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Jobs Posted on the Whova Community Board of 43rd EUROPEAN CONFERENCE ON INFORMATION RETRIEVAL (ECIR 2021)

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Ph.D. Student Wanted (full-time/100%) - IE/event extraction
on request
I will likely have a paid PhD position (100%/full-time, pending approval) in the area of IE/event extraction (IE/NLP/ML/IR/programming expertise and English/German language skills required). Get in touch if you're interested in working with me at leidner at acm.org.
Link: http://jochenleidner.com/
Several Tenure-track Faculty positions at University of Glasgow
University of Glasgow
The University of Glasgow, School of Computing Science, is advertising upto 8 tenure-track faculty positions with direct relevance to Search/Information Retrieval, Natural Language Processing and Recommender Systems:
- Responsible AI (x4)
- Machine Learning
- Healthcare Tech (x3)

and upto 3 more tenure-track faculty positions in Low-Carbon Computing with relevance to ML+IR+BigData+Smart Cities. #IR #Search #NLP #RecSys #Jobs

Further details at: https://bit.ly/2O1psbC

Deadline is 26th April. If interested, do feel free to get in touch with Iadh Ounis
Link: None
AI Engineer
Jina AI
As Backend Software Engineer, your primary responsibility is to keep Jina framework (https://get.jina.ai) stable, scalable and state-of-the-art, by adapting latest cloud-native techniques. You will work with Jina community and our AI engineers to integrate the SOTA AI models into Jina.
-Master in Computer Science or related degree.
-1y+ experience of building search systems
-1y+ experience with Cloud-Native techniques. Good understanding of web services, containerization, database, and modern software architectures.
-1y+ experience on multi-threading/-processing programming.
-1y+ experience on using Kubernetes and Docker swarm.
-1y+ of using Approximate Nearest Neighbors libraries, e.g. faiss, mslib, annoy, scann, and etc.
-1y+ experience on with Protobuf and gRPC.
-Passionate about search & AI technologies. Open to collaborating with colleagues & external contributors & designers
-Maintained/contributed open-source projects, familiar with the agile software development process, CICD workflow, ticket management, code-review, version control etc.
-Good English communication skills.
Link: https://jobs.lever.co/jina-ai
Search Engineer
Jina AI
As Search Engineer, your primary responsibility is to keep Jina framework (https://get.jina.ai) state-of-the-art, by adapting the latest deep learning, computer vision, natural language processing technologies from the academic and open-source community.
Required Qualifications
Master in Computer Science or related degree.
3y+ in the search/AI-related field.
5y+ Python experience.
2y+ Deep learning framework experience
Passionate about search & AI technologies. Open to collaborating with colleagues & external contributors.
Good understanding of the mainstream deep learning models from multiple domains: computer vision, NLP, reinforcement learning, model optimization, etc.
2y+ experience on deep learning frameworks, e.g. Tensorflow, Pytorch, MXNet, PaddlePaddle. Able to implement the latest DL model using existing API, open-source libraries in a short time.
Skilled at two of these programming languages: Python 3, C/C++, Go, Java, Javascript, Shell script.
Contributed to open-source projects, familiar with the agile software development process, CI/CD workflow, ticket management, code-review, version control, etc.
Hands-on experience with Cloud-Native techniques. Good understanding of web services and modern software technologies.
Good English skills especially for writing and reading documentation.
Link: https://jobs.lever.co/jina-ai
Applied Scientist - Alexa Shopping
Amazon
You: Alexa, I am looking for a new career opportunity, where I could do innovative development in AI and impact millions of customers, what do you suggest?
Alexa: The Alexa Shopping team is looking for Applied Scientists to help me become the best personal shopping assistant. Do you want to hear more?

The ideal candidates have deep expertise in one or several of the following fields: Information Retrieval, Web search, Web data mining, Machine Learning, Natural Language Processing, Artificial Intelligence. An ideal candidate shows a bias for action and has a strong understanding of empirical methods. The ability to write clearly and speak convincingly as evidenced through participation in academic conferences and service in the scientific community are a must.

