Job Board

To post new jobs:

Please submit the job post request through this link, and it will normally show up below within a week. If you have any questions, please contact the web chairs: Tianfan Xue (tianfan@google.com) or Tian Lan (tianlan@amazon.com).


Data Scientist - Deep Learning Focus

Alto Neuroscience is a private company headquartered in the San Francisco Bay Area. Alto is developing a new generation of neural biomarker-based diagnostic tests and personalized treatments for use in psychiatry, based on a platform built from data aggregated at scale and proprietary artificial intelligence analysis tools. The team combines world-leading neuroscientists and business executives with experience commercializing products for the brain.

There currently is no objective way to diagnose psychiatric illness, nor to identify which treatment is best for an individual patient. Treatment selection is presently done by trial-and-error as there are no reliable blood tests nor objective brain measures, for example, that can inform these decisions. This results in clinical care that is highly inefficient and costly. Alto is focused on addressing this need through finding novel brain biomarkers that can define actionable subtypes of psychiatric illnesses, or inform the development and deployment of new treatments. To that end, we are building a platform capable of identifying a pipeline of new brain-based candidate biomarkers that can underpin new product opportunities.

ROLE SUMMARY - DEEP LEARNING DATA SCIENTIST
Under direct supervision of the chief technology and medical officers, the Data Scientist will complete custom deep learning algorithm development and programming tasks within a developing IT infrastructure surrounding 1) large-scale clinical and biomarker datasets and 2) incoming data from prospective clinical studies. Work will include developing data processing workflows, primarily in python, for the following tasks:
- Feature learning from a multimodal set of brain signals using deep learning
- Correlating brain signals with clinical information using deep learning
- Working closely with Alto’s data science and medical teams to deliver novel diagnostic and
therapeutic solutions for brain health

ROLES AND RESPONSIBILITIES
- Build and deploy deep learning models for brain signal-based prediction tasks
- Develop visualization tools to interpret results
- Daily responsibilities will include algorithmic design and implementation, data analysis,
coding/debugging, troubleshooting, and documentation.

QUALIFICATIONS AND EDUCATION REQUIREMENTS
- Degree in Computer Science, Statistics, Engineering, or other quantitative fields
- 1+ year of brain data analysis experience
- 3+ years of Python/Matlab programming/development experience
- 3+ years of deep learning (supervised & unsupervised) experience, with good understanding in
statistical machine learning and optimization
- 1+ peer reviewed publications in deep learning
- Be a team player while being able to work independently
- Share a desire to improve mental healthcare delivery
- Coding experience in linux/CentOS environment
- Good to have: Cloud development experience, MATLAB, and EEG data analysis experience

If interested, please email info@altoneuroscience and let us know why you think you would be a good fit for the role.

More info | Contact: Jillian Autea | Posted on: 2020-02-19

Imaging Research Scientist

Be part of leading edge research and development at Aware, Inc., a global provider of commercial off-the-shelf, standards-based biometrics software since 1993. We are looking for world-class engineer scientists who excel at algorithm development and are not intimidated by challenging problems. Aware seeks a qualified candidate for the position of Research Scientist to join its research team at its headquarters in Bedford, MA.

The ideal candidate will be a self-motivated, team-oriented experienced research scientist or engineer with a good understanding of image processing, machine learning and pattern recognition. This position requires an organized individual with very strong technical skills who is adept at understanding and solving complex technical problems and eager to explore uncharted territories in biometrics and pattern matching.

Responsibilities include performing advanced algorithm research and development in areas deemed complimentary to Aware’s digital image-based software products with a focus on biometric applications in mobile distributed cloud domains. The Research Scientist will work with the engineering staff to implement research results into commercial-quality software for product development and enhancement.

Preferred Qualifications:
• degree: Ph.D. in computer science, EE or related discipline
• proven track record of algorithm development and software implementation
• training or work experience in clustering, pattern classification, machine learning, image analysis
• strong background in mathematics, statistics and AI
• good writing and oral communication skills
• thorough knowledge and use of modern programming languages and operating systems, including: C/C++/Java, Python, in Windows and Linux/Unix environments
• experience with large datasets, empirical testing, experiment design, statistical data analysis a plus
• face, fingerprint, or voice experience a plus

All qualified candidates may submit cover letter and resume to: triopka@aware.com.

For more information on Aware, please visit: http://www.aware.com/biometrics/

More info | Contact: Terry Riopka | Posted on: 2020-02-19

Computer Vision Scientist

What You Will Do:

In this role, you will be part of an exciting team driving world-class analytics and data science. You will work with our R&D teams in operations, phenomics, automation and engineering, analytics and data science to identify and answer questions in the high-dimensional data space using AI and image analytics. You will effectively leverage your computational skills and experience working with large data sets to:

Solve problems: We’re faced with exciting and stimulating problems that need to be solved. Identify and implement short-term solutions, while helping define scalable, long-term solutions
Drive innovation: Develop novel analysis concepts and methods to increase speed, efficiencies and improved overall accuracy of our systems and decisions.
Identify opportunities: Assist with the identification of operational weaknesses and help improve or innovate new processes, helping product development be as efficient as possible

Who You Are:
A strategic and creative Computer Vision Scientist who collaboratively solves tough problems in computer vision, signal processing and image processing using machine learning

