Deep Learning Job Listings

In this page, you can find job listings and job announcements related to the deep learning field. In order to put your job announcement on this page, please get in touch with us via e-mail (l…@gmail.com). When the position is filled please keep us informed, so we can remove the announcement:

 

 


PhD , Senior Manager for Deep Learning Center - SAP, Germany, Announcement date: 21 February 2017

You will define, build and run SAP’s Deep Learning Center of Excellence, build and manage a team of dedicated experts including architects, developers and researchers with the goal of leveraging existent and new Machine Learning solutions for SAP globally.  Natural language processing preferred, image/video/speech a plus.

https://jobs.sap.com/job/WalldorfSt_-Leon-Rot-Senior-Manager-for-Deep-Learning-Center-of-Excellence-Job-BW/334705601/?feedId=118400&utm_source=deeplearning&utm_campaign=sap_deeplearning


Summer Internship 2017 – Verisign Labs – Reston, VA, USA,  Announcement date: 21 February 2017

Verisign Labs is seeking *graduate* MSc or PhD summer interns with deep learning experience for specific projects within our broader internship program. Familiarity with TensorFlow, DL4J, word embedding, NLP, and traditional machine learning in applied contexts are a great start. Complete the application at the URL below:

[https://verisign.taleo.net/careersection/2/jobdetail.ftl?job=00004281]


MSc, PhD, Postdoc - 6837247 Canada, Chelsea, Montreal,  Announcement date: 20 February 2017

Short-term contract available immediately, work remotely with startup company to create proof-of-concept demonstration for CNN image classification.
Starting point: Any existing pre-trained CNN of your choice. Innovation: Inclusion of topologically preprocessed image as second input to CNN.
Contact: Martin Brooks at brooks.martin@sympatico.ca ,

PhD, Postdoc, GroupLeader -  Heinrich-Heine-Universität , Düsseldorf,  Announcement date: 20 February 2017

The Institutes for Mathematical Modelling of Biological Systems (Prof. Dr. Markus Kollmann), Pharmaceutical and Medicinal Chemistry (Prof. Dr. Holger Gohlke), and Machine Learning (Prof. Dr. Stefan Harmeling), invite applications for positions on the level of PhD/Postdoc/GroupLeader in the interdisciplinary field between life sciences and computational sciences. Our joint research effort focuses on understanding the mapping of protein sequence to protein structure with the big aim to design novel proteins and thus possibly new materials ‘in silico’.


Research Scientists - Trading firm, New York, San Francisco,  Announcement date: 8 February 2017

World’s leading high frequency trading firm is looking for Research Scientists with experience in deep learning to employ advance deep learning methods, modelling and statistics to huge structured and unstructured datasets on a Terabyte – Petabyte scale to devise algorithmic, quant trading strategies.  Our rigourus search and selection of talent has allowed us to build a  team consisting of leading researchers in fields such as Robotics, Machine learning, Pattern recognition, Mathematics and Statistics.

If you are interested in discussing in more details, please send me an email at: eduardo.herrera@njfsearch.com


PhD, Post-doc and Research Engineer - University of Strasbourg, France, Announcement date: 7 February 2017

Positions in Computer Vision/Artificial Intelligence for Healthcare, we are looking for candidates interested to contribute to the development of real-world AI-based solutions for the operating room.

More information about the open positions is available here: http://camma.u-strasbg.fr/


Post-doctoral positions - The Gravitation group at AstroParticule & Cosmologie APC, Paris, France,  Announcement date: 1 February 2017

The Gravitation group at AstroParticule & Cosmologie APC is seeking qualified individuals with expertise in machine learning and statistical signal processing for post-doctoral appointments in order to develop new data analysis methodologies for gravitational-wave astronomy.

https://www.apc.univ-paris7.fr/APC_CS/fr/post-doctoral-positions-statistical-signal-processing-gravitational-wave-astronomy-apc-paris-france


Computer scientists and systems engineers – Samsung Semiconductor Inc , San Diego Announcement date: 30 January 2017

Samsung Semiconductor Inc is searching for computer scientists and systems engineers for deep learning algorithm development. Candidate will work as part of a team on the research and development of algorithms for application processors and multimedia processors. Candidate will conduct research for deep learning algorithms, computer vision, image and video processing, or speech processing. Candidate should have good hands on experience with machine learning and deep learning algorithm development. Candidates should have a good publication record in top tier venues. Candidates should have a PhD in Computer Science or Electrical Engineering, or otherwise a masters degree with extensive experience. 

http://www.samsung.com/us/samsungsemiconductor/careers/index.html?searchBox=computer+vision&btnG.x=8&btnG.y=1&p=job%2Fo70z3fwt


Lead Data scientist - Ministry of Health and Long-Term Care, Toronto, CanadaAnnouncement date: 27 January 2017

The Ontario Ministry of Health and Long-Term Care is seeking a lead data scientist to conduct analytics and to develop machine learning, natural language processing, and AI solutions to support improved delivery of healthcare.