Link: https://www.amazon.jobs/en/jobs/1177720/applied-scientist-alexa-shopping?no_int_redir=1
Applied Scientist-Amazon Search
Amazon Search
The Amazon Search Trust team is on a mission to to provide customers with confidence and trust in the Amazon Search shopping experience. We identify problems that are customer trust busters at Amazon, deliver scalable and responsive solutions to these issues, and build experiences that gain customer trust. We build tools and processes for other teams to measure their impact on search trust and make data-driven trade-offs. We carefully monitor the trustworthiness of the search results and dive deep when we see an unusual pattern. Without our efforts, customers will fall for untrustworthy items and have lower customer satisfaction post-purchase, and Amazon will become a marketplace where genuine sellers will feel disadvantaged.
Applied Scientist-Amazon Search
Amazon Search Ai
The Amazon Search team creates powerful, customer-focused search and advertising solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, our services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day.
Within Amazon Search, the Midas team has a mission to solve customer problems that require advancing the state of the art in machine learning. We work backwards from the customer to create value for them by addressing an underlying, unsolved scientific problem. We deploy our solutions through distributed systems that operate at millisecond latencies at Amazon scale. We strive to publish our solutions and open-source our software so that the broader scientific community can benefit.
As an applied scientist on our team, your role is to leverage your strong background in Computer Science and Machine Learning to help build the next generation of our model development and assessment pipeline, harness and explain rich data at Amazon scale, and provide automated insights to improve machine learned solution that impact millions of customers every day. This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations. The ideal candidate will have experience with machine learning models and information retrieval system. We are particularly interested in experience applying natural language processing, deep learning, and reinforcement learning at scale. Additionally, we are seeking candidates with strong rigor in applied sciences and engineering, creativity, curiosity, and great judgment.·
Link: https://www.amazon.jobs/en/jobs/1375400/applied-scientist?no_int_redir=1
Applied Science Manager-Amazon Search
Amazon Search Ai

Digital Content is a growing multi-disciplinary team addressing everyday customer needs through a combination of software engineering, web development, hardware development, and applied research. Today the online shopper's largest friction is evaluating fit and size, and other details. Our team’s ultimate goal is for customers to easily discover items they will like and to get the right one the first time they look for it.

As an Applied Science Manager, you will be the technical lead on a team using Amazon’s large-scale computing resources to build models describing best suited recommendations and work with domain experts and engineers to turn those models into production solutions. You will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML. Your work will directly benefit customers and the Digital Content business, such as Kindle, Amazon Music, Audible and much more. We are looking for a passionate, hard-working, and talented Applied Science Manager who has experience building mission critical, high volume applications that customers love. You will have an enormous opportunity to lead and make a large impact on the design, architecture, and implementation of cutting edge products used every day, by people you know.

Link: https://www.amazon.jobs/en/jobs/937593/applied-science-manager?no_int_redir=1A
Sr. Applied Scientist-Amazon Fashion
Amazon Fashion
Interested in driving thought leadership on customers discovering Private Brands? We’re building intelligent data models and NLP algorithms that will transform digital marketing discovery for Private Brands at Amazon. Come join us!

We are looking for a senior scientist to lead innovation for our discovery efforts across all placements and all page types by developing innovative algorithms to determine the right content to serve within the right context. This role has a significant global revenue impact. At the heart of our discovery engine are systems for optimizing query sourcing, merchandising allocations, experimentation infrastructure, machine learning methods for inference and metrics-driven closed loop optimizations. This Senior Applied Scientist is responsible for innovation aimed at step-changing these systems, and accelerating the pace of Machine Learning and Optimization. In addition, this scientist will be required to invent new approaches in solving challenging problems like cold start product recommendation, real-time learning customer intent and personalizing contents and optimizing trade-offs between incremental Private Brands sales and the foregone advertising opportunities.
Link: https://www.amazon.jobs/en/jobs/1374995/sr-applied-scientist?no_int_redir=1
Applied Scientist-The Amazon Economic Technology team
Amazon
The Economic Technology team (ET) is looking for a Senior Applied Scientist to join our team in building Reinforcement Learning solutions at scale. The ET applies Machine Learning, Reinforcement Learning, Causal Inference, and Econometrics/Economics to derive actionable insights about the complex economy of Amazon’s retail business. We also develop Statistical Models and Algorithms to drive strategic business decisions and improve operations. We are an interdisciplinary team of Economists, Engineers, and Scientists incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon.

