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… When the position is filled please keep us informed, so we can remove the announcement:   ​



Postdoctoral Innovation Research Associate Fellowship – Saccade Diagnostics, Edinburgh, UK, Announcement date: 20 June 2017

Saccade Diagnostics is looking for a Postdoctoral Innovation Research Associate Fellowship in Machine Learning. Classifiers for Mental Health DiagnosticsThis is an opportunity for an experienced professional researcher to join our world leading team in developing next generation machine learning (ML) classifier models to help interpret eye movement abnormalities in a range of psychiatric illnesses. This will involve working with eye movement data previously obtained from patients as well as healthy controls. The successful candidate will drive the forward thinking approach on the use of the novel technology that will influence the scalability of our product line and overall direction of the company.
The link to the full job description is at

Applied Research Scientist – Spreemo, New York, NY, USA, Announcement date: 12 June 2017

At Spreemo we believe that advanced data science can prevent serious misdiagnoses and poor outcomes. Using that approach, Spreemo has helped tens of thousands of injured employees at Fortune 500 companies recover better, faster, and more affordably, fueling our rapid ascent as one of the 100 fastest-growing tech companies in North America. As an Applied Research Scientist, you will leverage the latest ML techniques and your deep software development background to help fix America’s broken healthcare system. Join the brightest minds in medicine, technology, and venture investing in our fight to democratize access to high-quality, cost-efficient care.

Research Engineer: Artificial Intelligence – Aurora , UK , Announcement date: 24 May 2017

We are recruiting a highly-qualified Research Engineer into the Core Technology Team, to help in the continued expansion of our technology in face recognition and AI systems. We are looking for intelligent, enthusiastic software engineers and computer scientists, with a PhD and background in machine learning, ideally with a strong focus on AI and Deep Learning. Excellent software engineering ability is vital to take academic theory through to a practical working system.
Please email CVs to Dr. Przemyslaw Szeptycki ( with job reference: CTR-017-05

Data scientist, Machine learning – Warwick Analytics London, UK, Announcement date: 24 May 2017

We are looking for a data scientist with experience in machine learning, Python, R or Matlab, to help us build innovative products that have already made an impact in the manufacturing industry. You will at times need to face customers to understand their challenges and help them to create a solution based on our products, in the other hand, you will also be involved in research to improve our technology.
See details at:​

Computer Vision Specialist, Deep learning – Neurometric, Montreal, Announcement date: 19 May 2017
Neurometric is offering a unique opportunity to be a key member of a startup team that will develop a SaaS offering innovative computer vision and machine learning solutions for the advertising industry (Fortune 500). We are looking for an independent and talented computer vision specialist with a strong background in machine learning (deep learning). See details at

Data Scientists – ArcelorMittal, Europe, Announcement date: 12 May 2017

Would you like to work in an R&D environment with other Data Scientists, Data Engineers and Decision Optimization Experts like you? Would you like to travel (to Belgium, France…) and discover new cultures? Would you like to see that your work has a huge impact and your applications will be implemented worldwide?
Application: Join us! ArcelorMittal Global R&D Asturias. The Digital Research Programme For additional information:

Machine learning and automation Postdoc/PhD positions – The Advanced Robotics and Controls Lab, San Diego, CA, Announcement date: 10 Mai 2017

The Advanced Robotics and Controls Lab at UCSD has several post-doctoral and PhD students positions for immediate hire in the area of machine learning and automation for surgical robotics. The researcher will work on planning, decision making, and control for surgical telerobots, and in particular, deep reinforcement learning and inverse optimal control. The work will involve interacting with clinicians and other engineers in a multidisciplinary group, and has applications in civilian and military medicine.  The postdoctoral researcher will join the group of Prof. Michael Yip  UC San Diego)<>. More details;

Application Developers in Machine/Deep Learning – EPFL, Lausane, Suisse, Announcement date: 10 Mai 2017 The Blue Brain Project is currently looking for a C++/Python Developer for Deep/Machine Learning.   To strengthen its Machine/Deep Learning team. : The BBP provides the community with regular releases of data, models and tools to accelerate neuroscience discovery and clinical translation through open science and global collaboration.

Applied Research Scientist, Machine Learning – Kira Systems, Toronto, Canada, Announcement date: 8 Mai 2017
Kira Systems is looking for a computer scientist to join our research team. We focus on document and language understanding tasks, using a variety of techniques. In particular, we’d like to add someone who has deep learning experience to complement the skills of existing team. As a member of our research team you will have a lot of independence in your approach to the problems in our domain and your implementation of prototypes. Kira Systems builds machine learning software for due diligence document review. Our customers include some of the world’s best law firms, professional service firms, and corporations. They use Kira to quickly and accurately review and analyze contracts for due diligence, real estate and financial transactions, as well as contract management.
Full details here:

R&D Engineer Autonomous Driving – TomTom, Amsterdam, NL Announcement date: 4 Mai 2017

At TomTom we are seeking a computer vision and machine learning R&D engineer for our Autonomous Driving team. From the headquarters in Amsterdam, NL, you are researching world class algorithms and models to innovate our map technology for self-driving cars, and to automatically extract features relevant for autonomous driving. We have some of the largest labelled maps-related databases in the world. This puts us in a unique position to advance highly automated driving and impact the future of driving. + We are close to the research community and work on cutting edge algorithms and models. + Your innovative solutions will be put to practice, changing people’s everyday lives.

