Job Board

Amazon Go/Dash Cart in Boston's Metro-West

Amazon Dash cart allows shoppers to checkout without lines — you just place the items in the cart and the cart will take care of the rest. When you’re done shopping, you leave the store through a designated dash lane. We charge the payment method in your Amazon account as you walk through the dash lane and send you a receipt. Check it out at https://www.amazon.com/b?ie=UTF8&node=21289116011.
Designed and custom-built by Amazonians, our Dash cart uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earth’s most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning and algorithms.

As an applied scientist, you will help solve a variety of technical challenges and mentor other engineers. You will play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.

BASIC QUALIFICATIONS
Position Requirements

Master’s or PhD degree or foreign equivalent in Computer Science, Machine Learning, Statistics, or a related field and one year of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Minimum four years of research or work experience in a related occupation and broad research experience after MS degree or equivalent. Must have research or work experience in the following skill(s): programming with C, C++, or Python; developing and utilizing computer vision and machine learning technologies (deep learning or related); and analyzing and developing vision-based systems for complex project projects in Artificial Intelligence.

PREFERRED QUALIFICATIONS

· PhD in computer vision, machine learning, or related discipline
· Depth and breadth in state-of-the-art computer vision and machine learning technologies
· Publications at top-tier peer-reviewed conferences or journals
· Proven track record of innovation in creating novel algorithms and advancing the state of the art
· Ability to develop practical solutions to complex problems
· Strong communication and collaboration skills
· Proficiency in C/C++ and/or python

When it comes to practical application of deep learning methods to mission critical real­ world problems, safety is crucial. However, deep learning methods may make random yet confident guesses for previously unseen situations. It is therefore required that they can admit the lack of knowledge. The Bosch Center for Artificial Intelligence (BCAI) offers the perfect environment for PhD students to develop novel deep learning algorithms with
the focus on uncertainty estimation.

- You develop and implement novel deep learning algorithms.
- You evaluate developed algorithms on open datasets and on multi­modal Bosch datasets from application areas such as autonomous driving, robotics, and Internet of Things.
- You research on uncertainty estimation, with the focus on generative modeling and density estimation.
- You collaborate with machine learning and computer vision experts.
- You publish in top­ tier journals and conferences.
- You have technical discussions and create new ideas within the deep learning research team at the BCAI.

We are searching for excellent candidates with a PhD in Computer Science (or similar field) interested in conducting research in visual compression and enhancement with deep neural networks. The context of this project is an ongoing collaboration between the Computer Vision Center (CVC) at Barcelona and the BBC R&D at London. The contract depends on the successful application to the next Tecniospring INDUSTRY call (in either modality: outgoing+return or incoming). This talent program provides an excellent opportunity for career development.

Project description
This project will investigate novel learned image compression approaches, together with machine learning-based image enhancement and restoration techniques, in order to improve the quality and user experience of broadcasting content and archive footage. BBC R&D will provide expertise in standard video coding, image restoration and access to professional video content, and CVC will provide expertise in neural image compression, generative models and deep learning. The project will also benefit from a secondment at the University of Cambridge, where the researcher will gain expertise in advanced probabilistic models and Bayesian frameworks, and their application to the project.

Required qualifications
We are looking for excellent and self-motivated candidates with:
- PhD in Computer Science, Mathematics, Telecommunications or any other relevant field.
- Two or more years of postdoctoral full-time research experience.
- Strong programming skills.
- Excellent publication record in relevant top journals (e.g. PAMI, TIP, TMM, TCSVT) and conferences (e.g. CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR).
- Track record that shows the ability to work both autonomously and in collaborative environments and projects.
- Excellent writing and communication skills in English.

Valuable skills
- Programming experience with Python and deep learning frameworks (Tensorflow, PyTorch).
- Experience in Bayesian machine learning.
- Experience in technology transfer, industrial research and/or research projects with both academic and industrial partners.
- Experience in preparation of research proposals for funding agencies, and writing technical reports.
- Awards and other distinctions.

Tecniospring INDUSTRY call and eligibility
Tecniospring INDUSTRY is a talent recruitment program of the Catalan government which funds two-year contracts of experienced researchers in order to develop applied research projects oriented towards technology transfer. It is co-financed by the Catalan government and the H2020 Marie Skłodowska-Curie actions. It considers two modalities:
- Mobility A: Outgoing and return. One year abroad and one in Catalonia. One year at BBC R&D (London) and another at CVC (Barcelona) in our case.
- Mobility B: Incoming. Two-year contract in a Catalan company. Two years at CVC in our case, with possibility to carry out a secondment at BBC R&D.