You Have:
Master’s Degree in Computer Science, Operations Research, Electrical Engineering, Mathematics or related disciplines
Minimum 3 years of experience in machine learning, coding, and answering questions in high-dimensional numerical datasets
Technical knowledge in data science, machine learning and image analytics specifically in image processing, computer vision and/or optical character recognition
Experience with SQL and AWS
Experience with machine learning, software development, high throughput systems, and high-dimensional datasets
Expertise in deep learning and computer vision
Expertise with general machine learning tools to build models and analyze data (e.g. in R or Python)
Demonstrated knowledge of the theory and practice of image processing, computer vision, and deep-learning techniques
The ability to structure unstructured problems and data, in order to derive conclusions and make recommendations to leadership
Programming: R, Python, Matlab
Proficiency with at least one deep learning framework such as TensorFlow, Keras, PyTorch, etc
Ability to independently travel by car or by air to domestic and international locations (Travel requirement: 10%)
Ability and willingness to be based out of one of the following locations: Downers Grove IL, Slater IA, Durham NC

You Might Also Have:
Published research in the field
A background and understanding of biological experiments and data generation
Understanding of seeds product development and associated data

More info | Contact: Hieu Pham | Posted on: 2020-02-19

Scientist - CV/ML

Machine Learning Scientist
at PlusAI
Silicon Valley

At Plus.ai, we are on a mission to build the next generation of commercial freight transport solutions, starting with safer and more efficient autonomous trucks.

Why trucks? They have a huge impact on our economy and our lives. Over 70% of the goods that we eat and use every day are transported using trucks.

Come work with Plus if you are passionate about making a big impact and you gush at the idea of geeking out on cutting edge technology.

Responsibilities:
Use computer vision, computational geometry, and image processing techniques to develop novel deep learning models
Combine multiple solutions from a wide range of disciplines to solve a single complex system in a creative approach

Qualifications:
- Strong programming experience in Python, C++, or Java
- PhD in Computer Science, Electrical Engineering, Mathematics, Statistics or related fields
- Comprehensive experience using state-of-the-art machine learning tools in applied setting
- Past experience with applying deep reinforcement learning into practical applications
- Published journal and/or conference papers and completed project descriptions should be submitted with the application

Perks
- Work on industry-leading technologies at an energetic, exciting Silicon Valley startup
- Forge the future of autonomous transportation while collaborating with AI experts from around the world
- Catered free lunch, unlimited snacks and beverages
- Competitive salary and outstanding benefits package

More info | Contact: Marshall Choi | Posted on: 2020-02-19

Senior Machine Learning Scientist

We are seeking an entrepreneurially-minded Machine Learning Scientist who loves challenges and is passionate about impacting millions of lives.

Responsibilities:

● Develop machine learning algorithms and methods for disease detection, classification, and characterization from dental x-rays

● Design, develop and maintain machine learning infrastructure

● Conceive proof-of-concept prototypes that establish overall system performance

● Collaborate with team members from prototyping through production to advance the entire project

Qualifications required:

● PhD/PhD Candidate in Computer Vision, Machine Learning, Robotics or related technical fields

● 5+ years’ experience developing computer vision software, including algorithm design and systems software development

● Experience training deep convolutional neural networks

● Artificial intelligence software development experience using Python

● Knowledge of applied mathematics and numerical optimization

● Prototyping experience

Preferred Qualifications:

● Experience with Biomedical image analysis

● Experience with TensorFlow, Keras, PyTorch, and other frameworks

● Proven publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ICML, etc.

● Experience with deploying machine learning models and inference at scale

More info | Contact: Deepak Ramaswamy | Posted on: 2020-02-19

Postdoctoral Researcher in Machine Learning and Computer Vision

Join a new research group at the Broad Institute of MIT and Harvard focused on the use of machine learning to solve fundamental problems in biology and medicine. We have an opening for a highly motivated postdoctoral researcher with a strong record of accomplishment in computer vision and machine learning. The position will be co-advised by Juan C. Caicedo (Broad) and Tommi Jaakkola (MIT).

We seek a candidate to join our efforts exploring three main research directions: 1) extract information from large scale image collections and integrate it with other data modalities. 2) develop reinforcement learning and meta-learning solutions to assist biologists in analyzing data collections and drive biological discovery. 3) design explainable and interpretable models to facilitate the formulation of new hypotheses for treatments or other studies.

The Broad Institute of MIT and Harvard is a non-profit institute at the forefront of biological research worldwide, making fundamental contributions to the human genome project, and discovering gene editing techniques to cure disease. The Broad offers an exciting academic environment for research and collaboration between biologists and computer scientists. The vast amount of biological data collected by the Institute demands novel statistical and machine learning models to extract, analyze and integrate information automatically.

Please send an email to jcaicedo@broad.mit.edu with your CV and research statement if you are interested in this position. The expected starting date is flexible and the call will be open until the position is filled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

More info | Contact: Juan C. Caicedo | Posted on: 2020-02-19

PhD in Computer Vision for First-Person Videos

You will be joining a high-active research group with leading publications (CVPR, ICCV, ECCV) in finegrained video understanding. Details on my group’s latest research projects and publications can be found at: https://dimadamen.github.io/. This project will focus on the multi-modal nature of understanding actions using video, audio and natural language descriptions, utilising the large-scaled dataset EPIC-Kitchens. The student will be developing novel deep architectures as well as addressing problems previously unexplored in action recognition, particularly replication of perceived actions in a simulated environment. The work is part of an EPSRC Early Career Fellowship programme and will be conducted in collaboration with researchers at Nvidia.

Prior knowledge in machine learning and computer vision is essential to applying for this funded position. Interest in video understanding should be highlighted. I am looking for a student with strong mathematical and programming skills, willing to learn, hardworking and an active team player.

More info | Contact: Dima Damen | Posted on: 2020-02-19

Post-doctoral Researcher and Student Intern in Computational Photography

We are looking for Post-doctoral researchers who are working for the computational photography projects; related to compressive sensing, computational camera and microscopy, coded time-of-flight imaging, image recognition from computational image, 3D reconstruction for human tissue and biological cell etc. The applicants are required for basic knowledge and experience for computer vision, machine learning, computer graphics and optics. They are also expected to implement camera and optical hardware as well as software implementation for the experiment.
The positions are basically on one-year contract, which can be renewed until March 2022, based on your performance. Please send your CV and publication list to applications@ids.osaka-u.ac.jp with desired date to join us.