Please apply here by February 16, 2017:https://www.gojobs.gov.on.ca/Preview.aspx?Language=English&JobID=103511


Summer Internship 2017 - IBM Research – Almaden, San Jose, California,  Announcement date: 23 January 2017

You will be working on a research project on the design and evaluation of new chatbots. The final topic will also depend on your skills and interests.
 Qualifications: Highly motivated Ph.D. students with knowledge in one or several of these domains: machine learning, natural language processing, human-computer interaction, and computer science. Skills in deep learning and natural language generation are a plus. Please email a copy of your resume to Anbang Xu (anbangxu@us.ibm.com) with a subject line “USER summer Internship 2017”.  http://www.research.ibm.com/labs/almaden/index.shtml for more information.

PhD/Postdoc, GroupLeader Positions in Computational Biology, Duesseldorf, Germany, Announcement date: 18 January 2017

The Institute for Mathematical Modelling of Biological Systems (Duesseldorf, Germany) develops and applies modern machine learning methods to predict the behaviour of genes, pathways, and cells from high throughput molecular data. In particular we make use of convolutional neural networks in combination with bayesian sampling to extract higher order features (phenotypic traits) from genome, transcriptome, proteome, and crystallographic data. See  http://www.mathmodeling.hhu.de/projekte/job-description.html for more information.

Data Scientist - Novartis Institutes for BioMedical Research, Cambridge, MA, Announcement date: 18 January 2017

Contact for further inquiries: Tobias Sing, tobias.sing@novartis.com

Senior/Principal Scientist, Machine Learning – Nokia Technologies in Tampere, Finland, Announcement date: 13 January 2017

Visual Analyses and Synthesis team within Digital Media Lab of Nokia Technologies is a research team that specializes in 3D graphics, computer vision and machine learning. We research and develop visualization technologies that open the path for more immersive user experiences in virtual reality and augmented reality. We are looking for a talented and enthusiastic team player to join us in our quest for shaping the future of immersive digital media with theSenior/Principal Scientist, Machine Learning role.

https://www.linkedin.com/jobs/view/229645671


Research scientist  in computer vision - Palo Alto Research Center, CAAnnouncement date: 12 January 2017

The Palo Alto Research Center is currently seeking a research scientist with machine learning expertise in computer vision, control and human interaction to join our team of researchers currently engaged in developing novel self-learning methods for autonomous agents in unstructured environments under weak supervision. The goal is to develop agents that can efficiently use experience with the environment and informal observations of skilled human performance to develop effective policies. Applications include physio-therapy coaching, automated customer care, cyber threat detection, user behavior and preference modeling, packing of heterogeneous objects and general office automation.

https://careers.jobscore.com/careers/paloaltoresearchcenter/jobs/research-scientist-c7Oh3qLW0r5OOieMg-44q7?ref=rss&sid=68


Director of Imagery Analytics - Weather Analytics, Dover,  Announcement date: 10 January 2017

They’re Not All Worth a Thousand Words. Which pictures are? That can be the $1 million question for clients at Weather Analytics. Weather Analytics is seeking a motivated, self-starting Director of Imagery Analytics to guide the market’s leading imagery analytics program for insurers.
http://www.weatheranalytics.com/wa/2814-2/


Postdoc in Deep Learning and Lifelong Machine Learning – University of Pennsylvania,  Announcement date: 6 January 2017

The University of Pennsylvania’s invites applications for a full-time postdoc in deep learning and lifelong learning, available immediately: http://www.seas.upenn.edu/~eeaton/openpositions.html

Postdoctoral Research Associate -  Duke University School of Medicine, North Carolina, Announcement date: 5 January 2017

A Postdoctoral Associate position is available in an individual with expertise in machine learning and/or computer vision to join Carl E. Ravin Advanced Imaging Laboratories (RAI Labs) at Duke University. The full announcement can be found: http://deckard.duhs.duke.edu/~jyl/jobs.html


Research Analyst - Research Eng. – SR. Research Eng. – Southwest Research Institute - TexasAnnouncement date: 5 January 2017

Develop perception (computer vision, LIDAR and/or radar) software solutions for various intelligent system applications including, but not limited to autonomous/automated/unmanned vehicles, mobile robotics, and intelligent vehicle systems; perform in all phases of the development lifecycle, including requirements definition, hardware/software/systems design, implementation, testing, and integration; initiate advanced research and development programs, interact with clients, conduct technical presentations. Additional information about the type of work conducted by the Unmanned Systems Section can be found at: ugv.swri.org.