You will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed services. You will partner with scientists, economists, and engineers to help invent and implement scalable ML, RL, and econometric models while building tools to help our customers gain and apply insights. This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale economic problems, enable measurable actions on the Consumer economy, and work closely with scientists and economists. We are particularly interested in candidates with experience building predictive models and working with distributed systems.


As a Senior Applied Scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.

Link: https://amazon.jobs/en/internal/jobs/1399089/applied-scientist
Applied Scientist-Amazon Seller Support
Amazon Seller Support
How can we use Machine Learning (ML) to optimize our headcount planning process in call centers to optimally support our sellers, vendors, brands and associates? How can we leverage forecasting models to predict key planning inputs such as Average Handle Time, Incoming Seller /Vendor contacts, Associate Attrition etc.? How to optimize day-to-day staffing by leveraging intra-day data on multiple key planning inputs? How can we evaluate the causal impact of various targeted programs that aim to improve associate productivity and job satisfaction, seller retention etc.?

The answers to these questions and others like them are core to helping Amazon’s Marketplace business thrive and expand, including delivering best-in-the-class seller, vendor and call center associate experience. Our cross-functional team works closely with various stakeholders world-wide such as Finance, Operations, Regional Capacity Planners, Global Planning, Hiring and Training to help them make data-driven business and hiring decisions.


Using AWS’ large-scale computing resources the Applied Scientist (AS) will build ML models to optimize the headcount planning process. The AS will work with domain experts and engineers to help put those models into production and continuously improve their performance. The AS will interact with the Amazon ML community and mentor Scientists and Software Development Engineers with a strong interest in ML. Your work will directly benefit sellers, vendors, brands and associates on the Amazon Marketplace platform. We are looking for a passionate, hard-working, and talented AS who has experience building mission critical, big-data analytics solutions that deliver actionable insights.

Link: https://www.amazon.jobs/en/internal/jobs/1394675/applied-scientist-ii
Sr. Applied Scientist-Alexa Shopping
Amazon Alexa Shopping
You: Alexa, I am looking for a new career opportunity, where I could conduct applied research, impact millions of customers, and publish about it in top conferences. What do you suggest?
Alexa: The Alexa Shopping team is looking for brilliant applied researchers to help me become the best personal shopping assistant. Do you want to hear more?
You: Yes, please!
Alexa: As an applied researcher in the Alexa Shopping Research team, you will be responsible for research, design, and implementation of new AI technologies for voice assistants. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will inventing, experimenting with, and launching new features, products and systems. Ideally you have a expertise in at least one of the following fields: Web search & data mining, Machine Learning, Natural Language Processing, Computer Vision, Speech Processing or Artificial Intelligence, with both hands-on experience and publications at top relevant academic venues.

Link: https://www.amazon.jobs/en/jobs/1298725/senior-applied-scientist-alexa-shopping?no_int_redir=1
Sr. Applied Scientist-Amazon Books
Amazon Books
Amazon is looking for creative Applied Scientists to tackle some of the most interesting problems on the leading edge of natural language processing (NLP), machine learning (ML), search and related areas with our Amazon Books team. At Amazon Books we believe that books are not only needed to work, education and entertainment, but are also required for a healthy society. As such, we aim to create an unmatched book discovery experience for our customers worldwide. We enable customers to discover new books, authors and genres through sophisticated recommendation engines, smart search tools and through social interaction, and we need your help to keep innovating in this space.

If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast-paced environment working within a smart and passionate team, this might be the role for you. You will develop and implement novel algorithms and modeling techniques to advance the state-of-the-art in technology areas at the intersection of ML, NLP, search, and deep learning. You will innovate, help move the needle for research in these exciting areas and build cutting-edge technologies that enable delightful experiences for hundreds of millions of people.