We are also looking for student interns who are interested to computational photography and these projects. The candidates are Master or Ph.D course students who can join in the internship in Osaka at least 6 months. If you interested in, please contact to applications@ids.osaka-u.ac.jp with your CV.

Prof. Hajime Nagahara will be at the venue during CVPR to meet you in person for more detail. If you have any questions regarding this offer and detail of the projects please do not hesitate of contact us.

More info | Contact: Hajime Nagahara | Posted on: 2020-02-19

POST-DOCTORAL RESEARCHER in Computer Vision

The EECS department in Khalifa University, Abu Dhabi, UAE (www.ku.ac.ae) is seeking candidates for a postdoctoral position in computer vision and image processing. Topics of interest include fundamental topics in AI like active learning, multi-task learning, self-supervised learning and their applications in areas like healthcare, multimedia processing, and remote sensing. A PhD degree in computer vision, image processing, or a related field is required. Successful candidates are expected to have published in leading computer vision conferences and/or journals. This position is available immediately and offered for one-year term, subject to renewal based on performance and available funds

To apply for this position please send your CV to Dr. Hasan AlMarzouqi hasan.almarzouqi@ku.ac.ae

More info | Contact: Dr. Hasan AlMarzouqi | Posted on: 2020-02-19

Applied Research Scientist - CV, NLP and ML

Our Applied Research Scientist position is a product-focused-research position where you will research, apply, and optimize machine learning, computer vision, natural language and perception algorithms for autonomous robots. You’ll play an integral role, not just in researching algorithms, but also in product development, patents and other aspects of building a company from the ground up. Unlike other programs that focus just on conducting research and publication, our program places heavy emphasis on the process of refining and engineering the research into a product that people can buy.

Responsibilities
Collaborate with the HW, SW, and Algorithms team to bring product vision to life
Everything involved in applying an ML model to a production use case
Designing and coding up the neural network, gathering and refining data, training and tuning the model
Deploying it at scale with high throughput and uptime
Analyzing the results in order to continuously update and improve accuracy and speed

Qualifications
PhD/MS in Computer science, Machine Learning, AI or Related technical field
Experience applying theoretical models in an applied environment
Ability to solve problems and identify areas of improvement
Ability to write clean, reliable code that can be easily maintained
Experience with Python, with experience in Tensorflow, PyTorch or Numpy a plus
Experience with working on computer vision, machine learning or NLP problems
Familiarity with modern Deep Learning algorithms
Excellent verbal and written communication skills
Comfortable with running and interpreting common statistical tests and with common data science/learning techniques
Ability to work in a fast-paced, autonomously driven, and demanding start-up atmosphere

We are looking for someone who is:
An out-of-box thinker and doer, unafraid of solving really-hard-problems, and willing to do whatever it takes to ship extremely useful products.
Curious, asks lots of questions, challenges conventional wisdom, and doesn’t shy from contrarian opinions/approaches.
Focused on long-term and prizes transformational vs. transactional ways of doing things. Sees around the corner and proactively identifies and mitigates long-range risks.
Someone who prioritizes user needs, functionality, and usefulness
Detail-oriented and has pride in their work.
Willingness to take risks
Enjoys cleaning and organizing

More info | Contact: Josh Kapla | Posted on: 2020-02-19

Senior Data Scientist - Medical Imaging Computer Vision

IBM Watson Health Imaging - Senior Data Scientist

As part of the Watson Health Imaging division the Medical Imaging Data Scientist will be joining a highly entrepreneurial "Rapid Development team" where we are shaping the future of healthcare for the industry and for IBM. We are seeking individuals who will join the Care Advisor for Prostate Algorithm Development team and work with algorithm developers in Watson Health Imaging and IBM Research teams in USA, Canada and Haifa, Israel, to accelerate the creation of Care Advisor offerings in Watson Health Imaging portfolio.

IBM Watson Health is looking for talented individuals destined to usher in the next era of healthcare. We live in a moment of remarkable change and opportunity. The convergence of data and technology is transforming healthcare and life sciences organizations today. New opportunities are being created that never existed before to meet the demands of this transformation.
The Rapid Development Team is a group of AI Scientists and Software Developers within IBM Watson Health Imaging. In collaboration with cross-functional Watson Health teams, IBM Research and external partners, the team develops AI solutions that combine imaging and clinical data to enhance clinical decision making. The team is responsible for developing and validating robust and scalable cognitive services (text analytics and image analytics) and applications, including validation and evaluation of technologies being transferred from Research and other collaborators. We are looking for self-motivated and driven candidates that are passionate about working on cutting edge technologies and that thrive in a highly collaborative environment.

Responsibilities:

- Design and development of robust algorithms and techniques using image analytics, computer vision and machine learning
- Rapid development and validation of cognitive solutions by using and/or enhancing existing methodologies, frameworks and architecture
- Development of criteria for testing algorithm and system’s cognitive performance objectively from end-user and market perspective.
- Conduct performance evaluation and testing of algorithms and systems on test and real clinical data
- Work with clinical collaboration and joint development partners in Europe to develop cognitive solutions
- Support collection and annotation of data for algorithm development and evaluation
- Integration of cognitive systems and components in Watson Health architecture, including Watson Health cloud
- Planning, processing and performing all jobs in an efficient manner with minimum supervision
- Conduct product development in compliance with Watson Health’s methodology, practices and Quality Management system.