Please apply at this link: https://resapp.swri.org/ResApp/Job_Search_Results.aspx?DETAIL=10-00929


Open Faculty Positions – UC Davis California,  Announcement date: 29 December 2016

Faculty Position @ UCDavis in Machine Learning, NLP, Computational Linguistics, Information Retrieval and Text MiningWe are hiring in the broad area of analysis of text, language including multi-modal data.
Please see http://www.cs.ucdavis.edu/blog/faculty-employment-positions-2/ 


Position Openings for 10 Ph.D. candidates or Postdoctoral researchers in Machine Learning and Deep Learning – University of Amsterdam, Faculty of Informatics, Announcement date: 23 December 2016

Required Level of Education: University
Salary indication: €2,191 to €4,691 gross per month
Position Closing date: 15 February 2017
Work Hours: 38 hours per week
Vacancy number: 16-580

For more information about the details of these positions please visit the following link:

https://www.uva.nl/en/about-the-uva/working-at-the-uva/vacancies/item/16-580-10-phd-candidates-or-postdoctoral-researchers-in-machine-learning-and-deep-learning.html


Computer Vision Research Scientist – RetailNext San Jose, Announcement date: 16 December 2016
The need to understand shopper behavior drives us to do novel research in object, action, and gesture recognition, and we are looking for a Computer Vision Research Scientist to join our R&D team to help with those efforts. You will have an enormous opportunity to conduct applied research and development in Computer Vision and Machine Learning, that will become part of real-time applications analyzing visual data across hundreds of thousands of sensors worldwide. For more information please view our job posting here http://bit.ly/2hwFqFw

Deep Learning Research Positions – Comcast Labs Washington DC,  Announcement Date: 16 December 2016

Are you interested in building intelligent applications that are being used by millions of people on a daily basis? Do you have research and/or industry experience in Deep Learning and its applications in at least one or more of the following areas: NLP, Computer Vision, Recommendation Systems, or Data Science? Comcast Labs DC is currently looking to grow their research group with senior and junior deep learning researchers that will help us to build products that will allow millions of households to discover entertainment in a personalized manner and enjoy smart internet and home experiences while interacting with our products using natural speech.

Find out more at http://dclabs.comcast.com/jobs-page/


Deep Learning Researchers @ bigcloud.io,  Announcement Date: 16 December 2016
Big Cloud recruits for some of the leading Deep Learning start-ups in the US. We’re hiring for start-ups solving complex problems in Augmented and Virtual Reality, Autonomous Driving, Medical Diagnostics, Drone Technology, Construction and Fin Tech; plus much much more.
We are recruiting for ‘Director of Deep Learning Research’ positions down to roles suitable for fresh MSc grads.
Please get in touch for more information, referencing Deeplearning.net in your email. kit@bigcloud.io
 

Research Engineer in Hardware for Deep Learning,  Announcement Date: 16 December 2016

Future embedded systems and ECUs are getting more complex and require higher computation power, especially with increasing requirements on safety, energy efficiency and cost target. Here at Bosch, we develop optimal solutions in respect to hardware architecture, microprocessors and special hardware modules (i.e. IP, intellectual property) tailored for accelerating deep learning interference phase on embedded ECUs.

https://your.bosch-career.com/de/web/de/de/bewerben/jobsearch/-/cui/job/ZRB_UNREG_SEARCH/DE/567D863A01021EE6A8B74C523DFB95E0


NVXL – Deep Learning Software Engineer, Announcement Date: 29 November 2016

Stealth mode startup seeking software engineers to contribute to our product which is focused on pooled FPGA acceleration of deep learning, OpenCL, CNN, Spark, database and more. Hardware and company infrastructure is ready to go and we have multiple positions in the above topics to drive our product and technology forward. Candidates should send resumes to careers at nvxltech.com


Aipoly – Deep Learning Engineer (vision) @ San Francisco, CA, Announcement Date: 29 November 2016

Description: Join us to bring real-time image recognition capabilities to everyone’s phone. Develop software to help over 100,000 blind people navigate the world, and give human-like recognition abilities to personal assistants. We’re on Torch framework. Aipoly was born out of Kurzweil’s Singularity University and is a participant in the AI Xprize. We’re a small team with serious technical ambitions looking for engineers who want a prominent position in a startup. Jobs@aipoly.com


