The official conference app for The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval

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Jobs Posted on the Whova Community Board of The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval

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CSE faculty positions
Lehigh University
The Dept of Computer Science and Engineering is aggressively hiring and will be looking to fill multiple faculty positions this fall at all levels (tenure-track at all levels, plus dept chair, plus non-tenure-track instructional positions).

None are yet publicly posted, but feel free to talk to me (Brian Davison) during or after the conference for more information.
Link: http://www.cse.lehigh.edu/
JD.COM Silicon Valley Search Team is hiring!
JD.COM
Researchers/engineers with machine learning/deep learning background are welcome, experience with search/recommendation is preferred. Both full time and internship positions are available. Please drop me a message if you are interested.
ML scientists/engineers
Amazon
Our team at Amazon Alexa AI is hiring! We are looking for experienced scientists or engineers with a strong machine learning background to help build industry-leading Speech and Language technology. The positions are based in Seattle. Feel free to drop me a message if you are interested.
Home Depot Online Data Science is hiring for all levels!
The Home Depot
Calling for Machine learning and data mining scientists! All levels are welcome from intern, Data Scientists, Sr. Data Scientists to Sr. Managers. Experience with eCommerce Recommendation and Search preferred. The positions are open in Atlanta and Austin. Remote office in San Mateo, CA. Please drop me a line if you are interested.
Research Engineer - Relevance and Discoverability
Bloomberg
Bloomberg donates over 85% of our profits to charity every year. And we tackle challenging machine learning and search problems related to news and financial analysis.

Come help us build discoverability tools!
Link: bit.ly/Search_Bloomberg
NLP/IR/ML scientists - various levels and locations
Capital One
At Capital One, data is at the center of everything. When we launched as a startup in 1988 we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling. Fast-forward a few years. We are investing in speech recognition (voice in general), OCR, NLP, text mining, IR to transform banking, from customer experience to operations. Come join us! Or email me if you want to know more.
Link: https://bit.ly/2ujeQ9Y
Machine learning engineer (NLP) - CUAD
Twitter Inc.
See link
Link: https://careers.twitter.com/en/work-for-twitter/201806/QHREEfPDuurOEVmjrHasyrrqraFgTRdBDswwIWFFemEQIJDeVyqQBdmwBwppQyPX.html
Machine Learning Engineer - Recommendations
Twitter Inc.
See job link
Link: https://careers.twitter.com/en/work-for-twitter/machine-learning-engineer-consumer-product0.html
Data Scientist
EdGE Networks
We are a Bengaluru based HR-tech startup, working on large scale search and relevance-match on job descriptions and resume.
Majority of the work includes:
Long sequence representation learning.
Learning to rank, with noisy labels and weak supervision.
Knowledge-graph generation.
Research Scientists & Sr. Research Scientists
Thomson Reuters
Thomson Reuters is hiring data scientists to join a diverse, world class, growing team at its new Center for Cognitive Computing - to be part of our journey to develop next generation AI applications. Desired skill sets include IR, machine learning, data mining, deep learning, and a range of other AI-related capabilities. Come join this dynamic, ground breaking team!
Link: http://labs.thomsonreuters.com
Baidu Search Team (Beijing) is hiring for Machine/Deep Learning scientists
Baidu
Experts and specialists in the team focus on fields: information retrieval, large-scale data process, natural language process, machine learning, etc. Experience with Search is prefer. Position of intern are opening as well. Please don't hesitate to contact me.
Senior Search Product Manager
Home Depot

We are looking for an innovative, results-oriented, customer-centric and seasoned Senior Manager, Product Management to lead our Search team to define, drive and monitor the business on all aspects of demand, customer experience, and conversion. The Senior Manager, Product Management should be passionate about the customer and the E-commerce industry and have proven results leading a team of product mangers in a fast-paced environment. The successful candidate will recruit, hire, and manage a team of product managers that will evaluate and drive improvements in the overall look, feel, and navigation of customer-facing site aspects, as well as back-end API and data structures for their product areas on Homedepot.com.

The Senior Manager, Product Management will own the strategic vision and product roadmap for search of Homedepot.com’s business plan. The candidate will manage a team in defining innovative customer experiences, coordinating with engineering and data science teams to ensure requirements are implemented effectively, and partnering as needed with internal and external business teams to guarantee successful protoyping and product implementations. The candidate will also need to roll up their sleeves as necessary to ensure projects stay on schedule and that the work product meets our high quality bar. Importantly, the candidate must be able to work at the strategic level (generating bold and innovative ideas for growth) and at the tactical level (solving customer pain points).

