Job Board

Amazon Go - Advanced Projects Group in Boston's Metro-West area

Amazon is building an Advanced Projects Group in the Boston Metro-West area. Come join an ambitious project developing new technologies that go well beyond the current state of the cart to address an enormous market that will impact the daily lives of tens of millions of people.

We are looking for world-class scientists and engineers to explore new ideas, invent new approaches, and develop new solutions.

BASIC QUALIFICATIONS
Master’s 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. Employer will accept a Bachelor’s degree or foreign equivalent in Computer Science, Machine Learning, Statistics, or a related field and five years of research or work experience in a related occupation as equivalent to the Master’s degree and one year of research or work experience. Must have one year of research or work experience in the following skill(s): programming with C, C++, or Python; 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

Responsibilities:

Candidate is responsible to play a technical lead role for machine learning & deep learning products for various hardware (such as CPU, GPU, accelerators). This job is responsible to bring the best accuracy/performance as well as easy-of-use to customer as well as work with internal & external partners. The job scope may include:
• Innovate, architect, design, implement, productize
• Research on acceleration algorithm, model transformation and low precision representation of deep learning workload
• Performance analysis and optimizations
• Collaborate within own team, within Intel, as well as with external partners across multiple GEOs.
• Solve technical issues, review others work, share knowledge, present results

Qualifications:

The candidate should have proven track record of a leadership role in machine learning & deep learning demonstrated by patents, publications, product delivery or other means.
The candidate should have some of the following qualifications:
• Publication records on top machine learning, NLP or computer vision journals & conference.

• Experience in deep learning frameworks such as PyTorch, TensorFlow, MXNet etc.…
o Have improved performance for one of the frameworks is a plus
o Have implemented new model on one of the frameworks is a plus
o Have ported a model from one framework to another is a plus
o Have used existing model to improve state-of-art of empirical problem is a plus
• CPU / GPU / AI accelerators
• Tensor / graph compiler
• Performance optimization / tuning
• Familiar with deep learning algorithm as well as traditional data analyze algorithm such as SVM, PCA, K-mean, etc.
• MLPerf benchmark
• High performance computing
• Excellent written and oral communication skills and be able to clearly communicate technical details and concepts

Tenured Assistant Professor position in Computer Vision open for applications at the Department of Computer Science, University of Bristol. We are looking for rising stars to establish her/his academic career and complement our leading activity in action recognition (egocentric or otherwise). Deadline for applications: 7th of April. For informal inquiries: dima.damen@bristol.ac.uk. Details in the link

Worker Type: Permanent
Contract Type: Full Time

Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a previous employer.
Role and Responsibilities

Purpose of the Role:

We are currently looking for exceptional Computer Vision and Machine Learning engineers to join our growing team in Staines-upon-Thames. This is a good opportunity to work on next generation mobile devices from Samsung.

The prospective engineer will investigate vision techniques for content creation and image manipulation, e.g. style transfer, and processing of live camera frames and images on PC and mobile environment. The prospective engineer will have an opportunity to work on production environments and solve industry relevant problems.

As an Computer Vision and Machine Learning Researcher you will:

Review state of the art computer vision research papers and develop prototype solutions.
Development of software and algorithms for computer vision, image processing and deep learning models
Have technical responsibility for one or more significant sections of the assigned project
Translate complex functional and technical requirements into detailed design

Skills and Qualifications

Skills and attributes:

Required Skills

Masters, Ph.D., or equivalent experience in Computer Vision or Machine Learning (Computer Science, Mathematics, Engineering, etc.)
Programming proficiency one or more of programming language and APIs like OpenCV, Matlab, C++/Java/Python
Computer vision, machine/deep learning or related fields
Excellent communication, team work and a results-oriented attitude
Proficiency in problem solving and debugging
Desirable Skills

Content creation and image manipulation, e.g. style transfer
Computational photography, image segmentation and 3-D vision
Experience of using Deep Learning libraries like Caffe, Torch and/or TensorFlow
Experience of Android application development

We at DeepCamera group (RISE Ltd.) are hiring. DeepCamera research group is focusing on developing innovative Imaging/Video pipeline and Computer Vision deep learning based applications to transfer smart capabilities to existing cameras.
In particular, will undertake the investigation for the improvement of all the aspects of the modern imaging/video pipeline, i.e., acquisition, storage, manipulation and visualization, as well as its applications, investigation of innovative computer vision applications to real-world problems, as well as the integration of the above techniques into embedded system (e.g. Jetson Nvidia).
The successful candidate will have the opportunity to conduct applied research in the aforementioned areas. The position holders will also participate in the preparation of research proposals for funding, project reports and deliverables, and travel abroad for dissemination activities. Furthermore, position holders should publish/present their research results in prestigious international conferences and journals and contribute to the research centre’s key performance indicators. The successful candidate will work under the supervision of the Team Leader of the DeepCamera group Dr Alessandro Artusi.