Deep Learning Research Scientists / Research Engineers @AI Research Lab – San Francisco, Announcement Date: 28 November October 2016

My exciting client is one of the best funded AI start-ups in the world and they are making unprecedented inroads into the world of Artificial Intelligence and Deep Learning. They offer a chance to work with an incredibly successful team in an innovation/research heavy environment. They are funded by the biggest single contributors to the world of Technology and Research and they’re looking for more world-class talent to join their revolution…

http://westbourneqt.com/job/researcher-research-engineers-artificial-intelligence-deep-learning-research-lab-san-francisco/


Assistant/associate/full professor positions @ Aarhus University, Announcement Date: 16 November October 2016

The Department of Computer Science at Aarhus University aims to establish a research group on machine learning. A position as tenure-track assistant professor or associate professor is therefore available starting summer 2017. The application deadline is January 15th, 2017. Another position as full professor is available as soon as possible. In this case the application deadline is December 5th, 2016.
Additional details and instructions on how to apply are found at:

Real-time Deep Learning Engineer @ COSMONiOAnnouncement Date: 8 November October 2016

Location: Groningen, The Netherlands

Description: 

Join us to develop the next generation of real-time deep learning algorithms that learn through user interaction. Our algorithms perform automated image analysis in a wide-range of sectors from medical imaging to security. You will be part of a small R&D team that develops state-of-the-art DNNs that learn efficiently both from small and big data. Please apply through LinkedIn or send your CV and cover letter to info [at] cosmonio.com.


Deep Learning Research Scientist @ SiemensAnnouncement Date: 22 October 2016

Company: Siemens

Position: Deep Learning Research Scientist (all levels)

Location: Princeton, New Jersey, USA

Description:

Join us and you will witness your algorithms being used at hospitals world-wide. Our team has a strong publication record in leading journals and conferences (see for example http://comaniciu.net/). We are located ten minutes from the Princeton University campus, one hour from New York City and Philadelphia. If interested, please send your resume to David Liu, David-Liu [at] siemens.com, Director of Engineering, Siemens Healthineers Technology Center.


Company: Osaro, Inc

Position: Deep Learning Research Engineer, Robotics Research Engineer, Reinforcement Learning Engineer, Machine Learning Software Engineer

Location: San Francisco, CA

Description: Osaro is a San Francisco based company developing exciting new machine learning products driven by our deep reinforcement learning technology. The company is backed by some of Silicon Valley’s leading investors.  We are looking for individuals passionate about building next-generation general AI systems and using them to solve problems in a number of markets.  In particular, we are seeking people with solid analytical capabilities, broad machine learning and statistical modeling skills, and strong programming experience.

For more information go to: http://www.osaro.com/careers/


Deep Learning Research Engineer @ TrueAI, Announcement Date: 5 October 2016

Company: True AI
Position: Deep Learning Research Engineer
Location: London, England
Description: True AI is a venture-backed artificial intelligence startup that automates customer support using machine learning/deep learning. Our product is the result of our own research, building on top of cutting-edge deep learning breakthroughs. The founders are deep learning experts, with backgrounds at labs of names such as Yoshua Bengio and Amazon.
We need a Deep Learning Research Engineer who is passionate about taking AI to the next level, and who is interested in building the company alongside the founders.
For more information go to: http://trueai.io/careers-deeplearning/.

Research Assistant @ Acadia Institute for Data Analytics, Acadia University, Announcement Date: 5 October 2016

The Acadia Institute for Data Analytics, Acadia University, is looking for a Research Assistant to work on a short-term machine learning project entitled “Deep Sequencing Learning for Smart Virtual Assistants”.  There is the potential for long-term work with the industry partner –Singolar.com  The project aims to develop, test & apply innovative sequential event models to predict customer actions and recommend company actions to achieve pre-configured business goals.  A Bachelor’s or Master’s degree in Math or Computer Science is required with a background in data analytics & machine learning; strong oral & written skills (a publication record would be welcome), and a track record of working effectively in a team on complex problems.  Specifically, the person should be proficient in programming with Python (preferred) or MATLAB;  have good knowledge of machine learning libraries like Theano, Tensor Flow, Keras; and have experience building accurate time series & sequential event models with recurrent neural networks and / or reinforcement learning algorithms. 

For more information and to apply, please see http://aida.acadiau.ca/job-postings.html .