PhD Position in Bioinformatics / Machine Learning – Laval University, QuebecAnnouncement date: 28 April 2017

A fully funded PhD position is available at the Bioinformatics Facility at CHU de Québec – Université Laval. The candidate will work on the computational problems involved in real-time classification/clustering of mass spectrometry analytes using data from a prototype mass spectrometer. A degree in bioinformatics, statistics, computer sciences or in a related discipline is required.
Please find the full description at:

Ph.D. positions in Deep learning – Auburn University, USA, Announcement date: 27 April 2017
Multiple fully funded Ph.D. positions (supported via research assistantships) are available in the fascinating area of Deep Learning at Anh Nguyen’s lab at Auburn University, USA.
+ Preferred qualifications: A strong mathematical background and good programming skills.
+ Deadlines: May 15 to start in Fall 2017 or Aug 15 to start in Spring 2018.
Please send your inquiries or applications to

Assistant professor on Deep Reinforcement Learning – University of Amsterdam, Netherlands, Announcement date: 20 April 2017

AMLAB at the U. Amsterdam is announcing an opening for a new tenure track assistant professorship in deep reinforcement learning (or associated field). AMLAB is directed by M. Welling. For more information about the position, please follow the following link:

Machine learning engineering lead – Lenovo, North Carolina, United States,  Announcement date: 18 April 2017

Lenovo is one of the fastest growing technology companies on the planet! We are seeking an individual to work in a creatively flexible atmosphere with nascent algorithms and hardware prototypes. MUST have a deep understanding of Machine Learning algorithms and at least 3 years professional experience solving real world problems. In this role you’ll be helping the Contextual Computing Group build learning algorithms leveraging data sets consisting of millions of user actions per day to model, analyze and predict user behaviors. Come share in the discoveries that are forged from our shared achievements at Lenovo as we drive the next generation in technology!
Link to Job Ad:

Machine learning lead engineer – Huya, ChinaAnnouncement date: 12 April 2017

Huya Live ( is China’s leading interactive broadcast platform, provides users with high-definition, smooth and rich interactive video live service. We are looking for machine learning lead engineer. In this position, you’ll work with the team building the next generation intelligent video recognition platform. We expect candidates to be PhD in CS/EE specializing Machine Learning, Deep Learning or computer vision areas. Master degree with industry experience can be considered.
For more details please check,

Postdoctoral research position – Georgia Institute of Technology, Atlanta, GAAnnouncement date: 11 April 2017

I’m hiring for a postdoc position at the intersection of Machine Learning and Computer Vision at the Georgia Institute of Technology (Atlanta, GA).  Key technical elements of the work are likely to include learning visual attributes and manifold modeling of image transformations.  Full details here:

Deep Learning Engineer – HypeVR, San Diego, CAAnnouncement date: 7 April 2017
HypeVR is looking for deep learning engineer to develop solutions for 6DoF VR ( You need to be fluent in C++ and Computer Vision. Please contact for more details.

Postdoctoral research fellow – Karolinska Institutet, Stockholm, SwedenAnnouncement date: 5 April 2017

A postdoctoral position in 3D image analysis of intra-tumor heterogeneity is immediately available in the Crosetto lab for Quantitative Biology and Technology ( with the goal of studying phenotypic, genetic, and transcriptional intra-tumor heterogeneity by high-throughput microscopy imaging of serial tissue sections from different tumor types and hundreds of patients. The position is funded through a 33 million SEK research grant (Integrated Visualization of Intra-Tumor Heterogeneity) recently awarded to Dr. Crosetto by the Swedish Foundation for Strategic Research (SSF).

Applied Deep Learning Postdoctoral Fellowship – National Research Council of Canada, OttawaAnnouncement date: 4 April 2017

This is a 2 year postdoctoral position ($64,000/year) aimed at applying deep learning to problems in energy and nano science. We are a computational physics group at a National Laboratory in Canada. The position is ideally suited for recent graduates who are interested in applying their technical skills to challenging and important problems in deep learning.
Please find a link to the full description

Senior Data Scientist – SAP – Walldorf/St. Leon-Rot, BW, DE Announcement date: 3 April 2017

As a Senior Data Scientist / Data Science Expert for our Deep Learning Center of Excellence, you will solve our customer’s biggest business challenges with deep learning models. Requires 5+ years of professional experience. Need hands-on experience with one or more leading deep learning frameworks (TensorFlow preferred; CNTK, MxNet, Caffe, Theano, Torch etc. a plus)

(Associate) Data Scientist – SAP – Walldorf/St. Leon-Rot, BW, DEAnnouncement date: 3 April 2017

You will turn initial models into scalable production APIs on SAP’s cloud platform to integrate into existing and new offerings. Graduates and those with under 4 years experience are invited to apply. Requires hands-on experience with one or more leading deep learning frameworks (TensorFlow preferred; CNTK, MxNet, Caffe, Theano, Torch etc. a plus).