Requirements :

- 4+ years experience (post doctorate) with solving real-world problems using Data Analytics,
Computer Vision and Machine Learning
- Strong experience in Machine Learning, including deep learning and statistical models
- Strong Programming skills (Java/J2EE, C++, Python) and experience with software systems architecture, web services, web applications, and current software development tools, technologies and frameworks
- Strong publication record in peer-reviewed conferences and journals
- Demonstrated communication and cross-functional collaboration skills - Fluency in French;

More info | Contact: Adina Sasu | Posted on: 2020-02-19

ML in Healthcare – Full Time Openings

DESCRIPTION: We're looking for ML engineers with Healthcare experience. You will work with multi-modality data, possibly from: EHR, Medical Imaging, or Genomics.

Ideal candidate would have:

1) Strong skills in model development and deployment, in addition to having experience in either of: (a) EHR, (b) 3D medical images (e.g. CT, MRI), or (c) Genomics. Candidates without healthcare experience who have excellent full stack ML experience will also be considered (please read on for more info).

2) MS or PhD in a related area, with relevant work experience after graduation. Work experience requirement is flexible for recent graduates with strong skills in ML and programming.

3) A key quality we're looking for is willingness to learn new things. The role might entail familiarizing yourself with a new data modality (e.g. you have previous experience with medical imaging and your new project requires you to learn genomics data science).

4) Model deployment skills: for some perspective on what the ideal applicant should know, please see: https://fullstackdeeplearning.com. If you're not well-versed with deployment at the moment but are willing to learn quickly, that is fine too.

5) An open mind, good communication skills in English, and accepting of others' ideas.

6) Strong team player: We believe a team wins or fails together, there are no individual victories or failures. It is therefore essential that the candidates must be willing to learn from or teach their colleagues and be willing to work for the team's success.

INTERVIEW: Our interview process entails assessment of ML and programming skills, in addition to questions on your relevant experience.

THE TEAM: You will join an internationally-trained team of Healthcare AI researchers, product managers, data scientists, and software engineers, in addition to medical doctors with management experience on full time staff. With confirmed world's most comprehensive population genome program (web: pgp.ae) with the Department of Health of UAE, and other Medical Imaging projects in the beginning stages, right now is an excellent time to join the team. This is a high growth role. We believe in merit of reason over rank – you will work collaboratively with your colleagues and team lead to collectively make useful decisions for the projects.

APPLICATION: Please send your resume or CV, and a few lines of text highlighting the relevance of your experience to the advertised role in an email.

BENEFITS: US $-standard competitive tax-free salary with additional perks e.g. excellent family health insurance, annual flight allowance etc.

ABU DHABI: Capital of UAE and located close to Dubai, Abu Dhabi is a family-friendly city that offers the right balance between megacity-convenience in a small-town liberal setting with access to two major international airports (Abu Dhabi and Dubai) offering non-stop flights to all parts of the world. Abu Dhabi is home to several world-class universities, schools, hospitals and recreation centers including New York University (NYU), Cleveland Clinic, The Louvre Museum, Ferrari World, Warner Brothers Theme Park, Yas Waterworld, and many others. With several pristine fine-sand beaches, multi-ethnic restaurants, a mangrove national park within the city, and mountains a short distance away, Abu Dhabi offers superb opportunities for work and play.

More info | Contact: Shadab Khan | Posted on: 2020-02-19

4-year Post-doctoral Fellowship

We are accepting applications for a 4-year Level A post-doctoral position, with a salary range from $86,587 to $94,588 per annum plus an employer contribution of up to 17% superannuation.

Build your research career within the Australian Institute for Machine Learning, School of Computer Science and contribute to an innovative project with important applications in medical image analysis

Be part of a research team investigating new deep learning modelling approaches to leverage real-world large-scale image data sets containing noisy and incomplete labels and imbalanced class prevalence – to enable the use of these data sets for modelling deep learning classifiers.

This project involves collaborating with international machine learning partners in Germany and Portugal, and an inter-disciplinary collaboration with the South Australian Health and Medical Research Institute (SAHMRI). This position is within the Australian Institute for Machine Learning, which is an institute that conducts state-of-the-art research in machine learning, computer vision, and medical image analysis, hosting the largest computer vision and image analysis research group in Australia.

The discoveries to be made in the project will significantly increase our understanding of deep learning theory regarding optimisation and noise models enabling the development of new applications that can use previously unexplored data sets. This project represents a unique opportunity to produce future expertise for the Australian workforce, not only in university research, but in industry.

As the successful applicant, you will develop innovative machine learning methods that can use real-world large-scale image data sets containing noisy and incomplete labels and imbalanced class prevalence. The majority of your work regards the development of novel machine learning methods, but you will also actively participate at the School of Computer Science by teaching courses, performing administrative activities and have co-supervision development opportunities.

To be successful you will need:

A PhD (or near completion) in Medical Image Analysis, Computer Vision, Machine Learning, Artificial Intelligence or other closely related areas with a first degree in Engineering, Computer Science or a related discipline
Expertise in programming machine learning methods, especially in Python (tensorflow and pytorch), C++ and Matlab
A record of quality research as evidenced by publications in leading journals and at conferences
Good interpersonal and communication skills with the ability to tailor communication skills when interacting with students, researchers, professional staff and external stakeholders
A strong work ethic, and the ability to work well independently, and as a member of a broader team, including with industrial partners
Enjoy an outstanding career environment

The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you vast scope and opportunity for a long, fulfilling career.

It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work's cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.

Our core values are honesty, respect, fairness, discovery and excellence. Our culture is one that welcomes all and embraces diversity, We are firm believers that our people are our most valuable asset, so we work to grow and diversify the skills of our staff.

In addition, we offer salary packaging; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.

Learn more at: adelaide.edu.au/jobs

Your faculty's broader role

The Faculty of Engineering, Computer and Mathematical Sciences is a thriving centre of learning, teaching and research in a vast range of engineering disciplines, computer science - including machine learning - and high-level mathematics. Many of its academic staff are work leaders in their fields and graduates are highly regarded by employers.