The successful Senior Manager, Search Product Management must be able to:

25% – Recruit, hire and manage a Product Management team in defining a world-class customer experience that bridges online and multi-channels (in store, mobile, call center, tablet, etc.); Gain a thorough understanding of customer needs, both existing and potential, and use that knowledge as thought leader and customer champion to create product roadmaps with their team which deliver site features that provide Home Depot customers with an unparalleled shopping experience. Inspire and motivate the team; Lead by example and reinforce best practices

25% – Maintain product and feature roadmap and manage prioritization and trade-offs among customer experience, site performance and operational support load. As the subject matter expert, forecast, monitor, understand and report on team’s product lines and “own” the overall results

15% – Create buy-in for their product vision both within the online team and with key enterprise stakeholders. Lead cross-functionally to ensure Home Depot implements the business vision efficiently. Ensure team writes complete and detail-oriented product stories and requirements; Ensure clear communications of those requirements to the business, design, usability and development teams

15% Proactively identify and resolve strategic issues that may impair the team’s ability to meet strategic, financial, and technical goals

10% – Leverage their thorough understanding of the E-commerce industry, its seasonality and global business trends/events, and competitor/industry developments when managing priorities and trade-offs on their product and feature roadmap

10% Identify and assess the value of technology licensing with new vendors to deliver on innovative customer experience features

NATURE AND SCOPE
Position reports to Director, Online Search

ENVIRONMENTAL JOB REQUIREMENTS
Environment:
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Travel:
Typically requires overnight travel less than 10% of the time.
Additional Environmental Job Requirements: Additional Qualifications:

BS/MS; graduate degree a plus, technical degree a strong plus
4+ years of product management experience; experience in search, data science / machine learning, and API-heavy products a plus
Exceptional collaboration skills; ability to gain the respect of your design, engineering and marketing counterparts
Data-centricity; a deep curiosity of metrics, the ability to identify the right metrics and track and report back on impact
Creativity; you will have lots of fresh ideas and be hungry to test them and see the results
Strong understanding of advanced relevancy, ranking, and scoring algorithms
Knowledge of Relevancy Classification and simulation using NDCG, CTR and CTS models
Work on personalizing search results and derive meaningful information from structured/semi-structured data such as product catalogs, social web, transactions and query logs
Design and Develop models using NLP and ML which help in improving the Search-experience on HomeDepot.com and thus enhancing the overall customer experience
Develop new ranking features and techniques by leveraging lexical and behavioral information
Own the full development cycle: design, development, impact assessment, A/B testing) and production deployment of relevancy modules
Collaborate with other engineers and related teams internally to find technical solutions to complex design problems Work in an agile environment to deliver high quality software against aggressive schedules
Knowledge of E-commerce business KPIs and technologies
Ability to deliver initiatives from conception through completion
Proven ability to make smart feature (customer experience) versus time-to-market trade-offs
Street smarts and willingness to roll up your sleeve and do what’s necessary
Preferred Qualifications

MS-CIS preferred
Prior experience leading teams or products focused on search.
Proficiency in using Machine Learning and data mining techniques
Experience in analyzing behavioral data on search systems
Ability to communicate well and discuss complex topics with both technical and business audiences
Ability to deal well with ambiguous and undefined problems
Results-oriented with a strong customer focus
Experience in E-commerce industry Strong bias for action; ability to juggle multiple priorities and create a sense of urgency
Link: https://careers.homedepot.com/job/8400383/senior-manager-online-search-product-management-atlanta-ga/
Data Scientist/Machine Learning Engineer/Intern (Silicon Valley, Seoul, Seattle and Shanghai)
Coupang
Since Coupang’s founding in 2010, we’ve broken industry records in our path to becoming one of the largest mobile e-commerce companies in the world. But we’re doing more than just setting a new standard, we’re representing the newest generation of mobile commerce services. The way we see it, Coupang is more than just an e-commerce company: we’re a revolution in how the world does business.

Please go to the following link and Select “Platform, Search and Discovery” to find the job you are interested. You can talk to me or anyone from Coupang directly if you want to know more.
http://www.coupang-usa.com/join-our-team/
Link: http://www.coupang-usa.com/join-our-team/
Comcast Applied AI Research Lab is hiring! (DC, Philadelphia, Denver, Silicon Valley)
Comcast Labs
We are actively hiring researchers, engineers and interns! Please apply at http://dclabs.comcast.com/jobs-page or send me a message to chat!
Link: http://dclabs.comcast.com
WalmartLabs Search Team is growing!
WalmartLabs
We are looking for scientists and engineers with a ML background and experience with search. Many experience levels. Located in Sunnyvale. Please send me a DM if you are interested.
Data Scientist
Flipkart
Data Science team at Flipkart is going forward with mission of building systemic intelligence across Flipkart product and ecosystem. Being the largest e-commerce marketplace and the most used e-commerce app in India exposes us to the richest possible data about Indian consumers. Along with that, we have data from huge product selection and large number of sellers.

Some of the problems we are focusing on currently are:

• Product discovery along with personalization and intent modeling,
• Demand shaping and planning,
• Heterogeneous networks for consumer, product & seller interactions,
• Customer insights,
• Catalog enhancement and product insights,
• Customer emotion detection and right response matching,
• Fulfillment automation,
• Optimization of last mile delivery,
• Self-healing systems,
• and more.


At Flipkart, Data scientists are embedded with the engineering and product team for the problem they are working on. This ensures that the data science solutions are envisioned along with product delivery. We have a very flat structure within Data Science team, which enables us to focus on excellence and create a deep sense of ownership. Also being a young team we are able to democratize the process of problem selectionOur techniques span classification, clustering, matrix factorization, graphical models, networks and graph algorithms, topic modelling, image processing, deep learning and NLP, each one of them being exercised at a fairly large scale.
If you want to challenge the state of the art and want to impact the wide open landscape in India, Flipkart Data Science team is the place for you.
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