In this role you will:
· Work collaboratively with other scientists and developers to design and implement scalable models for accessing and presenting information;
· Drive scalable solutions from the business to prototyping, production testing and through engineering directly to production;
· Drive best practices on the team, deal with ambiguity and competing objectives, and mentor and guide other members to achieve their career growth potential.
Link: https://www.amazon.jobs/en/jobs/1234398/senior-applied-scientist?no_int_redir=1
NLP Applied Scientist-Amazon Community Shopping
Amazon Community Shopping Team
Customer Reviews, Deals and Content Moderation are community driven experiences that are key to the Amazon experience worldwide. Join the applied research team in Berlin, Germany supporting Community Shopping and driving the customer experience for these important programs.

The problems are real, with tangible customer impact. The work sits at the intersection of research and engineering, driving better quality in our reviews corpus, ensuring appropriate content across customer-submitted content at massive scale. You will partner closely with our engineering teams to develop novel algorithms, present your work to product and engineering teams at Amazon, publish scientific papers and apply for patents for your inventions.

We are an applied research group in Berlin, Germany creating novel solutions in collaboration with product and engineering teams at the core of some of Amazon’s biggest and most engaged systems. If that sounds interesting for you and if you would like to live in one of the most exciting places of the world, then we have the perfect role for you. We have open Applied Scientist positions for all levels of experience and this is what we are looking for:

Major Responsibilities:
· Design, implement and evaluate novel ML algorithms
· Work on large-scale datasets, creating scalable, robust and accurate models
· Collaborate closely with engineers to drive systems from prototyping to production level
· Collaborate with teams spread all around the world
Link: https://www.amazon.jobs/en/jobs/1274706/nlp-applied-scientist?no_int_redir=1
Sr. Applied Scientist-Amazon Search
Amazon Search Ai
As a Senior Applied Scientist on this growing team, you will take on a key role in improving the NLP and ranking capabilities of the Amazon product search engine. Our ultimate goal is to help customers find the products they are searching for, and discover new products they would be interested in. We do so by developing NLP components that cover a wide range of languages, not only English and major languages of Europe, but also Turkish, Arabic, Japanese, and more. The team plays a central role in search query understanding, product indexing, and representations/embeddings of queries and products, all of which aid in improving the ranking and relevance of search results.

This is a rewarding role where you will be able to draw a clear connection between your work and how it improves the experience of millions of Amazon customers across the globe every day. You will propose and explore publication-worthy innovation in NLP and IR to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production search engine that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.

Your responsibilities include:
· Analyze the data and metrics resulting from traffic into Amazon's product search service
· Design, build, and deploy effective and innovative ML solutions to improve various components of the search stack, such as indexing, ranking, and query understanding
· Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production
· Publish and present your work at internal and external scientific venues in the fields of ML/NLP/IR
Link: https://www.amazon.jobs/en/jobs/1405554/senior-applied-scientist-nlp-ir?no_int_redir=1
Applied Scientist-Alexa Shopping
Amazon Alexa Shopping
You: Alexa, I am looking for a new career opportunity, where I could conduct applied research, impact millions of customers, and publish about it in top conferences. What do you suggest?
Alexa: The Alexa Shopping team is looking for brilliant applied researchers to help me become the best personal shopping assistant. Do you want to hear more?
You: Yes, please!
Alexa: As an applied researcher in the Alexa Shopping Research team, you will be responsible for research, design, and implementation of new AI technologies for voice assistants. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will inventing, experimenting with, and launching new features, products and systems. Ideally you have a expertise in at least one of the following fields: Web search & data mining, Machine Learning, Natural Language Processing, Computer Vision, Speech Processing or Artificial Intelligence, with both hands-on experience and publications at top relevant academic venues.
BASIC QUALIFICATIONS