Learn more at: ecms.adelaide.edu.au

If you want to change tomorrow, act today

Click the link to the online application form below (https://careers.adelaide.edu.au/cw/en/job/503710/internal-grantfunded-r…) and upload your responses to all selection criteria. Application close 11:55pm, 16 February 2020.

For further information

For a confidential discussion regarding this position, contact:

Gustavo Carneiro
Professor, School of Computer Science
P: +61 (8) 83136164
E: gustavo.carneiro@adelaide.edu.au

More info | Contact: Gustavo Carneiro | Posted on: 2020-02-19

PhD position in immersive Virtual Reality

Scholarship: Full payment of university fees and a tax-free stipend of €18,500 per annum for four years. In addition, a budget for equipment, travel and training is provided.

Role: This position is being advertised as part of the Science Foundation Ireland-funded Centre for Research Training in Digitally-Enhanced Reality (D-REAL). The selected applicant will become part of a cohort-based doctoral programme involving five leading universities in Ireland – Trinity College Dublin, Dublin City University, NUI Galway, TU Dublin and University College Dublin. Further details on the programme here: d-real.ie.

Title of project: VRFaces: Next-generation performance capture for digital humans in immersive VR

Supervision Team: Dr Rachel McDonnell, Trinity College Dublin / Professor Noel O’Connor, Dublin City University

Description of topic: It is expected that immersive conferencing in virtual reality will replace audio and video in the future. By using embodied avatars in VR to act as digital representations of meeting participants, this could revolutionize the way business is conducted in the future, allowing for much richer experiences incorporating the interpersonal communication that occurs through body language and social cues. However, creating virtual replicas of human beings is still one of the greatest challenges in the field of Computer Graphics. The aim of this project is to advance the animation technology considerably to allow a user to truly “become” their virtual character, feeling ownership of their virtual face, with near cinema quality facial animation.

Skills requirements: Applicants will be expected to have skills in the following areas: computer graphics/vision, OpenGL, Unity or Unreal Engine 4, virtual reality, motion capture, machine learning, geometry processing, face recognition/tracking.

More info | Contact: Rachel McDonnell | Posted on: 2020-02-19

Machine Learning Engineer

POSITION PURPOSE
• Dedicated to delivering Machine Learning projects within the CHEP Supply Chain.
• Dedicated to driving industry and market exploration into Machine Learning capabilities, assessing, leading feasibility study and applications of how it can be used in CHEP to further enhance our platform inspection capability across all CHEP platforms.

MAJOR / KEY ACCOUNTABILITIES
• Delivery of at least 2 Machine Learning projects per year for CHEP business across all platforms
• Demonstrate an ongoing understanding of Machine Learning technologies in current marketplace and how they can be applied to the CHEP business
• Research and on-board of technology suppliers for machine learning development and those that work in Machine Learning applications.
• Manage and lead Machine Learning development capital initiatives to support the technology development
• Facilitate and lead data gathering efforts and support testing during validation process

MEASURES
• Delivery of Machine Learning projects based on strategy and business need.

SCOPE
• Countries: Global to all CHEP Pallet business units
• Suppliers: Minimum of 2

AUTHORITY / DECISION MAKING
• Deliver value added machine vision projects corporately.
• Plan and deliver capital projects in excess of $100K in company assets.

CHALLENGES
• Utilizing existing hardware and images in addition to new image data gathering techniques to produce innovative image analysis models and algorithms.
• Development of ML approaches that improve the speed and accuracy of image algorithm development for inspection and quality control methods.

KEY CONTACTS
Process Engineering, including existing machine vision development team, Operations and Quality team

External:
External Technology Development and Data Annotation Suppliers

QUALIFICATIONS
• MS or PhD in Computer Science, Engineering, Mathematics or Statistics, with specialization in machine learning
• Proficient in Python or C/C++
• Proficiency in CV/ML libraries (OpenCV, Scikit-learn, Numpy, Pandas)
• Proficiency in Deep Learning frameworks (Tensorflow and Keras)
• Proficiency in implementing deep learning architectures for Image classification, Object detection and Object segmentation
• Demonstrated experience in scientific research related to Computer vision and Deep learning
• Scientific thinking and the ability to invent, implement, and lead technology developments in the field of computer vision and machine learning.
• Solid software development experience.
• Excellent written and spoken communication skills.

EXPERIENCE
• Minimum of 3 years of industrial experience in developing Computer Vision and Deep Learning applications in Python
• Experience in multi-facility, international organizations desired
• Experience in a diverse multi-cultural corporate environment desired
• Successful delivery of machine learning applications to internal or external customers

SKILLS AND KNOWLEDGES
• Strong Python/C++ programming capabilities
• Scientific understanding of Computer Vision algorithms and Deep learning architectures
• Ability to read scientific publications, understand and implement proposed solution
• Project Management
• Leadership: Ability to operate with little supervision and can make presentations at leadership level.
• Self-driven and strong problem-solving skills
• Team work
• Strong analytical skills and process focus

Desirable:
• Publications in top CV conferences and Journals (CVPR, ICCV, ECCV, NIPS, ICML, PAMI, etc.)
• Proficiency in Activity recognition and Object tracking
• 3D image algorithms experience
• Ability to work in a Matrix Organization

LANGUAGES
English
Desirable: Spanish

More info | Contact: Dennis Piatt | Posted on: 2020-02-19

Computer vision and deep learning engineer/scientist

Black Sesame Technologies Inc (www.bst.ai) is a well-funded high-tech enterprise focused on the development and application of digital imaging, computer vision, artificial intelligence and system-on-chip (SOC) design core technologies. BST was founded in 2016. Its US office is located in Santa Clara, CA. We have several offices in Shanghai, Wuhan, Shenzhen, Chengdu in China and an office in Singapore as well. BST is committed to providing customers with high quality, safe and reliable technologies and solutions. Our products are used in mobile devices, automobiles and a variety of consumer electronics products. If you are imaginative, collaborative, self-motivated and interested in working in a startup environment, please come and join our world class team of scientists and engineers to solve high impact problems. The company is growing very fast. We currently have a few job openings in the following categories. The relevant skills and experience requirements are listed as examples.