Qualifications:
• Bachelor's degree and postgraduate degree in a relevant field (e.g. Computer Science, Information Technology, Computer Engineering, Image Processing, Computer Vision, Computer Graphics) from an accredited institution
• Strong computer programming skills (e.g. C/C++, Pyhton, Matlab) is a must
• Knowledge of Deep-learning and usage of one of the existing Deep-learning environments (e.g. Keras, Tensorflow, Pytorch etc.) is a must
• High-impact research publications on relevant topics (a must for PhD holders/an advantage for non-PhD holders)
• Previous experience with embedded systems, i.e., Jetson Nvidia module, is considered an advantage
• Previous grant-writing experience is considered an advantage
• Previous relevant industrial experience will be considered an advantage
• Excellent knowledge of English language
• For non-EU applicants a work permit will be required.

Benefits: A very attractive remuneration package will be offered to successful candidate according to qualifications and experience.

Follow the link (More info) for the detailed submission process of your application.

Deep North is a computer vision company focused on delivering AI to the physical world. Deep North’s end-to-end software and hardware solutions combine artificial intelligence with computer vision enabling blue-chip retailers and enterprises to analyze human behavioral metrics in the physical world while preserving the privacy and integrity of each individual at the highest possible standards of anonymization.

You will:
• Research and develop cutting-edge perception algorithms: detection, segmentation, tracking, classification, and re-identification.
• Optimize our solution for production and edge deployment.

We are looking for:
• MS or Ph.D. in Computer Science or related fields.
• 2+ Years of industry experience developing Deep Learning and/or Computer Vision algorithms.
• Expert computer vision and deep learning background.
• Strong Python and C++ programming
• Experience in one or more of the following libraries: PyTorch, Tensorflow/Keras, CUDA, TensorRT.
• Able to communicate with a diverse team composed of experts and novices, in technical and non-technical roles.

Our ideal candidate is an expert Deep Learning and Computer Vision, has the experience required to transform research ideas into production. If interested, please send us an email with your CV/Resume.

Deep North is a computer vision company focused on delivering AI to the physical world. Deep North’s end-to-end software and hardware solutions combine artificial intelligence with computer vision enabling blue-chip retailers and enterprises to analyze human behavioral metrics in the physical world while preserving the privacy and integrity of each individual at the highest possible standards of anonymization.

You will:
• Research and develop cutting-edge perception algorithms: detection, segmentation, tracking, classification, and re-identification.
• Optimize our solution for production and edge deployment.

We are looking for:
• MS or Ph.D. in Computer Science or related fields.
• Strong computer vision and deep learning background
• Strong Python and C++ programming
• Experience in one or more of the following libraries: PyTorch, Tensorflow/Keras, CUDA, TensorRT.
• Able to communicate with a diverse team composed of experts and novices, in technical and non-technical roles.

Our ideal candidate is an expert Deep Learning and Computer Vision, has the experience required to transform research ideas into production. If interested, please send us an email with your CV/Resume.

Job purpose

As a senior research engineer at OPPO US Research Center, you will be working on developing image/video enhancement algorithms for mobile devices.

Duties and responsibilities

• Work in a collaborative environment to develop cutting-edge deep learning algorithms for image/video enhancement.
• Work in designing, training, evaluating, optimizing, and deploying deep learning models for mobile use cases.

Qualifications

Requirements:
• PhD degree in Computer Science, Computer Engineering, Electrical Engineering or master’s degree with 3~5 years of professional experience.
• Strong mathematical foundation in machine learning and deep learning.
• Track record of developing demanding deep learning algorithms and applications.
• Experience in developing deep learning algorithms for image/video enhancement, such as image/video denoising, image/video super-resolution, image/video HDR, image/video deblurring, etc.
• Experience in digital image/video processing, feature extraction, feature matching, and motion estimation.
• Experience with at least one of the deep learning frameworks such as TensorFlow, PyTorch, Caffe, and MXNet.
• Strong programming skills in Python, C/C++, Java, etc.