· PhD in Computer Science, or related field
· Strong Computer Science foundations (data structures and algorithms)
· Solid coding skills, proficiency with programming languages such as C/C++, Java, or Python
· Several publications at first-tier peer-reviewed research conferences or journals
· Good writing and verbal English skills
Link: https://www.amazon.jobs/en/jobs/1442650/applied-scientist-alexa-shopping?no_int_redir=1
Sr. Applied Scientist-Amazon InTech Team
Amazon
Amazon is looking for a passionate, talented, and inventive applied scientist with Machine Learning and optionally Search background to join the International Search team. As an applied scientist, you will invent, build and deploy state of the art machine-learning models and systems to enable and enhance the team's mission—real world incarnations of some of the most difficult academic problems.
You will work with the largest online retail search application in the world, both in terms of users, catalogue size, and computing resources, and your work will directly impact millions of our customers. You will collaborate with recognized experts in science and engineering to develop novel algorithms and modeling techniques to advance the state-of-the-art in search and natural language processing. You will partner closely with our engineering teams, present your work to product and engineering teams at Amazon, publish scientific papers and apply for patents for your inventions.

Responsibilities:
· Work on research projects in machine learning and related fields to create highly innovative customer experiences;
· Analyze large amounts of data to discover patterns, find opportunities, and develop highly innovative, scalable algorithms to seize these opportunities;
· Validate models via statistically rigorous experiments across millions of customers;
· Work closely with software engineering teams to build scalable prototypes for testing, and integrate successful models and algorithms in production systems at very large scale;
· Work side by side with fellow applied scientists in the team.
Our team is located in our European headquarters in Luxembourg, in the heart of Europe.
Link: https://www.amazon.jobs/en/jobs/1393813/senior-machine-learning-applied-scientist?no_int_redir=1
Applied Science Manager-Amazon InTech Team
Amazon InTech Team
Amazon is looking for a passionate, talented, and inventive Applied Scientist Manager with Machine Learning and optionally Search background to join the International Search team. You will manage a team of Applied Scientists and Engineers, working on state of the art machine-learning models and systems to enable and enhance the team's mission.
You will work with the largest online retail search application in the world, both in terms of users, catalogue size, and computing resources, and your work will directly impact millions of our customers. You will collaborate with recognized experts in science and engineering to develop novel algorithms and modeling techniques to advance the state-of-the-art in search and natural language processing.

Responsibilities:
· Work on cross-functional projects in machine learning and related fields to create highly innovative customer experiences;
· Enable your team to build scalable prototypes for testing, and integrate successful models and algorithms in production systems at very large scale;
· Own the team charter from end to end: including the product vision, direction, roadmap and the growth of the team.
· Communicate effectively with senior management as well as with colleagues from business, science, and engineering backgrounds
· Support the career development of your team members
Our team is located in our European headquarters in Luxembourg, in the heart of Europe.
Link: https://www.amazon.jobs/en/jobs/1393861/manager-applied-science?no_int_redir=1
Applied Scientist-Alexa Shopping
Amazon Alexa Shopping
You: Alexa, I am looking for a new impactful role where I could tackle the next big research challenge, what do you suggest?

Alexa: The Alexa Shopping team is looking for applied research leaders/scientists to help me become the best personal assistant. Do you want to hear more?

You: Yes, please!

Alexa: As an Applied Scientist in the Alexa Shopping team, you will be investigating and developing machine learning and natural language processing technologies to help Alexa turn into the best and most trustworthy personal assistant.

The team you will specifically be working with has expertise in deep learning, user modelling, probabilistic modelling, natural language processing, information retrieval, crowdsourcing, and other related fields. We employ all these technologies to continually improve the experience of Alexa customers, focusing on the shopping domain. Your work within this team will combine research on machine learning and natural language processing, systems and software development, exploration of new technologies, as well as publications and presentations at top scientific conferences.

Link: https://www.amazon.jobs/en/internal/jobs/1465214/applied-scientist-information-retrieval-and-natural-language-processing
Sr. Applied Scientist-Amazon Search
Amazon Search Ai
As a Senior Applied Scientist on this growing team, you will take on a key role in improving the NLP and ranking capabilities of the Amazon product search engine. Our ultimate goal is to help customers find the products they are searching for, and discover new products they would be interested in. We do so by developing NLP components that cover a wide range of languages, not only English and major languages of Europe, but also Turkish, Arabic, Japanese, and more. The team plays a central role in search query understanding, product indexing, and representations/embeddings of queries and products, all of which aid in improving the ranking and relevance of search results.