This program finances companies or technology centers with 58500 Eur/year for salary costs. In the case of Mobility B, during the year abroad this amount is corrected on a per country basis (up to aprox 85000 Eur/year in the case of the UK). The program also provides additional funding for research expenditures: research costs (15240 Eur/2 years), mobility (up to 1920 Eur/2 years) and open access publication (3000 Eur/2 years), in addition to training activities in technology transfer. Overall, it provides an excellent opportunity for career development.

Tecniospring INDUSTRY requires transnational mobility. This means that the candidates must not have resided or carried out their main activities (work, studies, etc.) in Spain or in the country of destination (mobility B) for more than 12 months during the 3 years prior to the call's deadline.

Interested candidates should contact Luis Herranz with a detailed CV including qualifications, publications, research and other relevant experience. The selected candidate and the host researcher will jointly prepare the materials for a strong application to the Tecniospring INDUSTRY call.

Important dates
- Selection of candidates. Until 6 June 2021.
- Tecniospring INDUSTRY call deadline: 15 June 2021

About CVC and BBC
The Computer Vision Center is a public non-profit R+D center dedicated to computer vision research and technology. CVC hosts more than 100 researchers (university staff, post-docs, PhD and Master students), who publish regularly in leading journals and conferences of the field. It has been involved in a large number of projects involving public and industrial partners, including 11 spin-off companies. Thus, CVC provides an excellent environment to carry out applied research and technology transfer projects.

The British Broadcasting Corporation is a large broadcasting organization producing radio and television programmes in a number of studio centres throughout the United Kingdom. The BBC R&D department is the core of the corporation’s effort to be at the cutting edge of media technology, and drives the exploration of exciting new tools for the production and distribution of programming.

Relevant researchers
- Dr. Luis Herranz, Computer Vision Center, Autonomous University of Barcelona (UAB) (lherranz.org)
- Dr. Marta Mrak, BBC Research & Development (www.bbc.co.uk/rd/people/marta-mrak)
- Dr. José Miguel Hernández-Lobato, University of Cambridge (jmhl.org)

The computer vision group at Boston University (BU) is looking for a postdoc in the areas of joint vision and language modeling and learning with limited supervision. Candidates must have a strong research track record in formulating machine learning algorithms and building systems, and publications in CVPR, EMNLP, NeurIPS, ICLR, and similar conferences. The position starts Jan 2022 and is funded for 18 months, renewable based on mutual interest and continued funding. The postdoc will be participating in broader collaborations, involving vision, language and learning groups at several universities, as well as with corporate partners.

To apply, please send a CV, research statement, links to three relevant peer-reviewed publications, and the names of two references to Kate Saenko (saenko@bu.edu) and Bryan Plummer (bplum@bu.edu) with the subject line “postdoc application”.

The role

This research is part of the SPHERE Interdisciplinary Research Collaboration (http://www.irc-sphere.ac.uk/), which has been developing a sensor platform for the home to diagnose and help manage health and wellbeing conditions since October 2013.

The successful candidate will work within the Video Analytics Work Package of the SPHERE NEXT STEPS project, but also collaborate with colleagues in other work packages to develop algorithms and associated models and software to perform computer vision and machine learning tasks.

The successful candidate will work together with several academic staff and the existing RA in a team to investigate algorithms and models for analysing and understanding human behaviour and activity and behaviour, gait and facial and emotion expression in cluttered and uncontrolled home environments. The research and software development will involve feature detection and tracking, deep learning techniques, statistical modelling and analysis, the use of one or more cameras, and many other relevant topics. The post involves close collaboration with other SPHERE project personnel – from other work packages within the project, including integration of other sensors, data fusion and data mining.

What will you be doing

Some of the tasks will be:

feature detection and tracking
statistical modelling and analysis
applying machine learning and deep learning methodologies
the use of one or more cameras (as well as other sensor modalities), including methods for action recognition and activity analysis
tracking and identifying across multiple rooms
and many other relevant topics

You should apply if

PhD in Video Understanding or Multimodal Computer Vision
Prior degree in computer science or mathematics
Detailed knowledge of video understanding state-of-the-art, approaches, datasets and problems
Experience in handling video data, for learning and inference
Experience in modelling deep learning approaches for Video Understanding
Experience and evidence of publishing at high-calibre conferences and journals
Experience in working within a multidisciplinary or cross-disciplinary team
Excellent programming skills (Python)
Proficiency in deep learning frameworks (PyTorch)
Good publication record in computer vision and/or machine learning·
Possess excellent speaking and writing skills in English.