Assistant Professor in Machine Learning @ DartmouthAnnouncement Date: 5 October 2016

Job Title: Assistant ProfessorDeadline: January 1, 2017Description: The Dartmouth College Department of Computer Science invites applications for a tenure-track faculty position at the level of assistant professor. We seek candidates who will be excellent researchers and teachers in the area of machine learning. We particularly seek candidates who will help lead, initiate, and participate in collaborative research projects within Computer Science and beyond, including Dartmouth researchers from other Arts & Sciences departments, Geisel School of Medicine, Thayer School of Engineering, and Tuck School of Business.
For more information and to apply:  https://apply.interfolio.com/37189

Full-time Tenure-Track Position @ Boston CollegeAnnouncement Date: 5 October 2016

The Department of Computer Science at Boston College invites applications for a full-time tenure-track faculty position at the rank of Assistant Professor, starting September 2017. We will begin reviewing applications on October 15, 2016, and will continue considering applications until the position is filled. Applicants should submit a cover letter, CV, and separate research and teaching statements.

Also, please arrange for three confidential letters of recommendation to be uploaded separately.

To upload your application’s material use apply.interfolio.com/37623


Deep Learning / NLP / Transfer Learning @Paris, Announcement Date: 5 October 2016

Riminder.net , French ai tech start­up created in 2016, is looking for enthusiastic, hardworking and autonomous Data Scientist that would like to make a difference in both the AI and the Employment.
We improve and distribute state of the art solutions in natural language processing in order to solve concerns in the recruitment field.

Please check-out our job description for more details : http://bit.ly/2drs0cG


envision.AI — Full and Part-Time Computer Vision and Deep Learning Positions, Announcement Date: 17 September 2016

envision.AI, based in Montreal Canada, is growing our team to usher in the latest advancements in deep learning and develop our VideoPixx technologies for automatic video analysis, ranking, frame selection and summary — a new way of thinking to unify video and image. We are looking for both talented computer vision and deep/machine learning practitioners and enthusiastic software engineers to work on both practical products and advancing deep learning research. Positions can be part-time or full-time depending on the situation. Location can also be accommodated. We support publication of your research and results.
Are you passionate about working in a flexible, well-compensated, entrepreneurial and stimulating environment to build state-of-the-art products? Let’s talk about you joining the team!

Further information positions available can be found on our website: envision.ai or contact us at careers (AT) envision.ai


Assistant Professor in Business Analytics at the Tepper School of Business, Carnegie Mellon University,  Announcement Date: 17 September 2016

Job Title: Assistant Professor in Business Analytics

Location: Pittsburgh, PA

Deadline: November 1, 2016

Description: Tenure-track position starting 9/1/2017. The ideal candidate will play an important role in advancing the school’s analytical approach to business, which is a long-standing differentiator of the Tepper School’s approach to business education & research. We are looking for candidates who can explore & solve business problems using quantitative methods utilizing big data or unstructured information.

For more information and to apply:  https://apply.interfolio.com/37175


Deep Learning Engineer @ Matterport, Announcement Date: 22 August 2016


Matterport is an immersive media technology company that is shaking up the 3D / VR world. Our team has built the first end-to-end system for creating, modifying, distributing, and navigating immersive 3D and virtual reality (VR) versions of real-world spaces on web and mobile devices. Matterport offers the world’s most inexpensive and simplest way to capture 3D spaces.
We are currently for people in the following openings:

Deep Learning Engineer

Computer Vision Researcher


Machine Learning Scientist @ Expedia, Geneva, Announcement Date: 22 August 2016

Expedia is looking for a deep learning/machine learning scientist to join the core product team in Geneva, Switzerland, powering search and sort for the world’s largest travel site. Your work will impact tens of millions of our customers. The main focus will be developing state of the art machine learning algorithms to power various features of the website and auction bids.  This is an applied machine learning research position for someone with a strong machine learning background. The applicant should be either a PhD in machine learning or an experienced machine learning practitioner from industry.  EU and Swiss Nationals.

https://expedia.wd5.myworkdayjobs.com/search/job/Switzerland—Geneva/Sr-Data-Scientist—Machine-Learning_R-11859-1


A Posdoctoral Associate Position @ University of Virgina with  Dr. Matthew Gerber’s Lab - Announcement date:  24 July 2016

The Department of Systems and Information Engineering at the University of Virginia seeks a Postdoctoral Research Associate to work in the laboratory of Dr. Matthew Gerber. This individual will conduct research in the areas of deep learning and natural language processing, with emphasis on discourse-level structures (rhetorical relationships). Responsibilities include all aspects of scientific/engineering research including design, execution, and interpretation of experiments. The individual will work independently and is expected to produce publications in high-impact, peer-reviewed conferences and journals. Research training will facilitate progress toward these goals. Candidates must have a Ph.D. in engineering or a related field and a documented record of research productivity and experience. At least 3 years of experience in relevant areas is required.