This is a rewarding role where you will be able to draw a clear connection between your work and how it improves the experience of millions of Amazon customers across the globe every day. You will propose and explore publication-worthy innovation in NLP and IR to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production search engine that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.

Your responsibilities include:

Analyze the data and metrics resulting from traffic into Amazon's product search service
Design, build, and deploy effective and innovative ML solutions to improve various components of the search stack, such as indexing, ranking, and query understanding
Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production
Publish and present your work at internal and external scientific venues in the fields of ML/NLP/IR
Link: https://www.amazon.jobs/en/internal/jobs/1405554/senior-applied-scientist-nlp-ir
Postdoc and PhD position in Conversational AI @ University of Glasgow
University of Glagsow
There are multiple positions available in the Glasgow Representation and Information Learning Lab (GRILL) as part of UKRI funded Turing AI Acceleration Fellowship, “Neural Conversational Information Seeking Assistants”.

There is a postdoc position available as well as a funded PhD position. A short description of the postdoc position:
The goal is to perform novel research with the aim to make significant advances to open-domain conversational assistant systems by bridging search-based information agents and symbolic reasoning. The job requires expert knowledge of natural language understanding as well as expertise in open-domain question answering, explainable AI and/or information extraction, and information retrieval to apply them to conversational and/or task-based dialogue systems.

Please email me (jeff.dalton@glagow.ac.uk) or message me on social media (LinkedIn, etc..) to discuss details.
Link: https://grilllab.ai/
PhD Studentship in Information Retrieval
ADAPT Centre, Dublin City University
One fully funded (4 years) PhD postgraduate studentship is available at the ADAPT Centre in Dublin City University.

The aim of this PhD is to explore challenges of responsible AI in Personalised Information Retrieval. The project will investigate Fair, Accountable, Confidential, Transparent, Safe (FACTS) AI approaches at personalised information retrieval. Major challenges in this field include the accountability of AI algorithms for the generation of ranked results. In this context the investigation will focus on the balance between the performance of the algorithms and their fairness and scrutability/interpretability to generate explanations for the users. The PhD will also focus on privacy aware personalisation, which concerns the investigation/definition of user profile that guarantee privacy protection. The student will investigate techniques and define appropriate approaches to balance privacy and accuracy of algorithms.

Applicants should have a strong undergraduate (2.1 or above) or Masters degree in Computer Science, Computer Engineering or related degree.

Link: https://www.adaptcentre.ie/about/jobs/phd-studentship-in-information-retrieval-phd-ir-ac
Postdoctoral Researcher in Personalised Information Retrieval
ADAPT Centre, Dublin City University
The post-doctoral researcher will be involved with other researchers in the design of novel algorithms for the personalisation of search within the ‘Digital Enhanced Engagement’ strand of the ADAPT Centre.
The project has the goal of defining a new class of user models and algorithms that address the inherent complexity of human interests and behaviour. These will impact the way we access information by providing systems with more responsive and accurate means to answer the real needs of the users.
The successful candidate will work within a large group of researchers, PhD students and Software Developers. The post-holder will work closely with academics and key research staff to research a range of advanced applications that showcase cutting edge Information Retrieval technologies.

The candidate must have a PhD, ideally in the area of Computer Science, or a related discipline.
Link: https://www.dcu.ie/sites/default/files/inline-files/rf1491-postdoctoral-researcher-personalised-information-retrieval-adapt-advert.pdf
Search & Recsys Engineer
Zeta Alpha
At Zeta Alpha we are working on a next generation Enterprise Search and Insights platform, engineering the latest R&D in Neural Information Retrieval and Question Answering for production use, and serving the AI community with a product to discover, organize and share knowledge that is 100% focused on AI and Data Science teams.

We are a well-funded small team close to the Amsterdam academic and startup AI R&D ecosystem where your ideas, drive and attitude can really make an impact and next to working close to SOTA R&D, you can really learn what it takes to bring a new product to the market.

If you are interested to hear more, ping us now at ECIR (Jakub Zavrel or Artem Grotov), or submit your CV via our website.