Additional information

Please Note: This is a “rolling advert” with a nominal end date only as indicated in the advert. Applications are welcome at any time and the timing of the selection process will be dependent on the applications received.

There is no formal closing date, but the start date for each post is flexible dependent on the circumstances of the successful candidates.

Informal enquiries should be addressed to Prof. Majid Mirmehdi: m.mirmehdi@bristol.ac.uk

To find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog:

https://engineeringincludesme.blogs.bristol.ac.uk/

We welcome applications from all members of our community and are particularly encouraging those from diverse groups, such as members of the LGBT+ and BAME communities, to join us.

MIT/CSAIL's Distributed Robotics Lab in collaboration with Mass. General Hospital’s Department of Surgery and Surgical Artificial Intelligence and Innovation Laboratory are looking for a smart and energetic machine learning/computer vision postdoctoral candidate for a project aimed at revolutionizing the way surgery works. Candidates should have good knowledge of probability and inference, machine learning, and basic knowledge in computer vision with some experience in one or more deep learning frameworks.

The project is a two-year project with possibility for extension and has the potential to grow toward both a research and a commercialization track. The project includes both inference/computationally novel aspects, as well as clinical ones. Computational elements include computer vision and modeling/ML aspects aimed to revolutionize the way we understand surgery and assist surgeons.

Candidates will have the opportunity to work with novel datasets that combine streaming surgical data with datasets of clinical outcomes and procedural quality. The project has the potential to significantly redefine the delivery and quality of surgical care in both resource rich and poor settings.

Candidates should contact either Dr. Guy Rosman or Dr. Daniel Hashimoto , under the supervision of Professors Daniela Rus (MIT) and Ozanan Meireles (MGH).

Skills:
- PhD in an EE/CS field that leverages probabilistic reasoning and/or machine learning techniques.
- Understanding of either probabilistic inference, statistical signal processing, and relevant ML fields such as reinforcement learning, or knowledge representations.
- Basic understanding and some experience with computer vision / robotic perception.
- Working knowledge with deep learning frameworks such as Tensorflow or Pytorch.
- Good programming skills in python/Matlab, some skills in C/C++.
- No medical knowledge necessary

Purpose:
As a Research Software Engineer at Whiterabbit.ai, you will:
- Leverage strong software engineering foundation and machine learning knowledge to build scalable and reproducible deep learning pipelines powering our products
- Profile a high performance computing cluster, identify bottlenecks in code execution, and optimize system throughputs
- Support the research team in ensuring a scalable, optimized and high quality codebase

Responsibilities:
- Collaborate with the research team to build critical tools and infrastructure to optimize our model development lifecycle
- Deeply understand PyTorch and underlying implementations to drive efficiency and scalability of our machine learning system
- Dive deep into high performance computing and build advanced machine learning workflows, such as distributed training
- Be a champion for code quality and support research team in applying best software practices

Must Haves:
- 4+ years of backend and infrastructure experience
- MS in Computer Science/Computer Engineering, or demonstrated equivalent practical experience
- Strong programming and software engineering background, with experience in Python and C++
- Experience developing infrastructure and platforms to power deep learning at scale in HPC settings.
- Knowledge and hands-on experience with databases, filesystems and other datastores.
- Extensive knowledge of at least one deep learning framework, preferably PyTorch
- Experience with productionizing and deploying machine learning models (MLOps)

Nice to Haves:
- Experience profiling and optimizing CPU-GPU interactions
- Experience with tools like Spark, Hadoop, MLflow, Kubeflow or equivalent
- Imagination, ambition, and curiosity

About Scanwell

Scanwell is a pioneer in instant, at-home lab testing. We were the first to receive FDA clearance for a home urine test to diagnose urinary tract infections. Since then we’ve developed tests for chronic kidney disease, malaria, and now, COVID-19. Scanwell provides clinical-grade testing, instant results, and professional guidance for comprehensive healthcare from the safety of people’s homes.

We are a hybrid-remote team headquartered in Los Angeles, with outposts in Orange County and San Francisco. Occasional in-person meetings may be required.