Please search for posting #0619014 in Jobs@UVA.

A Posdoctoral Associate Position @ Duke University Dr. Mazurowski’s Lab - Announcement date:  24 July 2016

“A Postdoctoral Associate position is available in an individual with expertise in machine learning and/or computer vision to join a research laboratory of Dr. Mazurowski at Duke University. The full announcement can be found: http://deckard.duhs.duke.edu/~mazurowski/positions/postdoc.html


Computer Vision and Machine Learning at Imagen NYC – Announcement date:  14 July 2016

Imagen is a venture-backed stealth medical technology startup based in NYC. They are building a world without diagnostic errors, and are partnering closely with a group of leading clinicians from Mayo Clinic, Hospital for Special Surgery, Mount Sinai, Stanford Medicine, Memorial Hermann and other leading institutions. They are hiring Senior Computer Vision Research Scientists (job link HERE). Please reach out directly to Alex Dresner, Imagen Co-CEO, if you’re interested. His email is: alex@imagentechnologies.com.


Deep Learning Engineers to Frostbite Labs (EA DICE)

We are looking for Deep Learning Research & Software Engineers to join our newly started Frostbite Labs team at EA DICE in Stockholm, Sweden. The purpose with Frostbite Labs is to explore new technologies and the creative opportunities that they can enable for our future games. The team are currently focusing on deep reinforcement learning and generative models.

Read more about the Research Engineer role here: http://www.dice.se/jobs/positions/research-engineer-deep-learning/

Read more about the Software Engineer role here: http://www.dice.se/jobs/positions/deep-learning-software-engineer-2/


Postdoc in Advanced Machine Learning for Multimodal Modeling of Affect and Attention Announcement Date: 13 June 2016

Location: South Bend, Indiana
Description: This postdoc researcher will develop and apply machine learning techniques in the hierarchical and temporal domains to model complex mental states (affect, attention, workload) and their unfolding temporal relationships from to multimodal data (video, audio, central and peripheral physiology, and eye gaze) in a number of interaction contexts (online learning, in-class learning, collaborative problem solving).The candidate will work under the supervision of Dr. Sidney D’Mello, who has joint appointments in the Departments of Computer Science and Psychology at Notre Dame. He/she will play a collaborative and co-leadership role in a vibrant research team encompassing postdocs, graduate, and undergraduate students.

Required Skills:
· Ph.D. in Computer Science, Artificial Intelligence, or a related field (at the time of hire)
· Research experience in advanced machine learning for temporal and hierarchical domains (e.g., probabilistic graphical models, recurrent neural networks, deep learning)
· Self-motivated with a strong work ethic and writing proficiency as evidenced by a strong publication record

For more info: http://www.postdocjobs.com/jobs/jobdetail.php?jobid=4018326


Machine Learning Data Scientist @ TCS Announcement Date: 12 May 2016
We are looking for candidates with a proven background and deep experience in dealing with real world data in one or more of the following areas: kernel methods, deep learning, large-scale machine learning, unsupervised and semi-supervised techniques, reinforcement learning, online learning, and related areas. We are particularly interested in candidates with skills necessary to apply machine learning to address complex cognitive tasks involving natural language understanding, dialog, exam-taking, automatic text generation and summarization, understanding technical documents and behavioral learning such as recognition of and appropriate reaction to emotional states. Interested candidates should apply by sending an email t0 andreas<dot>freund<at>tcs<dot>com.


Posdoctoral Fellow @ Sunnybrook Research Institute

Opening for a postdoctoral fellow at Sunnybrook Research Institute, affiliated to the University of Toronto. The successful applicant will work on the development of deep learning methods for medical image analysis in general and digital pathology in particular.

http://sunnybrook.ca/employment/position.asp?c=16&id=2762&page=34014


Postdoctoral scholar(s) for AI (computer vision and machine learning) and Healthcare @ Stanford - Announcement Date: 3 May 2016

Description: One of the most exciting, yet unexplored applications of artificial intelligence is in healthcare. At Stanford, a newly established collaboration between the School of Medicine and the Computer Science department focuses on developing cutting edge computer vision and machine learning technologies to solve some of healthcare’s most urgent and critical problems. PAC, Stanford’s Partnership  for AI-assisted Care, is co-directed by Prof. Arnold Milstein, a nationally recognized scholar and leader in healthcare innovation, also director of the Clinical Excellence Research Center at Stanford, and by Prof. Fei-Fei Li, a globally-distinguished researcher  in computer vision and machine learning, also director of the Stanford Artificial Intelligence Lab. PAC is now seeking 1-2 postdoctoral scholars to work with us to develop advanced computer vision algorithms in real-world healthcare settings.  For more information, please visit http://vision.stanford.edu/pac/openings.html.