1. Computer Vision engineer/scientist: face detection, facial landmark detection, face recognition, human pose estimation, gaze estimation, facial expression recognition, 3D face reconstruction, anti-spoofing, human action/activity recognition, object detection and tracking, semantic segmentation, stereo vision; familiar with OpenCV, C/C++ and Python;

2. Deep Learning engineer/scientist: familiar with state-of-art deep learning techniques and development platforms, e.g., CNN, RNN, LSTM, Tensorflow, Pytorch, model design and training, data preprocessing and augmentation, model compression and quantization; high performance computing, embedded processing and optimization; C/C++, Python, GPU programming, CUDA/OpenCL .

Fresh PhD or MS with related industry experience are preferred. We support H1b, O1 and green card application if needed. The company offers competitive compensation package and equity (i.e., stock options), 401k plan, health insurance, vision and dental plans, PTOs. If you are interested in any position or have any question regarding the application process, please contact lei.zhang@bst.ai.

More info | Contact: Lei Zhang | Posted on: 2020-02-19

Machine Learning Engineer

Contribute to exciting and high visibility projects that will push the state-of-the-art in image and video understanding, computer vision, machine learning, deep learning, and data mining and reasoning. This will involve generation and evaluation of novel ideas, presentation of these ideas to peers and customers and participation in engineering these ideas for real-world systems. Our research group offers a dynamic, fun, and intellectually stimulating environment for cutting-edge research.

The main job responsibility of the candidate will be working with computer vision scientists and engineers to develop, evaluate, and optimize machine learning and deep learning methods for a wide range of computer vision tasks, including face detection/verification/recognition; face-based liveness detection and anti-spoofing; moving object detection and tracking; object classification/recognition/identification; 3D reconstruction; activity detection and classification; and scene classification and segmentation. Candidate should be conversant with the latest development in deep learning for visual recognition and video analytics, including the latest deep model compression and optimization techniques for edge inference and training. The ideal candidate possesses an impressive educational background and work experience in using machine learning and deep learning to solve computer vision problems, and can demonstrate both the breadth and the depth of knowledge that is required to solve challenging problems in real-world scenarios.

Candidate Profile
BS in Computer Science or Electrical Engineering, related field or equivalent experience, MS preferred

Past successful experience in applying machine learning and deep learning to solve computer vision problems

Ability to work with complex multi-faceted problems

Strong coding skills, including experience with Python, C/C++

Strong statistical background, a minor in math or statistics is a plus

Computer Vision, Machine learning, or Data Science coursework or experience required

Good data management skills and the ability to work with large disparate datasets

Must be a self-motivated worker and team player with good communication skills

ObjectVideo Labs offers competitive pay and a generous benefits package including health and welfare benefits, 401(k) with employer match, paid holidays, paid time off, and paid maternity/paternity leave. We offer a casual work environment, gym subsidy, education assistance program, and in-suite bike racks and showers.

ObjectVideo Labs is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by law.

More info | Contact: Melissa Kalagher | Posted on: 2020-02-19

Research Scientist

Contribute to exciting and high visibility projects that will push the state-of-the-art in image and video understanding, computer vision, machine learning, deep learning, and data mining and reasoning. This will involve generation and evaluation of novel ideas, presentation of these ideas to peers and customers and participation in engineering these ideas for real-world systems. The successful candidate will also have ample opportunities to lead projects based on their generated ideas. Our research group offers a dynamic, fun, and intellectually stimulating environment for cutting-edge research.

Areas of interest include but are not limited to: face detection/verification/recognition; face-based liveness detection and anti-spoofing; moving object detection and tracking; object classification/recognition/identification; 3D reconstruction; activity detection and classification; and scene classification and segmentation. Candidate should be conversant with the latest development in deep learning for visual recognition and video analytics, including the latest deep model compression and optimization techniques for edge inference and training. The ideal candidate possesses an impressive educational background in related fields with a strong publication record, and can demonstrate both the breadth and the depth of knowledge that is required to solve challenging problems in real-world scenarios.

Candidate Profile
MS in Computer Engineering, Computer Science, Computer Vision, Robotics, related field or equivalent experience; PhD preferred.

Solid research background and experience in computer vision, machine learning, and image/video analysis algorithms.

Current knowledge of research literature in Computer Vision with a history of publication in the field.

Excellent written and oral communication skills also required.

ObjectVideo Labs offers competitive pay and a generous benefits package including health and welfare benefits, 401(k) with employer match, paid holidays, paid time off, and paid maternity/paternity leave. We offer a casual work environment, gym subsidy, education assistance program, and in-suite bike racks and showers.

ObjectVideo Labs is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by law.