Preferred Qualifications:
• Experience in deploying deep learning algorithms on mobile platforms
• Experience in quantization for deep learning models.
• Strong background in smartphone architecture.
• Strong track record of Android development.
• Publications in top tier international conferences and journals, such as CVPR/ECCV/ICCV/NeurIPS/ICLR/PAMI/IJCV, etc.

More details can be found at: https://apply.workable.com/innopeaktech/j/7AC8250BF0/

ABOUT US:
Every single weekend, there are billions of fans cheering for their teams, and millions of players giving their best on the field. Sports connect people in a way that only a shared passion can achieve; it unites families; it creates friendships; it brings joy into the world. At Metrica Sports, we live to contribute to that passion.

We are on a mission to provide state-of-the-art performance analysis tools to clubs and media organizations at all levels of the game. If you share our mission and passion and you think you are up to the challenge, we want to hear from you!

ABOUT THE POSITION:
Our R&D team is focused on applying cutting-edge computer vision technology to extract knowledge and insight from video. We use a variety of techniques and approaches, ranging from well-known problems in computer vision such as object tracking or camera calibration to most recent challenges such as video scene understanding. At Metrica Sports you will:
-Work as applied research designing deep learning architectures to solve complex real problems in sports
-Improve algorithms in our current automatic systems for player and ball tracking, field detection, event recognition, scene understanding, among others.
-Be part of a small highly skilled team focused on researching and developing computer vision solutions for sports data analysis.

TO APPLY
In order to apply, please use this link: https://apply.workable.com/metrica-sports/j/B3B48C3035/apply/
We do not accept solicitations by recruiters, recruiting agencies, headhunters and/or outsourcing organisation

WHO WE ARE LOOKING FOR:
-You are crazy about sports.
-You have a startup spirit and are eager to leave your own mark in the sports you love.
-You are intrinsically curious, like to research new technologies and constantly want to learn and improve.
-You are highly collaborative, love to share your knowledge and want to work in a small and dynamic team.

YOU ARE A GOOD FIT IF:
-You are B.S or M.S (PhD is a plus) in Computer Science, Mathematics, Statistics, Machine learning or related fields.
-You have 3+ years of research experience in Computer Vision/Deep Learning projects
-You are able to apply scientific methodology in an industry setting.
-You are proficiency on Python and C++
-You have experience in object tracking problems
-You have knowledge about 2D-3D geometry view in computer vision problems
-You have proven knowledge and practical experience with Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) applied to real problems (you should know at least one of the following deep learning frameworks: TensorFlow, Keras, PyTorch, MxNet, CNTK)
-You have experience with mathematics/science/engineering python tools such as: Scikit, Scipy, Pandas,etc.
-You have experience/knowledge in image captioning and scene understanding on video sequence
-You are self-driven and value autonomy
-Fluent in written and spoken English.

WE WOULD VALUE:
-Experience with camera calibration, reconstruction problems, structure from motion, etc
-Experience/knowledge in reinforcement learning and deep reinforcement learning
-Experience in optimization problems
-Experience in Natural Language Processing (NLP) problems
-Experience in Machine Learning for recommendation system

BENEFIT
-Be a part of the sports you love.
-Work in a company whose product is used by teams, coaches and analysts at all levels of the games. From Champions League winners to your local team.
-You will be working in a young but fast-growing startup. Possibilities to make an impact are everywhere.
-Remote position (UTC-4 to UTC+2)
-Annual salary between 40k - 65k plus equity. To be discussed depending on experience and location. Exceptions can be made for outstanding candidates.

https://apply.workable.com/metrica-sports/j/B3B48C3035/

ABOUT US:
Every single weekend, there are billions of fans cheering for their teams, and millions of players giving their best on the field. Sports connect people in a way that only a shared passion can achieve; it unites families; it creates friendships; it brings joy into the world. At Metrica Sports, we live to contribute to that passion.
We are on a mission to provide state-of-the-art performance analysis tools to clubs and media organizations at all levels of the game. If you share our mission and passion and you think you are up to the challenge, we want to hear from you!

