Play a part in building the next revolution of machine learning technology. We're looking for passionate researchers in the final years of their post-graduate studies to work on ambitious curiosity driven research projects that will impact the future of Apple, and our products, through open research. In this role, you'll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of exciting problems, collaborate with world-class machine learning engineers and researchers to publish some of your results in high-quality scientific venues.
Details
Description
You are towards your final years of a PhD programme in Machine Learning/Statistics/Computer Vision/NLP, and have already published some of your results in a main conference in the field. You will hone your research skills with us, as we go through the various collaborative phases of an ML research project: identify a promising research opportunity, survey SoTA methods and relevant literature, imagine and design novel methods, implement them as code prototypes, plan and complete experiments at multi-node, multi-GPU scales, write a paper and follow through with a submission. Topics of interest include but are not limited to differentiable optimization (e.g. bi- and multi-level programming), generative modelling (diffusions, transport) and uncertainty quantification (conformal prediction, calibration). You’ll also have the opportunity to collaborate further with MLR colleagues outside of Paris on the project. Ultimately, you will work towards publishing new findings arising from the project, either or both as open source code and publications.
AfghanistanAlbaniaAlgeriaAndorraAngolaAntigua and BarbudaArgentinaArmeniaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBosnia and HerzegovinaBotswanaBrazilBruneiBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCentral African RepublicChadChileChinaColombiaComorosCongo: Democratic RepublicCongo: RepublicCook IslandsCosta RicaCroatiaCubaCyprusCzech RepublicDenmarkDjiboutiDominicaDominican RepublicEast TimorEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEthiopiaFijiFinlandFranceGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGrenadaGuatemalaGuineaGuinea-BissauGuyanaHaitiHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsraelItalyIvory CoastJamaicaJapanJordanKazakhstanKenyaKiribatiKorea, NorthKorea, SouthKosovo UN1244 (*not recognized by majority of countries)KuwaitKyrgyzstanLaosLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacauNorth MacedoniaMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMauritaniaMauritiusMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew ZealandNicaraguaNigerNigeriaNiueNorwayOmanPakistanPalauPalestinian AuthorityPanamaPapua New GuineaParaguayPeruPhilippinesPolandPortugalPuerto RicoQatarRomaniaRussiaRwandaSaint Kitts and NevisSaint LuciaSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth SudanSpainSri LankaSudanSurinameSwazilandSwedenSwitzerlandSyriaTaiwanTajikistanTanzaniaThailandTogoTongaTrinidad and TobagoTunisiaTurkeyTurkmenistanTuvaluUgandaUkraineUnited Arab EmiratesUnited KingdomUnited States of AmericaUruguayUzbekistanVanuatuVatican CityVenezuelaVietnamWestern SaharaYemenZambiaZimbabwe
Students currently pursuing a MSc in Computer Science or Mathematics, with a specialisation in ML, and very strong coding skills as demonstrated by participations in open source projects may also apply.
Demonstrated expertise in machine learning research.
Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc).
Hands-on experience working with deep learning toolkits such as JAX or PyTorch.
Preferred Qualifications
Ability to work in a diverse collaborative environment.
Strong mathematical skills in linear algebra, probability, optimization and statistics.
Strong coding skills.
Ability to formulate a research problem, design, experiment, implement and communicate solutions.
Deadline:
As soon as possible
Location(s)
Paris
Overview
Details
Opportunity is About
Eligibility
Description of Ideal Candidate 
Dates
Cost/funding for participants
Un-save Opportunity