Senior Developer – SAP – Walldorf/St. Leon-Rot, BW, DE Announcement date: 3 April 2017

Lead encapsulation of deep learning models in scalable cloud services. 5+ years of professional experience required. Requires familiarity with convolutional neural networks, recurrent neural networks, reinforcement learning, generative adversarial networks, and memory networks.

(Associate) Developer – SAP – Walldorf/St. Leon-Rot, BW, DE Announcement date: 3 April 2017

You will work with product and solution units to solve our customer’s biggest business challenges with machine learning models. Students and those with under 4 years experience are welcome to apply. Requires hands-on experience with one or more leading deep learning frameworks (TensorFlow preferred; CNTK, MxNet, Caffe, Theano, Torch etc. a plus).

Developer / Senior Developer – SAP – Singapore, Announcement date: 3 April 2017

Initiates and participates in projects in the area of prediction, optimization, and processes using advanced statistical / mathematical approaches. At least 5 years of experience in deep learning / machine learning / data science development projects with a focus on innovation. Proficiency in handling of multi-terabyte datasets in big data frameworks.

Developer / Senior Developer – SAP – Singapore, Announcement date: 3 April 2017

This role combines machine learning with huge data sets, associated processes and business implications, and building and maintaining innovative new products from the ground-up. Requires track record of developing novel learning algorithms and/or systems. Requires experience with Deep Learning software packages & libraries such as Caffe, Torch, Theano, TensorFlow, Scikit-learn, DeepLearning4j and programming languages such as Python, C++, Java, Scala etc.

Data Scientist / Tech Lead-NLP – Grubhub – New York, Announcement date: 23 March 2017

Hungry for a new venture? Grubhub is hiring a Data Scientist, Tech Lead-NLP to join our rapidly growing data team in NYC. About you: Strong Text Mining and NLP track record and work experience using large unstructured datasets doing Topic Modelling, Sentiment Analysis, Entity Recognition, Question Answering etc. Relevant Deep Learning experience will be of immense value. Advanced SQL, Python, and Spark. About us: Tacos, Beer, Big data..

Machine Learning Specialist – Corti – Copenhagen , San Francisco Announcement date: 22 March 2017

Corti is a diverse group of rocket scientists, researchers, visionaries, and developers and we are expanding rapidly in both Copenhagen and San Francisco. This is the perfect time to get on board and play a vital role in shaping a new and more seamless way for people to interact with the world of tomorrow.

Please find a link to the full description@

Quantitative Researcher:  Machine Learning – Jump Trading – New York , ChicagoAnnouncement date: 20 March 2017

Researchers at Jump Trading study the global electronic markets, using modern machine learning techniques to uncover signals and develop trading algorithms from large and varied datasets. We are looking for talented researchers to join this community: people who can combine a strong background in machine learning with a high level of scientific ingenuity and intellectual curiosity to solve challenging and fundamental problems in the area of high-frequency finance. No experience in finance is required. You can be located in either of New York or Chicago.

Research Scientist – Bosch Center for Artificial Intelligence – Bosch – Renningen, Germany, Announcement date: 17 March 2017

The newly founded Bosch Center for Artificial Intelligence has several open research positions located at our research campus in Renningen, Germany:

Postdoc and research positions in deep learning in medical imaging – CRL – Boston, USA,  Announcement date: 17 March 2017

The Computational Radiology Laboratory (CRL) at Boston Children’s Hospital, Harvard Medical School is seeking postdoctoral research fellows and researchers to develop deep learning methods in medical imaging in projects funded by the National Institutes of Health. Please contact:, web:

Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis – ICS – Colorado, Announcement date: 17 March 2017

The Institute of Cognitive Science (ICS) and Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time  postdoctoral fellow starting Summer/Fall 2017 for one year and renewable for a second year. The position includes a competitive salary commensurate with experience and full benefits. Review of applications will begin immediately and continue until the position is filled.
Please complete Faculty/University Staff EEO Data (application) form ( and upload the following required documents: 1—Cover letter; 2—Curriculum Vitae 3—List of Three References 4-One or two representative publications.

PhD sch0larships – Machine  learning – Macau University of Science and Technology, China,  Announcement date: 28 February 2017 

Two three-year PhD positions are available at the Faculty of Information Technology, Macau University of Science and Technology. The candidates who are awarded the scholarships wll commence their PhD degree programme on 1st September 2017. The PhD students will be part of a strong team in machine learning and bio-medical data analytics. Please contact Alex Leung ( ) at email address for enquiries.

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.

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:

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’.
See for more information

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:

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:

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.

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.

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:

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 for more information.