More info | Contact: Melissa Kalagher | Posted on: 2020-02-19

PhD position in Machine Learning for Earth Observation

Par­ti­cip­a­tion in the research activ­it­ies of the Remote Sens­ing Image Ana­lysis (RSiM) group in the field of machine learn­ing and big data man­age­ment for earth obser­va­tion. Devel­op­ment of image search and retrieval meth­ods and sys­tems for query­ing large-scale satelilite image archives in the com­pressed domain. Developed meth­ods will aim at enabling accur­ate and scal­able image index­ing and retrieval by effi­ciently char­ac­ter­iz­ing the high-spec­tral and spa­tial inform­a­tion. PhD thesis pre­par­a­tion is pos­sible.
Require­ments:
- suc­cess­fully com­ple­ted uni­ver­sity degree (Mas­ter, Diplom or equi­va­lent) in com­pu­ter sci­ence, com­pu­ter engi­nee­ring or a rela­ted field
- expe­ri­ence in machine lear­ning, dis­tri­bu­ted sys­tems and data­base tech­no­lo­gies
- solid pro­gramming skills
- fami­liar with at least one deep lear­ning frame­work (ten­sor­flow, caffe, pytorch)
- excel­lent com­mand of Ger­man and Eng­lish

More info | Contact: Prof. Dr. Begum Demir | Posted on: 2020-02-19

Computer Vision Research Intern

Main Responsibilities:

- Work with senior experts in the area of Computer Vision and conduct state-of-the-art research in the field. Expect to learn and experience conducting top-tier research in a collaborative team-working environment;
- Contribute to patents, strong publications and transferring technologies into practical product solutions;
- Be ambitious to lead changes in future Healthcare with innovations.

Qualification Requirements:

- Currently pursuing an MS or PhD Degree in Computer Science, Computer Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or other related fields;
- Self-motivated and demonstrated problem solving and critical thinking skills;
Familiarity with at least one mainstream deep learning toolkit, e.g., Pytorch, Tensorflow;
- Experience using Python and OpenCV;
- Proven track record of publications in the top computer vision venues is a plus;
- Experience with 6D pose estimation or 3D visual data processing is a plus;
- Good communication skills and team-work spirit.

More info | Contact: Ziyan Wu | Posted on: 2020-02-19

PhD: Computer Vision

At TU Dresden, the Chair of Machine Learning for Computer Vision offers a position for a

PhD Student Computer Vision

Tasks:
- Curiosity-driven basic research of fundamental problems in the fields of computer vision and image analysis
- Design and analysis of algorithms for solving these problems, exactly or approximatively
- Implementation, empirical analysis and comparison of these algorithms with respect to real data
- Publication of findings and insights in internationally leading conferences and journals
- Teaching assistance, esp. co-supervision of student research projects, and tutoring, in English.

Requirements:
- A very good university degree in mathematics or computer science or a related discipline
- Comprehensive education in mathematics, especially in discrete mathematics and one area of mathematical optimization (e.g. Mathematical Programming, Convex Optimization)
- Publications in leading conferences or journals are a strong plus at the entry level of a scientific career
- Curiosity and strong interest in rigorous methodological research
- Very good programming skills in C++
- Very good scientific writing skills in English. (Knowledge of German is not required for this position).

Salary level: TV-L E13, 100%

Application documents: CV, degree certificates, transcript of records (preferably as a single PDF file)

Website: https://mlcv.inf.tu-dresden.de/

Contact: mlcv@tu-dresden.de

More info | Contact: Bjoern Andres | Posted on: 2020-02-19

PhD: Machine Learning

At TU Dresden, the Chair of Machine Learning for Computer Vision offers a position for a

PhD Student Machine Learning

Tasks:
- Curiosity-driven basic research of fundamental mathematical optimization problems in the field of machine learning
- Design and analysis of algorithms for solving these problems, exactly or approximatively
- Implementation, empirical analysis and comparison of these algorithms with respect to real data
- Publication of findings and insights in internationally leading conferences and journals
- Teaching assistance, esp. co-supervision of student research projects, and tutoring, in English.

Requirements:
- A very good university degree in mathematics or computer science or a related discipline
- Comprehensive education in mathematics, especially in discrete mathematics and one area of mathematical optimization (e.g. Mathematical Programming, Convex Optimization)
- Publications in leading conferences or journals are a strong plus at the entry level of a scientific career
- Curiosity and strong interest in rigorous methodological research
- Very good programming skills in C++
- Very good scientific writing skills in English. (Knowledge of German is not required for this position).

Salary level: TV-L E13, 100%

Application documents: CV, degree certificates, transcript of records (preferably as a single PDF file)

Website: https://mlcv.inf.tu-dresden.de/

Contact: mlcv@tu-dresden.de

More info | Contact: Bjoern Andres | Posted on: 2020-02-19

Research Intern

Founded by Dr.Yuanqing LIN in November 2017, AiBee--https://aibee.com/en/ is a leading AI startup providing AI total solutions, and its mission has been to empower and upgrade vertical industries with AI. We are a leading company in the application of AI technologies for retail and have developed full AI solutions for offline retailers that allow closing the loop among data, algorithms and product/service. By deploying the most advanced and innovative AI technologies (computer vision, speech recognition, natural language understanding, big data analytics, robotics, etc.), AiBee has grown into a strategic partner of many of the world’s largest retail chains.

We are looking for top-notch research interns from all levels (BS, MS, and Ph.D.) to join our Silicon Valley labs. We have access to a huge amount of real-wold data from large retail chains, enabling researchers like you to develop techniques at scale. Interns will have the opportunity to pursue interests across academic, applied research and engineering and will be exposed to problems across various domains in computer vision and machine learning such as:
• Object Detection, Segmentation, and Classification
• Pose Estimation and Tracking
• Activity Recognition
• Re-identification
• SLAM

In this internship, you will:
• Define ambitious, relevant research problems and criteria for evaluating success.
• Based on the project, help analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms
• Build state-of-the-art solutions by designing algorithms and carrying out experiments.
• Have the opportunity to publish at top-tier conferences and/or journals such as CVPR, ECCV, ICCV, NeurIPS, etc…
• Work and collaborate with a world-class group of researchers and engineers led by chief scientist Prof. Silvio Savarese

Preferred Qualifications:
• Ph.D., MS or BS students in Computer Science, computer vision, machine learning related field.
• Ability to communicate complex research in a clear, precise, and actionable manner
• Experience working with deep learning frameworks and related tools in computer vision.
• Proficient in C++ or Python, or equivalent languages.
• If Ph.D. student, track record of publications at top-tier conferences such as CVPR, ECCV, ICCV, ICML or similar is preferred

To apply: please contact Prof. Silvio Savarese (aibee.usteam@gmail.com) with your resume and clarify your preferred start date.