Requirements

* Experience with C++ and OpenCV
* 5+ years of experience with image processing and computer vision
* Efficient and scalable algorithm design and problem-solving skills
* Excellent communication and critical thinking skills; ability to prototype quickly

Nice to have

* Demonstrated ability in technical research
* Experience with medical devices
* Experience building Android or iOS apps
* Experience with RAW image processing and camera sensor data
* Experience with Python

Scanwell Health is committed to having a workforce that is reflective of the diversity within the United States. As an equal opportunity employer, we encourage applications from candidates from underrepresented communities, Indigenous persons, persons with disabilities, persons of diverse sexual orientation and gender identity, and all those who can provide different perspectives and contribute to the diversification of Scanwell Health

* Medical, Dental, and Vision
* 401(k)
* Stock options
* Growth potential and opportunity to have a significant impact at an early stage company
* Working with an incredible team that's trying to make the world a healthier place

Purpose:

As a Research Scientist at Whiterabbit.ai, you will:

- Play a key role in architecting the algorithms and models that will power our products
- Train on a dedicated high-performance compute cluster specialized for deep learning research
- Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
- Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Responsibilities:

- Develop highly scalable classifiers and detectors that solve real-world problems
- Learn and understand a large body of research in deep learning and machine learning
- Participate in cutting-edge research for medical applications of computer vision

Must Haves:

- MS or PhD-level experience with deep learning and convolutional networks
- Contributions to research communities and efforts, such as publications at conferences like CVPR, NIPS, ICCV, ECCV, ICML, and ICLR
- Strong theoretical and empirical research background
- Extensive experience developing models for computer vision tasks (e.g. detection, classification, segmentation, domain adaptation) for real world problems.
- Ability to design, plan and carry out experiments to analyze and validate models' performance.
- Fluency with Python and a deep learning framework, preferrably PyTorch

Nice to Haves:

- Large scale machine learning experience working with terabytes of data
- Background in statistical modeling and optimization theory
- Implemented custom operations/modules in a deep learning framework
- Experience working with and contributing to large multi-user code bases
- Clinical experimentation experience
- Familiarity with GPU programming, SQL, and/or medical data formats
- Imagination, ambition, and curiosity

The Camera Technologies & Systems team in Camera & Photos group delivers amazing quality photos and videos by combining state of the art computer vision, image processing, and machine learning. We’re looking for a strong machine learning engineer to identify and apply machine leaning technologies for solving specific camera applications. In this role, you will develop and train deep learning algorithms, and work closely with GPU optimization and frameworks teams on productizing developed camera features.

Two Marie Skłodowska-Curie PhD fellowships on machine learning for 2D and 3D CT applied to manufacturing processes are available at KU Leuven and Leiden University. These positions are part of the larger xCTing Innovative Training Network on X-ray Computed Tomography (CT) metrology for manufacturing.

These fellowships come with attractive working conditions and remuneration packages, as well as joint training weeks throughout the fellowship. Successful candidates will perform state of the art machine learning research at top ranked European universities. Both Leuven and Leiden boast very high quality of life, and are attractive student cities in Belgium and the Netherlands. The positions come with excellent training and networking opportunities. Secondments at groundbreaking and innovative companies and research institutes are planned including Volume Graphics GmbH, National Research Institute for Mathematics and Computer Science (CWI Amsterdam), and Waygate Technologies.

For more information, please contact matthew.blaschko@esat.kuleuven.be and/or d.m.pelt@liacs.leidenuniv.nl, or visit our website at https://xcting-itn.eu/

To apply, please submit your application materials by following the instructions at https://xcting-itn.eu/jobs/ and specifying your interest in ESR2 (Leuven) and/or ESR3 (Leiden).

The University of Veterinary Medicine, Vienna is active in teaching and research and provides services in connection with ensuring animal health in Austria. These tasks represent our contribution to maintaining the health of humans and their animal companions as well as to producing healthy food.
Clinical Unit of Anesthesiology and Perioperative Intensive-Care Medicine (Department/Hospital for Companion Animals and Horses) in collaboration with the Precision Livestock Farming HUB (Institute of Animal Welfare Science, Department for Farm Animals and Veterinary Public Health) are looking for a

PhD student in image analysis for behaviour and pain detection in horses

Grade: B1
Level of employment: 30 hours
Length of employment: 3 years
Deadline for applications: 11.06.2021

The Precision Livestock Farming (PLF) HUB is part of Vetmeduni Vienna, ranked 5th worldwide (2019 Shanghai Ranking for Universities, Veterinary Sciences) and located in Vienna, consistently ranking as one of the most livable cities in the world.
The PLF HUB research focuses on assisting the management of animals by continuous, automated, real-time monitoring of production/reproduction, health and welfare, hence integrating a bioengineering approach to human-animal interactions with broad applications and benefits. This PhD position is organised in collaboration between the PLF HUB, the Clinical Unit of Anaesthesiology and Perioperative Intensive-Care Medicine of the Vetmeduni Vienna and M3-BIORES (Measure, Model, Manage Bioresponses), KU Leuven, Belgium.