ABOUT THE POSITION:
Our R&D team is focused on applying cutting-edge computer vision technology to extract knowledge and insight from video. We use a variety of techniques and approaches, ranging from well-known problems in computer vision such as object tracking or camera calibration to most recent challenges such as video scene understanding. At Metrica Sports you will:
-Be the nexus between the RnD and engineering department. Helping translate new discoveries into product features.
-Work as deep learning engineer training/testing/deploying models to solve real problems in sports
-Improve algorithms in our current automatic systems for player and ball tracking, field detection, event recognition, scene understanding, among others.
-Be part of a small highly skilled team focused on researching and developing computer vision solutions for sports data analysis.
TO APPLY:
In order to apply, please use this link: https://apply.workable.com/metrica-sports/j/CEBE3D0C7D/apply/
We do not accept solicitations by recruiters, recruiting agencies, headhunters and/or outsourcing organisation

WHO WE ARE LOOKING FOR:
-You are crazy about sports.
-You have a startup spirit and are eager to leave your own mark in the sports you love.
-You are intrinsically curious, like to research new technologies and constantly want to learn and improve.
-You are highly collaborative, love to share your knowledge and want to work in a small and dynamic team.

YOU ARE A GOOD FIT IF:
-You are B.S in Computer Science, Mathematics, Statistics, Machine learning or related fields.
-You have 3+ years as Computer Vision/Deep Learning Engineer
-You have experience applying deep learning models to real problems
-You work with and create GPU enabled containerized processes (Dockers).
-You are proficiency on Python and C++
-You have experience in object tracking problems
-You have knowledge about 2D-3D geometry view in computer vision problems
-You have proven knowledge and practical experience with Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) applied to real problems (you should know at least one of the following deep learning frameworks: TensorFlow, Keras, PyTorch, MxNet, CNTK)
-You are self-driven and value autonomy
-Fluent in written and spoken English.

WE WOULD VALUE:
-Experience deploying deep learning models on cloud (AWS)
-Interact with a RESTful API using either Python or NodeJS HTTP libraries.
-Create bindings for NodeJS native modules.
-Experience/knowledge in image captioning and scene understanding on video sequence
-Experience with camera calibration, reconstruction problems, structure from motion, et

BENEFITS
-Be a part of the sports you love.
-Work in a company whose product is used by teams, coaches and analysts at all levels of the games. From Champions League winners to your local team.
-You will be working in a young but fast-growing startup. Possibilities to make an impact are everywhere.
-Remote position (UTC-4 to UTC+2)
-Annual salary between 40k - 65k plus equity. To be discussed depending on experience and location. Exceptions can be made for outstanding candidates.

https://apply.workable.com/metrica-sports/j/CEBE3D0C7D/

ABOUT US:
Every single weekend, there are billions of fans cheering for their teams, and millions of players giving their best on the field. Sports connect people in a way that only a shared passion can achieve; it unites families; it creates friendships; it brings joy into the world. At Metrica Sports, we live to contribute to that passion.

We are on a mission to provide state-of-the-art performance analysis tools to clubs and media organizations at all levels of the game. If you share our mission and passion and you think you are up to the challenge, we want to hear from you!

ABOUT THE POSITION:
Our R&D team is focused on applying cutting-edge computer vision technology to extract knowledge and insight from video. We use a variety of techniques and approaches, ranging from well-known problems in computer vision such as object tracking or camera calibration to most recent challenges such as video scene understanding. At Metrica Sports you will:

-Work as applied research designing deep learning architectures to solve complex real problems in sports
-Improve algorithms in our current automatic systems for player and ball tracking, field detection, event recognition, scene understanding, among others.
-Be part of a small highly skilled team focused on researching and developing computer vision solutions for sports data analysis.
TO APPLY
In order to apply, please use this link: https://apply.workable.com/metrica-sports/j/B3B48C3035/apply/
We do not accept solicitations by recruiters, recruiting agencies, headhunters and/or outsourcing organisation

WHO WE ARE LOOKING FOR:
-You are crazy about sports.
-You have a startup spirit and are eager to leave your own mark in the sports you love.
-You are intrinsically curious, like to research new technologies and constantly want to learn and improve.
-You are highly collaborative, love to share your knowledge and want to work in a small and dynamic team.