We prefer candidates with a EU citizenship or work permit, though we are willing and able to sponsor visa for non-EU candidates in exceptional cases.
Link: https://www.zeta-alpha.com/
Postdoc - 1 year
University of Udine
1-year Postdoc ("Assegno di ricerca") on the broad topic of "Study and Development of Artificial Intelligence Techniques for Automatic Analysis of Texts and Time Series on Social Media". Email me for further info
Link: http://web.uniud.it/ateneo/normativa/albo_ufficiale/308-2021
Search Engine Software Engineer
SET GmbH
SET GmbH (www.set.de) is a leading provider of standard software for output management in Germany. Over 5 billion documents are processed with our software developed with state-of-the-art technologies by over 100 insurance and banking companies like Allianz or Commerzbank.

Now, we are building a novel search engine to support lawyers in finding and browsing relevant documents from their internal document pool to support their work.

We are looking for software engineers who want to build the next generation search engine for lawyers. You should be familiar with state-of-the-art information retrieval and natural language processing methods and be passionate about developing smart and easy-to-use user interfaces for mobile and web applications. Knowledge in Java, Angular, cloud technologies and the German language is a plus.

SET offers you various benefits like hackathons, slack time, a personal trainer for fitness training, and further education opportunities.

Please contact me (Arthur Brack) if you are interested or have further questions (arthur.brack@set.de).
Link: https://www.set.de
Postdoc in QA and related topics
University of Innsbruck
1 (possibly more) year postdoc position in QA using IR/NLP technologies
Link: https://adammo12.github.io/adamjatowt/
NLP Research Engineer
Sberbank
In this role, you will join the Natural Language Processing (NLP) group at the Sberbank AI Laboratory. Within the laboratory, you will work together with researchers and engineers on the most challenging frontier scientific and technical problems, conduct experiments with state-of-the-art NLP models, and develop prototype systems that will be adopted in various products of the Sberbank ecosystem. You will need to engage with research topics, cover new domains quickly, build deep expertise with modern deep learning and natural language processing techniques. You will gain valuable experience in natural language processing, publish academic papers, and help pushing forward the quality of natural language understanding systems in one of the biggest financial and technological companies in Europe.

Dr. Artem Shelmanov,
Exec.Dir. of Sberbank AI Lab
Senior Data Scientist Search
bol.com
Search is in a continuous state of evolution. Our catalog is constantly changing, as are our customers and their expectations. So the compelling challenge is to continuously improve our algorithms and models, so they always reflect our customers’ needs and surpass their search expectations! When they start their search journey, we need to assure them we understand their question by providing relevant guidance, products and rankings. First impressions matter. And we only have their search query to work with …
As Senior Data Scientist Search, you are in the lead to create and improve machine learning solutions to customer problems. And for maintaining current models and keeping them (and yourself) responsive during peak hours. To be successful, you’ll need experience in Natural Language Processing and/or Information Retrieval, and extensive programming experience in Python, Java or any other language. You will be working closely with colleagues in other disciplines, which challenges the entire team to keep an open mind and approach problems from different perspectives. As our environment is constantly changing, we expect our data scientists to be eager to learn and constantly develop their skills.
Link: https://careers.bol.com/vacature/senior-data-scientist-search/
Researh Scientist in Search and Recommendation
Naver Labs Europe
At NAVER LABS, we are inventing the next generation of search and recommendation engines, which have to be multi-modal, multi-stakeholder, unbiased and transparent.

We are looking for applications from research scientists, at the junior or senior levels, to join the Search & Recommendation team. Our research is carried out with the NAVER search group who run the world’s 5th biggest search engine. This provides research opportunities that go far beyond the traditional Information Retrieval framework and gives us the chance to see millions of users potentially benefiting the outcomes of our research.