Responsibilities
This PhD project is focused on development of automated methods for image based monitoring of pain in horses. The project will have several phases. In the first phase, the focus will be on a post hoc investigation of videos to develop an algorithm for automated classification of horse behaviour. This will allow establishing the technological foundation and will help to acquire basic knowledge about the influence of pain on behaviour. In a further step, an algorithm for real-time pain assessment will be developed. In the final step, the algorithm will be developed into a tool that can be used under clinical conditions. The potential of real-time application of the tool for everyday use at the clinic will be further investigated.

The candidate should be motivated, independent and reliable. The project is ideally suited for students with a strong quantitative background in computer science, engineering, or the physical sciences who has a passion to do high level applied research in a very engaged and ambitious research team. The project will combine behavioural observations on animals, analysis of dynamic variation of sensor signals, algorithm development and algorithm validation. The work will be conducted in English or German language. The starting date is negotiable.
Please submit to the email address listed below a letter addressing the selection criteria (necessary knowledge and qualifications, desired skills and abilities) in 2 to 3 pages, a full CV, a list of two references, and a letter of motivation describing your research interests, experience and goals.

Necessary knowledge and qualifications
• A Master degree in a relevant area of biology, veterinary medicine, computer science, bioengineering, engineering or equivalent degree
• Fluent in English in writing, reading and speaking (B1)
• Interest in data analysis and programming

Desired skills and abilities
• Knowledge in computer programming (MATLAB, Python, R)
• Knowledge in behavioural data analysis
• Experience with sensor use in biology
• Ability to conduct research relatively independently
• Affinity with horses or other animals, preferably experience in animal handling
• Interest in animal health
• Scientific publications would be a plus
• Experience with deep learning frameworks would be a plus

SAIC-Toronto is looking for strong candidates with expertise in AI, and in particular in the areas of computational linguistics, computer vision, and machine learning. The ideal candidate will have experience and interest in the use of the latest machine learning techniques to solve problems that require an understanding of the linguistic as well as the visual worlds. Examples of such research areas include (but are not limited to): visually-grounded language understanding, e.g., visual dialog, vision-and-language instruction following and navigation, and dialogue-driven image/video search, editing, and/or summarization. The candidates will have the opportunity to work with other top researchers and engineers, and to publish at top-tier conferences and journals. Our positions are a great fit for researchers (scientists, engineers, and interns) who want to be at the cutting edge of research, and at the same time have direct real-world impact.

Interested candidates should contact Sven Dickinson (s.dickinson@samsung.com), VP and Head of SAIC-Toronto.

The Principal Researcher will use the modern techniques of Artificial Intelligence, Machine Learning and Operations Research to tackle research problems in one of the following areas under the supervision of Prof. Baris Ata (and his practitioner collaborators):

(i) Healthcare Analytics
(ii) Social Sector Innovation
(iii) Theoretical and Computational Analysis of Stochastic Networks and their Applications

This position is structured to prepare the PR to transition to a faculty position at a major research institution. The PR will conduct research, develop code supporting new methodology, and perform benchmarking comparisons in synthetic and real-data exercises, including PHI and PII data. The PR will also create and edit written materials like research documentation for potential publications, and talks and posters for research conferences.

Amazon One is a fast, convenient, contactless way for people to use their palm to make everyday activities like paying at a store, presenting a loyalty card, entering a location like a stadium, or badging into work more effortless. The service is designed to be highly secure and uses custom-built algorithms and hardware to create a person’s unique palm signature. Designed and custom-built by Amazonians, it uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.

The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems.

RESPONSIBILITY

We are looking for experienced 3D Computer Vision research scientists who can craft state-of-the-art computer vision solutions to practical industrial problems that require gathering and ingesting large volumes of visual data, and processing them to create insightful 2D/3D representations to guide business decisions. You will be encouraged to think out of the box and challenge established expectations, and to come up with new ideas that spark innovation and creativity. You will also have accountability for the efficiency and effectiveness of the engineering teams and positioning them to thrive. You will be responsible for:

3D research. To survey, design, prototype and evaluate algorithms in the broad areas of 3D Computer Vision. Propose new ideas, speculate performance, gather testing data, conduct evaluation, pinpoint problems, iterate and improve performance, and write algorithm code, technical reports, patent disclosures, as well as research papers. Interested research areas including but not limited to:
- camera calibration, sensor distortion correction, camera pose localization, best camera positioning planning;
- geometrical 3D reconstruction (Structure-from-Motion, SLAM, stereo, Multiview Stereo, etc.);
- depth sensing from RGBD cameras (point cloud processing, alignment & registration);
- deep learning in 3D (edge, line detection, stereo, optical flow, indoor object detection, semantic analysis of indoor environment etc.);
- geometric optimization (such as bundle adjustment, panoramic stitching, object pose conditional optimization etc.).

