Senior Data Scientist / Senior Machine Learning Engineer in LoopMe

—Applying AIat Scale inaHigh Traffic EnvironmentThe Role:Afull time Senior Machine Learning Engineer/ Senior Data Scientist position for anexceptional candidate who has akeen interest inapplyingAI systems atscale. You will bedesigning and building machine learning systems that will operate onreal world data. You will beinvolved with the whole system development life cycle, from brainstorming initial ideas, through prototyping toimplementing production level code and deployment. The work involves handling billions ofdata points per day.LoopMe has asignificant investment inAI. Weare interested inpushing the boundaries and staying ahead ofthe competition rather than reapplying tired old systems. Wedothis bydeveloping genuinely new machine learning systems and applying itinexciting and novel ways, please see our publications inthe About the Data Science Team section below. (The second won best paper atadKDD 2021.)You will bepart ofagroup consisting of17data scientists and data engineers under the guidance ofaskilled Chief Data Scientist. (www.linkedin.com/in/leonardnewnham). Ifyou want toknow what itisreally like working inthe Data Science team then check out our reviews onGlassDoor: www.glassdoor.com/...​I_IE911164.0,6_KO7,21.htm Search “Data Scientist”. Wehave asolid 5-star rating and great feedback. Tounderstand our values and how welike towork, check out the “About the Data Science Team” section below.This isanopportunity tobecome part ofahigh growth, UKtech start-up and get first-hand experience into how tech start-ups operate. You will beworking inanexciting and fast paced environment inone ofthe most innovative companies inthe AIspace.Key Responsibilities:Wework insmall, highly interactive teams using two-week sprints. You will need strong communication skills. You will also beexpected tocare deeply about the quality ofyour code: its clarity, documentation, and testing.You will beworking inasmall team of3-4 data scientists/ machine learning engineers. You will bedesigning, building and running various pipelines that read terabytes ofdata and efficiently process itusing several different modelling techniques, including some ofour own novel algorithms. These pipelines will produce outputs that feed into real-time decisioning systems.Some ofthe technologies weuse include Google Cloud, Python, R, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse and various supervised learning algorithms.Key Skills &Experience:—Aminimum ofaBachelor’s degree inamathematical discipline such asComputer Science, Applied Statistics, Maths, Engineering orPhysics from arespected University. AnMSc orPhDis abonus—4or more years’ commercial experience ofPython—Experience developing machine learning pipelines that read and process large amounts ofdataBonus Qualifications:—Experience ofreal-time bidding auctions—Experience ofscrum/ agile software development—Practical knowledge ofinfrastructure for running high availability systems. (ElasticSearch, Kafka, ClickHouse, etc.)—Experience ofAirflowAbout you:—Excellent communication skills— you will beworking with colleagues intheUK and other locations—Has anenquiring mind and adisciplined scientific approach toextracting facts and understanding observed behaviour—Want tobepart ofafast growing company with global ambitions—Welike tomake work enjoyable, soagood sense ofhumour isrequiredThe ideal candidate will examine data from many perspectives, beable tothink out ofthe box and efficiently communicate ideas and findings totechnical and non-technical peers equally. Apassion for new technologies and adrive tofind simple and elegant ways toimplement simple solutions tocomplex problems iskey.Benefits:—Competitive compensation package—Hundreds ofmillions ofpeople see your work and use our products worldwide—Atransparent work environment—Friendly team environment where learning and acquiring new skills isencouraged—Joining astable, profitable, high growth companyAbout the Data Science Team:—Weare ateam of17machine learning engineers, data scientists and data engineers building systems toapply the latestAI methods and research toreal world problems. LoopMe has over 300employees, 100 ofwhich are technical.—Weare adistributed team with offices inLondon, Poland and Ukraine. Weare NOT anoutsourcing team, weare atruly distributed team, where everyone’s ideas are listenedto.—Weare open tonew ideas and actively strive toimprove both our systems and our development practices. Itisateam where anyone can have areal impact.—Weare aninclusive and supportive team inwhich people enjoy working with their colleagues and feel valued.—Our values are: open communication, continual innovation (fail fast, not afraid totry things), all ideas welcome, wetreat people fairly and weexpect the best.—Weare doing genuinely novel and cutting-edge work. Weoccasionally publish papers which may give aflavour ofour work inautomated bidding, for example:—Gradient Boosting Censored Regression for Winning Price Prediction inReal-Time Bidding, PPaliwal, ORenov, International Conference onDatabase Systems for Advanced Applications 2019—Hybrid Dual Censored Joint Learning ofReserve Prices and Bids for Upstream Auctioneers, PPaliwal, LStavrogiannis, ADKDD 2021(winner ofbest paper award)papers.adkdd.org/...​dkdd21-paliwal-hybrid.pdfAbout LoopMe:LoopMe was founded with the mission ofclosing the loop onbrand advertising. Our full-stack tech platform harnesses mobile data, using apowerful combination ofattribution, Artificial Intelligence and analytics todeliver outstanding campaign performance against brand outcomes— consideration, purchase intent, foot traffic and offline sales.The company was founded byexperienced mobile advertising executives Stephen Upstone (CEO) and Marco Van deBergh (CTO) in2012. LoopMe has global offices inNew York, London, Chicago, LA, Atlanta, Boston, Dallas, Detroit, San Francisco, Dnipro, Singapore, Beijing, Dubai and Johannesburg.