Assistant Professor in Deep Learning @ University of Amsterdam – Announcement Date: 1 May 2016

Job Title: Assistant Professor

Location: Amsterdam, Netherlands

Deadline: 31 August 2016

Description: The tenure track position at the assistant professor level will be within the Amsterdam Machine Learning Lab (AMLAB) at the Institute for Informatics (IVI), Faculty of Sciences (FNWI), University of Amsterdam (UVA). AMLAB is lead by Prof. Max Welling and also includes Dr. Joris Mooij, and Prof. Ben Kröse as well as around 25 PhDs and postdocs. Other groups doing related deep learning research within IVI are the Intelligent Sensory Information Systems (ISIS) group (led by Prof. Arnold Smeulders), the Computer Vision (CV) group led by Prof. Theo Gevers, and the Information and Language Systems (ILPS) group (led by Prof. Maarten de Rijke). Prof. Welling also co-directs the Qualcomm-UVA deep learning & computer vision lab (QVA) with 12 PhD candidates and postdoctoral researchers.

For more info: http://www.uva.nl/over-de-uva/werken-bij-de-uva/vacatures/item/16-200-assistant-professor-in-deep-learning.html


Deep Learning Research Scientists @ SenseTime - Announcement Date: 29 April 2016

Job Title: Computer Vision / Deep Learning Research Scientists (Multiple Positions)

Company: SenseTime Group Limited
http://www.sensetime.com/

Location: Beijing, Shenzhen, and Hong Kong

Descriptions:
SenseTime Group Limited is an innovative Information Technology company that harnesses Deep Learning and Computer Vision as our core technologies.
We have multiple openings for full-time research scientists, and full-time student internships.

Interested candidates, please send your CV to recruit <at> sensetime <dot> com (with email title deeplearning.net+Your Name)


Deep Learning & Computer Vision Researcher and Developer @ Cynny S.p.A. - Announcement Date: 19 April 2016

Job Title: Deep Learning & Computer Vision Researcher and Developer

Company - Cynny S.p.A.

Location Firenze – Italy

Announcement Date: 15 Feb 2016

Job Description: Cynny SpA is seeking excellent researchers and developers in the field of Computer Vision and Machine Learning for inclusion in its research team based in Florence.

Project description: The project involves the construction of neural networks on mobile architectures for object detection and facial emotion recognition.

More details at: https://www.linkedin.com/jobs2/view/104804951

Web site: www.cynny.it/en

Machine Learning Research Scientists the @ Siemens - Anouncement Date: 14 April 2016

Job Description:

Siemens Corporate Technology is looking for research scientists with strong background in machine learning, deep learning and natural language processing to join the Product Design, Modeling and Simulation research group and help us build the next generation of predictive and fully-automated Computer Aided Design and Engineering tools. We are looking for highly technical team members that are driven and focused, have a passion for learning and teaching, and can thrive in small, collaborative, and agile teams. If you are such a person then we invite you to join our research team where we provide an exciting environment for you to be creative and develop cutting edge innovations in deep learning, NLP, robotics, and reasoning. You will have an opportunity to get involved in state-of-the-art application of deep learning to massive datasets coming from real world engineers and end-product users.

Application:

If you are interested contact to livio.dalloro <at> siemens <dot> com. Also check one of our current openings:  https://jobs.usa.siemens-info.com/jobs/151033/Princeton-NJ-Senior-Research-Scientist-Deep-Learning-for-NLP?lang=en-US”


Senior Scientist / Scientist / Intern positions in Deep Learning @ CuraCloud Corporation

Job Description:

CuraCloud Corporation is seeking talented deep learning & computer vision scientists and interns to help build our cloud-based data analysis platform in Seattle, USA. Our company is dedicated to providing precise computer-aided diagnosis software. As part of the team, you will design and develop deep learning algorithms for image recognition/retrieval/detection/segmentation/classification on 2D/3D medical imaging data.