Business-driven technology development. Algorithm evaluation and deployment. Optimize algorithms and apply them to real business applications. Collaborate closely with other researchers and engineers to fast iteration from prototyping to reliable and scalable production.

External collaboration. Conduct discussion and collaboration with university professors and their students. Mentor and guide research intern for publication at top-tier Computer Vision conferences and patent filing in 3D research domain.

QUALIFICATIONS
Basic Qualifications
- PhD in 3D Computer Vision, SLAM, Machine Learning, Deep Learning or related field;
- Proficient in C / C++ / JAVA, Python;
- 3+ years in solving computer vision problems in the related 3D field as described in the Responsibility section. A deep understanding of common families of models, algorithms, and solutions;
- Solid foundation in mathematics;
- Good communication skills. Fluent English preferred;
- Ethical, and act with integrity.

Good to have
- 5+ years of Software Development experience;
- Experience building, prototyping and speeding up computer vision/machine learning algorithms;
- Strong analytical and quantitative skills with the ability to use data and metrics to back up assumptions and recommendations.
- Publications at top-tier peer-reviewed conferences/journals or winning academic contest(s), or a consistent record of industry innovation in the related domains.

ABOUT THE COMPANY
Are you passionate about using 3D Computer Vision to shape how future retail business should be operated? Do you want to have the freedom to propose, experiment and execute your brilliant ideas to hard yet practical problems? Do you believe in business-driven technology development and fast iteration? Wormpex AI Research (https://research.wormpex.com/) is the right place for you to make a huge impact.

Based in Bellevue, Great Seattle area USA, Wormpex AI Research is the research branch of BianLiFeng, a fast-growing start-up convenience store chain in China backed by global capital. At Wormpex AI research, we build state-of-the-art AI technologies to facilitate new retail logistics from storefronts, warehouses to manufacturing. You will be offered a rare opportunity to explore a variety of research domains, e.g. Computer Vision, Machine Learning, Deep Learning, Operational Research, Graphics Simulation, HCI or a combination of the above. You will have the opportunities to deliver advanced AI technologies to different stages of our retail operation process, so as to empower the next generation retail business operation and shopping experiences. You will also conduct exploratory research to secure future opportunities, and publish your research work in top venues.

The UTSA Department of Computer Science is posting for open rank positions: Lecturer, Professor of Practice, or Professor of Instruction.

Applications for these (3) full-time, Fixed Term Track (FTT) positions will be accepted through midnight CT on May 31, 2021.

Professor of Instruction is a teaching-focused position. Professor of Practice is a teaching + research position.

Description

We are looking for a talented R&D Software Engineer, C++ (3D computer vision, image processing, algorithms).

Within the Model team, you will play a key part in developing exciting and innovative technology that will underpin new products with the aim of significantly boosting customer productivity, creating value for customers and making our new products a success.

From designing and implementing computer vision algorithms to processing of 3D point clouds and meshes, you will work on a variety of highly technical subjects, bridging the gap between academic research and thousands of daily users. You have a passion for clean and efficient code as an important part of this role is making algorithms accessible to various product teams by providing high quality APIs and delivering proof of concept integration into products.

You are passionate about your field and follow up closely the latest developments and scientific literature and are able to link these to product needs. You are able to put together proof-of-concepts in high level languages to demonstrate your ideas internally. When it’s time to bring the code to production you strive to keep your code simple (readable and testable), performant (scalable) and robust. You understand the importance of testing and your definition of “done” contains unit tests complemented by functional and performance tests. You enjoy sharing good practices, pair programming and learning from others and are passionate about your craft.

Responsibilities

Design and implement computer vision algorithms
Refactor, maintain and optimize existing code base
Prototype integration of algorithms into code existing code base
Participate in the QA process
Engage daily in code reviews and promote good software engineering practices
Participate actively in the team and company’s agile processes

Requirements

At least 3 years experience in a similar role
Fast algorithm prototyping in a high-level language (e.g. Python, Matlab/Octave, Julia, ...)
Proficient in modern C++ programming: focused on code quality, simplicity, ease of maintenance and blazing fast code
Able to dig into complex code bases
Experience in computer vision, photogrammetry, computational geometry, algorithm development or related fields
Strong mathematical and problem solving skills; pride in high-quality work
Open-minded and able to work collaboratively in a team
Proficient English language skills (written and spoken)
Flexible and feel at home in a fast growing technology company
Perfect fit with Pix4D’s spirit: passionate, positive, collaborative and respectful attitude

Desirable

Experience with CUDA (or Vulkan, OpenCL), OpenCV
ML/Deep Learning background dealing with 3D geometries
Knowledge of python
Strong CS and math background: linear algebra, statistics, optimization
Knowledge of Qt, OpenGL

Description

We are looking for a talented Senior R&D Software Engineer, C++ (3D computer vision, algorithms).