More info | Contact: Silvio Savarese | Posted on: 2020-02-19

Postdoc: Deep Learning for Medical Image Computing

AI and Image Analysis Group @ German Center for Neurodegenerative Diseases

We are looking for a Postdoc in Deep Learning for Medical Image Computing to join the research group of Prof. Martin Reuter at the German Center for Neurodegenerative Diseases (DZNE) in Bonn, Germany. The DZNE is among the top 10 institutions in Alzheimer’s Disease Research wold-wide, and among the top three with respect to citations & collaborations (Elsevier Report 2019). You will develop new research directions, building upon our ongoing research on machine learning methods for MRI analysis, MRI reconstruction, brain segmentation, registration, retinal OCT analysis, motion estimation, and geometry based shape analysis.

We offer:

  • NETWORK: An interdisciplinary team of researchers, with strong collaboration ties locally (clinics, machine learners, population scientists) as well as internationally (Harvard Medical School, MIT, U Madison …). E.g. the PI Martin Reuter holds a faculty appointment at Harvard Medical School.
  • COMPUTE: We work with the newest deep learning hardware. Two servers with each 8 NVidia V100 cards (nv-linked) are available just for our lab - plus a shared state-of-the art HPC cluster.
  • DATA: The DZNE collects high-quality data in clinical and population studies. E.g. the DZNE Rhineland Study is a deeply phenotyped population study with already thousands of participants (aiming at 30K) and high-quality MRI, OCT images, MR-motion tracker data, genetics etc.. Manual labels, diagnosis, and QC ratings are prepared by experts.
  • LIFE: Live in a city with one of the highest quality of life ratings! Bonn, the former capital of Germany at the Rhine river, has a large international community, great recreational activities, and the Cologne metro-area right around the corner.

Requirements include:

  • Passion for research on deep learning for medical imaging.
  • PhD in computer science, medical imaging, mathematics, physics, electrical engineering or a related discipline.
  • Advanced knowledge of machine learning and deep learning (publications).
  • Advanced skills in Python and PyTorch (or Tensorflow).
  • Experience in working with medical imaging data is a big plus.
  • Excellent written and verbal English communication skills (working language is English).

Responsibilities will include:

  • Developing novel machine learning methods for medical imaging.
  • Collaborating with other research scientists, clinicians, faculty members, postdocs locally and internationally.
  • Supervising students.

Timeline, Salary, and Benefits

Please apply no later than 2/09

We expect the appointed candidate to start during spring of 2020. The initial appointment will be for two years, with the potential to renew further, depending on mutual agreement. We offer a competitive salary and benefits package (salary level E13 TV-L Federal tariff). We welcome both domestic and international applicants.

To Apply Please contact Martin.Reuter(at)dzne.de (email subject “MIC-PD-20”). We are looking forward to reading your application including your CV, contact information of two referees, a brief statement describing your personal qualifications and future research interests (up to 1 page), and a list of publications highlighting up to three most important ones (if possible in a single PDF file). Please ask if you have any questions. We look forward to hearing from you!

  • Developing novel machine learning methods for medical imaging.
  • Collaborating with other research scientists, clinicians, faculty members, postdocs locally and internationally.
  • Supervising students.
More info | Contact: Martin.Reuter | Posted on: 2020-02-19

Computer Vision and Medical Image Analysis intern (summer)

Company Description:

Joining Intuitive Surgical, Inc. means joining a team dedicated to using technology to benefit patients by improving surgical efficacy and decreasing surgical invasiveness, with patient safety as our highest priority.

Eligibility:

Must be concurrently enrolled and returning to an academic program in the fall in an accredited degree-seeking program.

Primary Function of Position:

The candidate will work with a top-notch multi-disciplinary R&D team to develop medical imaging, surgical planning and navigation software on a new robotic surgical platform (video). 

We are seeking a talented individual to research and develop algorithms for medical computer vision and medical image segmentation. Expected contributions include literature survey, algorithm design and implementation, testing on a large dataset with ground truth. 

Roles and Responsibilities:

  • Experiment with different machine learning models
  • Develop algorithm prototype and evaluate on evaluation datasets
  • Draft report and presentation

Skills, Experience, Education, & Training:

  • A passion for developing technologies to improve the lives of hundreds of thousands of people.
  • Self-motivated, self-disciplined and ability to work independently.
  • Ability to perform fast prototyping and testing iterations and thinking outside the box to solve practical problems.
  • Advanced MS or PhD student in the area of Computer Vision, Medical Image Analysis or Machine Learning.
  • Solid knowledge and/or experience in one or more of the following areas is highly desired: 1) geometric computer vision: SLAM, SfM, pose estimation, 2) image segmentation, 3) machine learning / deep learning.
  • Proficiency with Python and/or C++ to produce quick prototype and high quality code.
  • Familiarity with standard computer vision, medical image processing and/or machine/deep learning packages.

Learning Outcomes:

  • Applying knowledge/skill to make some real world impact
  • Gain hands-on experience on medical computer vision and/or using Deep Learning on 3d medical image segmentation
  • Gain experience of R&D in a product focused company
  • Exposure to the discipline of project planning and management

Commitment:  Must be available to work full-time hours, M-F for 10-12 weeks beginning Summer of 2020.  

We are an AA/EEO/Veterans/Disabled employer.

To Apply: Apply online or send resume to tao.zhao@intusurg.com

More info | Contact: Tao Zhao PhD  | Posted on: 2020-02-19