At the same time, we encourage participation in the academic community. Our researchers collaborate closely with universities and regularly publish in venues such as SIGIR, ECIR, RecSys, KDD, NeurIPS, ICML, ACL, and EMNLP.
Link: https://europe.naverlabs.com/job/research-scientist-in-search-and-recommendation-multiples-positions/
Senior Data Analyst for a Search Engine
QWANT
Within a flexible team with multiple skills and modest size, operating as a mini startup in Qwant, you will work as a Data Analyst. What is expected of you:
- Treat and analyze the data available in order to extract relevant information to stimulate the growth of the company;
- Give meaning to the data and transform them into exploitable information;
- Manage "Data Visualisation" tools for internal customers;
- Design and implement new dashboards to suit the needs Designing and implementing the enterprise's business needs;
- Design and implement the architecture Data Defining a format for the use of the data to the internal customers
- Design and implement the business needs of the company
- Design and implement the data to operate the data and implement the data to implement the data to operate the data to use the data to use
- Contribute to the adoption of the new tools
- Large capacity for analysis, listening and understanding of the profession, rigour and synthesis Formulate, consolidate and challenge the needs of the trades in line with the issues of the project Ability to adapt to multiple interlocutors, internal and external. Profile

Qualifications requiere:
- Data Modeling
- SQL Advanced
- Tools ETL (Extract Transform Load)
- Stack Elastic (Elasticsearch, Logstash, Kibana)
- At least one recognized tool by Dataviz
- Excel
- Team spirit and positivity
- English mastering

knowledge of:
- Prometheus
- Grafana Tools
- Alerting Tools
- Spark

you have at least 3 to 5 years of experience as a Business Analyst / Data Analyst.
Link: https://www.qwant.com
Research visit at RU/IR group (fully funded)
Radboud University
We are advertising a 6-month research visit at the IR group of Radboud University.
Come and work with Arjen de Vries, Djoerd Hiemstra, Martha Larson, Harrie Oosterhuis, and Faegheh Hasibi, broaden your horizon, and extend the time you have to complete your PhD - fully funded!

We aim for at least one submitted publication related to the topic of conversational systems after the research visit.

Contact person: Faegheh Hasibi (f.hasibi@cs.ru.nl)
ML engineer
Elsevier
Elsevier Technology Services is looking for a talented Machine Learning Engineer for Elsevier Life Science Solutions to be based near Liverpool Street Station. You will be part of a cross-functional product development group using Agile management and engineering practices.
Link: https://relx.wd3.myworkdayjobs.com/ElsevierJobs/job/Amsterdam/Machine-Learning-Engineer_R16742-1
Senior Research Scientist
Rakuten USA
The Senior Research Scientist will be working with Research Scientists who are part of Rakuten Institute of Technology (RIT), Boston to collaborate on global projects in a friendly but agile work environment. RIT is the corporate R&D department of the Rakuten group and is responsible for leading strategic technological progress. The Senior Research Scientist should have strong expertise in the fields of Natural Language Processing (NLP) and Machine Learning (ML) and/or in the field of image captioning. The Senior Research Scientist will primarily be tasked with significantly improving existing production systems with AI solutions based on State-of-the-art ML algorithms and Deep Neural Networks with a focus on converting new innovations into high quality conference papers and patents and hosting workshops and data challenges as part of industry tracks in top tier conferences.
Link: https://rakuten.wd1.myworkdayjobs.com/RakutenAmericas/job/Boston-Massachusetts/Senior-Research-Scientist_1005398
Senior Research Scientist Japanese Language
Rakuten USA
The Senior Research Scientist should be fluent in Japanese and English languages and will be working with Research Scientists who are part of Rakuten Institute of Technology (RIT), Boston to collaborate on global projects in a friendly but agile work environment. RIT is the corporate R&D department of the Rakuten group and is responsible for leading strategic technological progress. The Senior Research Scientist should have strong expertise in the fields of Natural Language Processing (NLP) and Machine Learning (ML) and/or in the field of image captioning. The Senior Research Scientist will primarily be tasked with significantly improving existing production systems with AI solutions based on State-of-the-art ML algorithms and Deep Neural Networks with a focus on converting new innovations into high quality conference papers and patents and hosting workshops and data challenges as part of industry tracks in top tier conferences.
Link: https://rakuten.wd1.myworkdayjobs.com/en-US/RakutenAmericas/job/Boston-Massachusetts/Lead-Research-Scientist_1010923-1
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