Within our growing team you will play a key part in developing exciting and innovative technology that will underpin new products with the aim of significantly boosting customer productivity, creating value for customers and making our new products a success.

You will work on a variety of highly technical subjects, bridging the gap between academic research and thousands of daily users. You will have a key role in strategically important projects, initially focusing on improvements for our surface reconstruction/meshing pipeline. You have a broad interest in computer vision or photogrammetry and a demonstrated expertise in processing of 3D point clouds and meshes. You understand that everything starts with the customer problem and you can work backwards to create the right solution.

You are passionate about your field and follow up closely the latest developments and scientific literature and are able to link these to product needs. You are able to put together proof-of-concepts in high level languages to demonstrate your ideas internally. When it’s time to bring the code to production you strive to keep your code simple (readable and testable), performant (scalable) and robust. You understand the importance of testing and your definition of “done” contains unit tests complemented by functional and performance tests. You enjoy sharing good practices, pair programming and learning from others and are passionate about your craft.

Responsibilities

Develop a strong understanding of customer requirements
Evaluate and prototype (in python) various technical state-of-the-art approaches
Design and develop robust and scalable C++ algorithms with a focus on 3D geometric algorithms
Engage daily in code reviews and promote good software engineering practices
Participate actively in the team and company’s agile processes

Requirements

Fast algorithm prototyping in a high-level language (e.g. Python, Matlab/Octave, Julia, ...)
Proficient in modern C++ programming: focused on code quality, simplicity, ease of maintenance and blazing fast code
Experience in computer vision, photogrammetry, computational geometry, algorithm development or related fields
Strong mathematical and problem solving skills; pride in high-quality work
Open-minded and able to work collaboratively in a team
Proficient English language skills (written and spoken)
Flexible and feel at home in a fast growing technology company
Perfect fit with Pix4D’s spirit: passionate, positive, collaborative and respectful attitude

Desirable

Experience with CUDA (or Vulkan, OpenCL), OpenCV
Project management and leadership skills
ML/Deep Learning background dealing with 3D geometries
Knowledge of python
Strong CS and math background: linear algebra, statistics, optimization

Overview:

The Computer Vision Lab (https://mbzuai-cv-lab.netlify.app) at MBZUAI is looking for a computer vision and machine learning researcher to develop methods for high-level visual understanding. Research topics include, object recognition, object detection, instance segmentation, video tracking, video segmentation, description of people’s actions, incremental, zero-shot and few-short learning.

Qualifications:

• Ph.D. degree in Computer Science, Data Science, Mathematics, Statistics, or related streams.
• Proven experience in Computer Vision, Machine/Deep Learning, or related fields.
• Good publication record at conferences and in journals, such as TPAMI, IJCV, TIP, CVPR, ICCV, ECCV, BMVC, ACCV, NeurIPS, ICLR, ICML, AAAI, MICCAI and ICRAI.
• Experience in Python and deep learning frameworks such as PyTorch/Tensorflow

What You Will Do?

• The successful candidate is expected to work with a team of researchers to publish prolifically at top-ranking AI conferences and in leading AI journals.
• Engage in the supervision and training of research students and project team members. As part of academic development, the post-holder may have the opportunity to teach or assist in teaching (this includes small-group teaching, and supervision of master or PhD projects in collaboration with principal investigators). Permission must be sought in advance for each opportunity.
• Share responsibility for shaping the project plans and the writing of group-funding applications for new research projects
• SCollaborate with funding bodies and provide information to project stakeholders and represent the research group at external meetings/seminars, either with other members of the team or alone.
  

  How to apply?

  • The position provides highly competitive salary, and outstanding scientific and career development opportunities. Applicants should email CV to hisham.cholakkal@mbzuai.ac.ae with subject “MBZUAI POSTDOC APPLICATION: YOUR NAME”.
  • Please include a cover letter describing your relevant skills, scientific publications, awards, and/or professional profile(s).

We are looking for motivated and thoughtful postdoc candidates with strong math / debugging / communication skills and publication records at major computer vision conferences.

The research group Translational Image-guided Oncology (Kleesiek) is seeking an experienced postdoctoral researcher with excellent knowledge and practical experience in the field of machine learning (ML) and medical image analysis. Our research focuses on unsupervised and self-supervised learning, in particular to recognize patterns in medical data and to quantify uncertainty in algorithms.