Desired Skills & Experience:

- MS/PhD in CS/ECE/Statistics or related fields

- Proficient in C++/Python

- Expertise in Caffe is a big plus, experience in ITK/VTK preferred

- Top-tier publications (NIPS, PAMI, CVPR etc.) or proven successful industry experience

If interested, please send your full-length CV to: join@curacloudcorp.com


Postdoctoral positions at the University Of Notre Dame in Machine Learning, Deep Learning, Uncertainty Quantification and Data Sciences

Four postdoctoral positions at the University of Notre Dame are currently available with a starting date of July 1, 2016(actual days maybe negotiable) as part
of the Notre Dame interdisciplinary initiative for establishing the “Institute for Data Sciences and Predictive Modeling”.

For more info please contact Prof. Nicholas Zabaras nzabaras <at> gmail <dot> com  and visit http://www.zabaras.com/

A successful application should include:

1. A full length CV including computational skills and experience, knowledge of software and computational tools, list of specific
graduate courses taken in the specified research areas of interest, list of publications, etc.
2. Two professional references mailed directly to the email given earlier.
3. Three scientific articles.


Job Location: Firenze – Italy
Job Title: Deep Learning & Computer Vision Researcher and Developer

Cynny SpA is seeking excellent researchers and developers in the field of Computer Vision and Machine Learning for inclusion in its research team based in Florence. The project involves the construction of neural networks on mobile architectures for object detection and facial emotion recognition.

More details at: https://www.linkedin.com/jobs2/view/104804951


Postdoctoral Fellow in Machine Learning @ University of Toronto & University of Amsterdam

We are seeking a highly creative and motivated postdoctoral fellow to work jointly with two research groups: Richard Zemel, at the University of Toronto and Max Welling at the University of Amsterdam. The appointment will be at the University of Toronto but the candidate is expected to visit Amsterdam regularly.

The postdoc will be expected to work on the topic of deep learning on knowledge graphs. Potential specific projects include training variational auto-encoders on large graphs and extending recurrent models of learning in graphs, as well as developing applications, such as recommender systems and image question-answering. Other potentially relevant research projects include learning to make fair recommendations.

Applicants should hold a PhD in computer science and are expected to have a strong publication record in major machine learning conferences. Remuneration is competitive and commensurate with skills and track record.

The position is available immediately, with an initial one-year appointment and an expectation of extension to at least two years  given satisfactory performance.To apply, please send your CV along with a short statement of research interests to zemel at cs dot toronto dot edu, and welling dot max at gmail dot com.


Job Location: Silicon Valley
Job Title: Deep Learning Expert

Small, first-rate, well-funded team seeks deep learning expert to help build the eyes of the smarthome. Extensive knowledge of deep learning for computer vision required, as is competence with Linux, C++, and algorithms. Familiarity with Caffe and distributed systems a plus but not required.

Expect highly talented and interesting coworkers, including the perception lead from Stanford’s self-driving car and the cofounder of Google Street View. Highly competitive cash and meaningful company ownership included in compensation. Perks include the usual food and high quality health insurance, plus the opportunity to do super interesting and impactful computer vision work.

We’re funded by and partnered with Andy Rubin’s Playground: goo.gl/5pziOf

Send resume or profile to Edwin Jarvis <jarvis.courier@gmail.com>. Please include one paragraph describing the coolest thing you have built.

 


Job Location: Montreal, Quebec, Canada

Job Title: Research Scientist or Research Engineer
Announcement Date: 12 Feb 2016
Job Description

Maluuba is seeking full time researchers and research interns to join Maluuba’s Research team. Our group is committed to advancing the field of artificial intelligence and is active in the wider research community. As part of the research team, you will design and develop deep learning models for natural language and conversational dialogue systems. You will be required to productively contribute to a team and may have to solve research and engineering problems related to training / deployment of models. These include but are not limited to hardware and software efficiency and preparation/cleaning and collection of data. You will also have the opportunity to test your knowledge in a challenging problem-solving environment. Our research oriented culture demands coming up with out-of-the-box and innovate solutions to solve real-life problems.

Desired Skills & Experience

- Ph.D Graduate/Student in Computer Science, Statistics or related fields – Experience applying deep learning approaches such as recurrent neural networks, deep convolutional neural networks and/or recursive neural networks – Fluency in Python, Java, C/C++ or other related languages – Strong scientific curiosity and initiative – Ability to work as part of a team – Hands on experience with at least one of the following tools: Theano, Pylearn/Pylearn2 , Torch or a similar toolkit Experience with Natural language processing is not required.

Apply directly at: vikas < AT> maluuba.com