Job Title

OverviewThe Core AI Speech Group brings together talents in the areas of signal processing, speech modeling, statistical modeling and deep learning to develop and deliver robust, natural and scalable speech technologies, across a rich set of scenarios and languages. As a science team in the Speech Group, we industrialized deep learning speech technologies and contributed key innovations to the speech community. We work on all kinds of end-to-end speech technologies, targeting the most challenging problems by inventing new algorithms. To that end, we welcome a Applied Scientist II who is passionate at innovating the state-of-the-art speech modeling technologies, which impact millions of users.Microsofts mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. ResponsibilitiesYour responsibilities include developing novel speech algorithms to advance state-of-the-art speech technologies for real world user scenarios, especially in integrating speech with LLM for multimodal modeling. Help address scalability problems by adjusting to stakeholder needs. Work with large-scale computing frameworks, data analysis systems, and modeling environments to improve models. Apply the model to real products, and then verify effects through iterations. Experiment by putting multiple models in production and evaluating their performance. Continue to monitor how algorithm performs against expected behaviors and performance or accuracy guardrails.QualificationsRequired Qualifications:Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related fieldOR equivalent experience. 1+ year of experience presenting at conferences such as Automatic Speech Recognition and Understanding (ASRU) International Conference on Acoustics Speech and Signal Processing (ICASSP), Interspeech or other events.Preferred Qualifications:Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years of related experience (e.g., statistics, predictive analytics, research); OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years of related experience (e.g., statistics, predictive analytics, research); OR equivalent experience.1+ year of experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.1+ year of experience developing and deploying live production systems, as part of a product team.2+ years of experience conducting research as part of a research program (in academic or industry settings).Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.2+ years of experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). Applied Sciences IC3 - The typical base pay range for this role across Canada is CAD $85,000 - CAD $166,800 per year. Find additional pay information here:Sciences IC3 - L'chelle salariale de base typique pour ce rle dans l'ensemble du Canada est de 85,000 $ CAD 166,800 $ CAD par anne. Pour plus d'information au sujet de la rmunration, veuillez cliquer ici:poste sera ouvert pendant au moins cinq jours et les candidatures seront acceptes de faon continue jusqu ce que le poste soit pourvu.This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.Microsoft est un employeur offrant lgalit daccs lemploi. Tous les candidats qualifis seront pris en considration pour lemploi, sans gard lge, lascendance, la citoyennet, la couleur, aux congs mdicaux ou familiaux, lidentit ou lexpression de genre, aux renseignements gntiques, ltat dimmigration, ltat matrimonial, ltat de sant, lorigine nationale, un ventuel handicap physique ou mental, laffiliation politique, au statut de vtran protg ou au statut militaire, la race, lethnie, la religion, au sexe (y compris la grossesse), lorientation sexuelle ou toute autre caractristique protge par les lois, ordonnances et rglements locaux applicables. Si vous avez besoin daide avec des accommodements religieux et/ou dun accommodement raisonnable en raison dun handicap pendant le processus de candidature, apprenez-en plus sur la demande daccommodement.Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.