Access to real-world medical data and being located within a hospital enables us to deliver algorithms at the point of care - generating a meaningful difference for patients, doctors, and hospital staff. Strong funding and state-of-the-art equipment support our efforts.

Your responsibilities encompass driving cooperations within and outside the hospital, planning and execution of scientific projects, support in raising third-party funds, and the supervision of students. The successful applicant should have a Ph.D. in the fields of Computer Science, Physics or an equivalent discipline.

We offer a dynamic and enthusiastic team that wants to make a difference in the field of real-world medical ML applications. A creative atmosphere in an attractive and modern workplace helps in fostering and pursuing ideas.

The newly founded Institute for Artificial Intelligence in Medicine (IKIM) is part of the SMART Hospital concept of the University Hospital Essen and the University of Duisburg-Essen, Germany. The institute is located in the heart of Essen-Rüttenscheid, a vibrant district that offers many cultural, culinary, and intellectual opportunities.

Help us to reach our goals and become part of the team!

Calipsa is one of London’s fastest-growing deep learning technology companies. Our mission is to make the world a safer place by helping to detect and prevent crime. Calipsa’s AI platform analyses surveillance video in real-time to assess risk, filter out false alarms and automatically notify alarm monitoring services. Our current focus is on detecting burglary and theft and we monitor sites across construction, logistics, industrial, agricultural, retail and residential sectors in 6 continents. We are funded by top investors such as LocalGlobe, Global Founders Capital, Entrepreneur First and Horizon Ventures.

Within Calipsa, the Machine Learning Team designs the algorithms that drive Calipsa’s products. We are looking for a creative and ambitious Machine Learning Engineer to join our team and contribute to the growth of the business in a meaningful way. This is a great opportunity to join an industry-leading technology company during an exciting period of growth.

About the role

As a machine learning engineer at Calipsa you will be part of a team that uses computer vision and machine learning to extract useful information from CCTV footage. Using state of the art methods and technologies you will be developing visual recognition systems that perform tasks such as object detection, tracking and scene understanding.

You will be involved with, and take ownership of all stages of the ML cycle - conceptualising, designing, implementing and evaluating models. You will also be responsible for deploying those models to production in our cloud infrastructure.

To keep up with all of the developments in the field you will take part in our team-wide reading groups as well as have the opportunity to attend relevant conferences.

Calipsa’s machine learning team is international and based across several time zones. Generally, you will need to be available for stand-ups and company meetings between 10AM - 2PM GMT, but have the freedom to manage your own time from there.

Must haves

• A Masters (or above) in Computer Science or related field.
• 3-5 years of industry and/or academic experience.
• Expertise designing and training novel deep learning architectures for computer vision with a broad understanding of deep learning methods and the literature.
• Expertise in machine learning spanning supervised and unsupervised learning methods, and applying machine learning to real-world problems.
• Experience with deep learning frameworks such as Tensorflow, Keras or PyTorch.
• Strong Python programming skills.
• Great interpersonal skills for collaboration with technical and non-technical partners.
• Experience in a remote work environment and collaborating with an international team.

Nice to haves

• Experience with designing and implementing visual recognition systems for object detection and/or facial recognition and/or tracking.
• Experience working with TPUs.
• Familiarity with AWS, GCP, Docker.
• Academic publications.

What we offer

• Competitive salary
• Amazing colleagues, autonomy and endless growth opportunities
• We don’t track the number of holidays, working hours or place of work
• Private healthcare
• Remote working

Company Description

ViFive (www.vifive.co) is a human physio-wellness company. We develop AI technology to help 127M patients with musculoskeletal (MSK) disorders by creating healthcare solutions that are accessible, affordable, and patient-centered. If you are interested in digital health technologies, AI/ML, and “next big things”, you should talk to us.
We are looking for a motivated, passionate and inventive engineer with Machine Learning(ML) background to work on implementing models.

Responsibilities

• Design, develop and deploy vision based ML/AI solutions and applications.
• Develop and maintain data pipelines.
• Collaborate with other app developers, product designers, DPTs and business stakeholders

Qualifications

• Bachelor's degrees in Computer Science, Engineering or a related quantitative field
• 2+ years of professional software development experience
• 2+ years of experience using Python, Swift, or other programming languages
• Experience using python libraries data science libraries: pandas, sklearn, etc.
• Experience with SQL or other database systems

Preferred Qualifications

• Experience building large scale machine learning or deep learning models and/or systems
• Experience working with machine learning frameworks such as TensorFlow