YOU ARE A GOOD FIT IF:
-You are B.S or M.S (PhD is a plus) in Computer Science, Mathematics, Statistics, Machine learning or related fields.
-You have 3+ years of research experience in Computer Vision/Deep Learning projects
-You are able to apply scientific methodology in an industry setting.
-You are proficiency on Python and C++
-You have experience in object tracking problems
-You have knowledge about 2D-3D geometry view in computer vision problems
-You have proven knowledge and practical experience with Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) applied to real problems (you should know at least one of the following deep learning frameworks: TensorFlow, Keras, PyTorch, MxNet, CNTK)
-You have experience with mathematics/science/engineering python tools such as: Scikit, Scipy, Pandas,etc.
-You have experience/knowledge in image captioning and scene understanding on video sequence
-You are self-driven and value autonomy
-Fluent in written and spoken English.

WE WOULD VALUE:
-Experience with camera calibration, reconstruction problems, structure from motion, etc
-Experience/knowledge in reinforcement learning and deep reinforcement learning
-Experience in optimization problems
-Experience in Natural Language Processing (NLP) problems
-Experience in Machine Learning for recommendation system
-Benefits
-Be a part of the sports you love.
-Work in a company whose product is used by teams, coaches and analysts at all levels of the games. From Champions League winners to your local team.
-You will be working in a young but fast-growing startup. Possibilities to make an impact are everywhere.
-Remote position (UTC-4 to UTC+2)
-Annual salary between 40k - 65k plus equity. To be discussed depending on experience and location. Exceptions can be made for outstanding candidates.

https://apply.workable.com/metrica-sports/j/B3B48C3035/

The University of Lincoln is seeking to appoint a motivated, inquisitive PhD candidate to join a diverse team of researchers in the School of Computer Science. You will have a masters (ideally) or bachelor’s degree (2:1 or above, with honours) or equivalent in computer science, engineering, bioinformatics, or a related discipline.

Your project will focus on the development of computer vision/machine learning techniques to monitor the behaviour of mice in the "home cage", with a view towards developing a general-purpose open-source framework for the animal research community. Unsupervised deep learning techniques, such as generative adversarial networks (GANs) and variational autoencoders (VAEs), and combinations thereof, offer great promise for the detection of anomalies in both image and video data. You will develop techniques along these lines using hundreds of hours of video footage acquired of mice via an infrared camera. This project will provide you with ample opportunity to explore a wide range of techniques for the detection and localisation of group-level abnormal behavioural events using real-world data.

You will join our diverse team of academics, postdocs and postgraduate students led by Prof Nigel Allinson MBE (Distinguished Chair of Image Engineering, College Director of Research). Your project will be undertaken under the supervision of Dr James Brown (Senior Lecturer/Assistant Professor in Imaging/Vision) and Prof Xujiong Ye (Professor of Medical Imaging & Computer Vision, School Director of Research). You will also have the opportunity to collaborate and visit with leading researchers in mammalian genetics at the Mary Lyon Centre, MRC Harwell Institute (Oxfordshire). They will provide invaluable insight, guidance, and data in support of this project for its duration.

This 3-year PhD studentship is funded by the NC3Rs, which is an independent scientific organisation that legally operates under the umbrella of the Medical Research Council (MRC). The annual stipend will be as set by the MRC. Tuition fees, consumables and travel expenses are included. This funding is only available to UK/EU candidates ordinarily resident in the UK for at least three years prior to the start of the studentship. This excludes those residing in the UK wholly or mainly for the purpose of full-time education. For more information, please refer to the UKRI guidance: https://www.ukri.org/files/funding/ukri-training-grant-terms-and-condit….

The University of Lincoln is committed to fostering a culture and environment where individual differences are appreciated and respected, ensuring equitable and fair treatment for all. Applicants will be considered without regard for age, disability, gender, marital status, pregnancy/maternity, race, religion, sex, or sexual orientation.

Application deadline: Thursday, 20th February 2020, AEST 11:59pm

CSIRO’s Data61 is seeking to appoint two CSIRO Postdoctoral Fellows for their Machine Learning and Artificial Intelligence: Spatiotemporal.

