and/or industry experience
Applicants: If you are an individual with a disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm is an equal opportunity employer and supports workforce diversity.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
About Us
Home Depot is the world’s largest home improvement company. At HomeDepot.com, our Data Science team is blazing a trail of retail shopping innovation by leveraging cutting-edge technology and newly patented concepts to bridge our 2,200+ store locations and our online shopping experience.
With deep learning, predictive modeling, NLP, pattern recognition, and computer vision, we innovate and implement solutions to surprise and delight our customers. By partnering with business leaders, we’re creating a unique, game-changing customer experience.
Roles
As Data Scientist or Senior Data scientist in the Visual AI team, you will be building state of the art solutions based on computer vision, deep learning, image processing, image generation, image reconstruction. If you are passionate, curious, and accountable, if you love challenges, solving problems and innovating, you will enable millions of customers to get their dream home!
We have several positions to enrich the visual experience of our e-commerce platforms, to help customer find the décor product that complete their room, refine their selection based on their taste, and visualize the item in the comfort of their home.
With your strong analytical skills and research experience, you will design solutions for customer and business problems. You will build prototypes and proof of concept, test and collaborate with product managers and engineering teams to push your solutions to production. Your strong communication skills will facilitate teamwork and influence the future of roadmaps.
Qualifications and Skills
• Master or PhD in Computer Vision, Machine Learning or related fields (CS, Machine learning, Deep Learning, Physics, Math…)
• Proficiency in Python
• Hands-on experience with some of the following technics and applications:
o Deep Learning such as CNN, Siamese NN, GAN, NGNN, etc.
o Computer vision libraries and machine learning framework, such as OpenCV, PyTorch, and TensorFlow
o Object Detection, Image Segmentation, Image Captioning
o Cross-modality recognition and matching
o Generative Images
o Photogrammetry or with DL techniques for geometry estimation
o 3D reconstruction algorithms (e.g. SFM, MVS, SLAM, etc.) and various 3D representations (e.g. pointcloud, meshes, implicit functions, neural representations, etc.)
Nice to have
o Publications at top-tier peer-reviewed conferences or journals
o Proven track record of innovation in creating novel algorithms and advancing the state of the art / patents
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Please apply for a Data scientist position (https://careers.peopleclick.com/careerscp/client_homedepot/external/gat…) or a Senior Data Scientist position (https://careers.peopleclick.com/careerscp/client_homedepot/external/gat…).
Job Overview:
Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.
Qualcomm's Multimedia R&D and Standards Group is seeking candidates for its Computer Vision team in Shanghai, China. The team develops new algorithms, architectures and systems for computer vision application running in an embedded systems environment targeted primarily to devices operating in mobile, XR, automotive and IOT environments.
The candidates are expected to work on the following aspects:
Utilizing modern machine learning techniques for computer vision tasks
Development of concept proving demo on Qualcomm platform
Tackling practical issues in terms of accuracy and efficiency for specific application scenarios to make the computer vision technology ready for commercialization
Tracking cutting-edge computer vision and machine learning techniques and new emerging application fields
Proposing new ideas in algorithm /application for technology commercialization and/or patent application
Qualification:
Strong background and hands-on R&D experience in one or more of the following Computer Vision related areas：
Biometrics: Face/ Fingerprint recognition and anti-spoofing
Hand / body detection and 2D/3D pose estimation
Object detection/ tracking
Segmentation
Knowledge or experience in ultrasonic signal processing, transmission and acoustic imaging theory is a plus
PhD degree is preferred but Master with top-level conference / journal publication in CV/ ML area can be considered.
Proficiency in Python and C++ is a must. Java/ Script languages are plus.
Proficiency in Pytorch or Tensorflow is a must.
Experience with On-device deep learning model deployment is a plus
Experience with Android / Linux / QNX development is a plus
Experience with performance optimization with ARM/ DSP/GPU/NPU is a plus
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
Applicants: If you are an individual with a disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm is an equal opportunity employer and supports workforce diversity.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
Facebook AI Research (FAIR) is one of the top industrial research organizations in the world. In the FAIR Computer Vision team, we publish groundbreaking papers and release frameworks / libraries that are widely used in the open-source community. We also collaborate closely with Applied Research and Facebook Reality Labs to bring the latest research findings to production.
We are currently seeking talented Research Engineers with experience in Computer Vision and Computer Graphics to join a new large-scale research effort aimed at coalescing multiple teams to make dramatic improvements in the state-of-the-art for Embodied AI and applications in Augmented Reality.
The chosen candidate will work with a diverse and highly interdisciplinary team of scientists, engineers, designers, product managers as their cross-functional partner, and will have access to cutting edge technology, resources, and research facilities.
To learn more about our research, visit https://research.facebook.com.
Aurora Flight Sciences, A Boeing Company, is seeking talented engineers to lead cutting edge autonomous aircraft research and development programs. The Perception Research Engineer/Scientist brings strong design ability with the sensors and algorithms that perceive the external environment (mapping and semantic labelling), internal state of a vehicle(s), and operator intent. The ideal candidate demonstrates strong background in modern machine learning perception algorithms and systems and the ability to deploy perception systems onto real-world applications. The position comes with ample leadership opportunities in customer/proposal development and engineering execution.
Aurora Flight Sciences, a Boeing Company, is a leader in the development and manufacturing of advanced unmanned systems and aerospace vehicles. Our mission is to apply autonomy and robotics to the development, production, and operation of advanced aircraft. During the last three decades, Aurora has designed, rapid-prototyped, and flown an average of one new vehicle a year for both government and commercial customers. Now, as an independent subsidiary of Boeing, Aurora’s innovation is combined with Boeing’s size and strength, creating an unprecedented opportunity to shape the future of aerospace systems.
Please apply at https://www.aurora.aero/careers/
Aurora is seeking a Research Engineer/Scientist to join our Autonomy Research Division. You will conduct research and development in Artificial Intelligence and Machine Learning (AI/ML) for challenging problems in the aviation domain!
Aurora Flight Sciences, A Boeing Company, is a world leader in the development of highly autonomous aircraft. We are searching for talentedengineers to lead cutting-edge research in AI/ML technology applied to unmanned aircraft systems.
Please apply at https://www.aurora.aero/careers/
Full Time Roles:
Senior Deep Learning Scientist, Mapping & Localization - Autonomous Vehicles (JR1939260)
Senior Software Developer, Behavior Planning - Autonomous Vehicles (JR1936829)
Senior Computer Vision Engineer, Mapping & Localization - Autonomous Vehicles (JR1939262)
Senior Robotics Engineer – Perception (JR1942771)
Senior Software Architect - Autonomous Vehicles (JR1937963)
Senior System Software Engineer, Driveworks (JR1937870)
Senior Systems Software Engineer - Autonomous Vehicles Platform (JR1938058)
Internships and New College Graduates:
Software Intern – Robotics AI (Summer 2022)
Software Intern - Robotics Simulation (Summer 2022)
Computer Vision Research Intern (Summer 2022)
Robotics Research Intern (2022)
Autonomous Vehicles Research Intern (2022)
Computer Vision Research Scientist (Summer 2022)
Robotics Research Scientist (2022)
Autonomous Vehicles Research Scientist (2022)
*Come chat with a recruiter on Monday, June 21st to learn more about opportunities on the CVPR NVIDIA Sponsor page.
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Link for more info:
Full Time Roles
Internships and New College Graduate Roles