As the Postdoc Fellow, you will sit within the Spatiotemporal Activity (group) and work closely with leading machine learning and artificial intelligence experts in Data61 CSIRO. You will work in collaboration with other CSIRO Business units to develop fundamental and transformative spatiotemporal machine learning/artificial intelligence algorithms and workflows for complex systems (e.g, agricultural, environmental, mineral, biosecurity, robotics). Since manual annotation of large, multimodal, high-dimensional spatiotemporal data is challenging, approaches to use large collections of unlabelled data to learn generic representations are important. Your research will focus on spatiotemporal encoding to ensure generalisation and transferability and algorithms that combine multiple sources of data with domain knowledge and constraints. This will be done within national and international settings, and as part of a diverse multidisciplinary team.

How to Apply

Please apply on-line and provide a response to criteria and CV that best demonstrate your motivation and ability to meet the requirements of this role.

The newly founded Perception and Intelligence Lab (PINLab) is seeking exceptional and highly-motivated full-time Ph.D. students to research on one or a combination of these topics:
- Forecasting the future motion of people, vehicles and other objects
- Detection, recognition and re-identification with RGB and novel event-cameras
- Learning to learn (meta learning) and to generalize (domain adaptation)

The research work would leverage and define novel state-of-the-art models based on Deep Neural Networks and Spike Neural Networks, addressing the network memory, learning, reasoning and adaptation capabilities.
Initial work would stand on most recent achievements from our team, published at the TOP conference (CVPR) and journal (TPAMI) in the field:
- B Munjal, S Amin, F Tombari, F Galasso. Query-guided End-to-End Person Search. CVPR'19. (https://arxiv.org/abs/1905.01203)
- I Hasan, F Setti, T Tsesmelis, V Belagiannis, S Amin, A Del Bue, M Cristani, F Galasso. Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets. TPAMI'19 (https://arxiv.org/abs/1901.02000)
- I Hasan, F Setti, T Tsesmelis, A Del Bue, F Galasso, M Cristani. MX-LSTM: mixing tracklets and vislets to jointly forecast trajectories and head poses. CVPR'18 (https://arxiv.org/abs/1805.00652)

The PhD student would collaborate with scientists at the Dept. of Computer Science at Sapienza (https://www.di.uniroma1.it/en), a department of Excellence in Italy: #1 in Computer Science and in the top 1% among all other Italian departments. The student would be given the opportunity to collaborate with international academic partners and companies, to experience research and innovation transfer.

We provide equal opportunities to all applicants and favour diversity. Any expertise or prior knowledge in computer vision and machine learning is welcome. Prior publication at international conferences is an advantage. Ability to program in Python/C/C++ is desirable, as well as prior experience with Pytorch and TensorFlow. Other programming languages, communication skills and team play will also be welcome.

Submit your expression of interest by 15 March 2020
Direct your submission to Prof. Fabio Galasso (galasso@di.uniroma1.it), head of the PINLab.
Include your CV, cover letter, publication list and contact details of 2 referees.

Eligibility: the Ph.D. call would be funded by Sapienza and reserved to foreign candidates (non-Italian and not having resided in Italian for more than 6 months in the previous 3 years).

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. As part of this pipeline we are exploring the role of wearable device signals relevant to brain function.

ROLE SUMMARY - DATA SCIENTIST
Under direct supervision of the chief technology and medical officers, the Data Scientist will oversee and perform analysis of wearables datasets. They will work closely with the clinical team to understand the context of the data and their implications, and with the data science team to align analytics with the other projects at Alto. Work will include help with the design and analysis of wearables data, primarily in MATLAB and/or python, for the following tasks:
- Development of processing analytic pipelines for wearables data, including a focus on time series analyses
- Relating brain and wearables signals with clinical information using various analytics including machine learning
- Work 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 analysis models
- Develop visualization tools to interpret results
- Daily responsibilities will include algorithmic design and implementation, data analysis,
coding/debugging, troubleshooting, health monitoring/alerting.

QUALIFICATIONS AND EDUCATION REQUIREMENTS
- Degree in Statistics, Bioinformatics, Computer Science, Neuroscience, Engineering, or other quantitative fields
- 2+ years of Python or MATLAB programming/development experience
- Machine learning experience desired
- Be a team player while being able to work independently
- Share a desire to improve mental healthcare delivery
- Coding experience in linux/CentOS environment

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

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.

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/

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

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

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

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.

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.

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.

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

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