Senior Principal AI/ML Developer
$178.88k - $320.65kAutodesk
- # Senior Principal AI/ML DeveloperApplylocations: California, USA - Remotetime type: Full timeposted on: Posted Todayjob requisition id: 26WD100188**Job Requisition ID #**26WD100188*L'affichage de poste en français suivra / The French job posting follows.***26WD100188, Senior Principal AI/ML Developer****Position Overview**At GET (Growth Experience Technology), we fuel sustainable growth by rethinking how customers discover, buy, and use Autodesk. Our focus is creating a seamless, data-driven experience that feels simple, predictable, and tailored to customer needs—while also making it easier and more efficient for our teams to support them. To get there, we're building smarter digital experiences, strengthening our platforms, and making our sales and marketing efforts much more efficient and connected. While the product experience will play a key role, a real unlock will come from the technologies that power better customer insights, more personalized engagement, and faster sales cycles. Our GET Applied AI org is looking for a seasoned Sr. Principal Scientist/Machine Learning Developer to drive data-informed decisions for Autodesk B2C business. You will play a critical role in helping Autodesk build the eCommerce platforms of the future. Data Scientists/MLE are both data/research scientists and software developers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our Data Scientists work on projects from ideation to implementation. As a Senior Principal Data Scientist at Autodesk, you will be responsible for the development and training of cutting-edge machine learning models and algorithms that can effectively leverage our users’ platform activities and industry trends to create personalized recommendations that are delivered to our users at the optimal moment.**Responsibilities*** Act as a champion for a data-driven culture, evangelizing best practices and shape the direction of key data science areas - segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights* Identify, design, prototype, and build scalable end-to-end ML pipelines that enhance Autodesk’s eCommerce personalization at scale* Develop and implement robust experimentation frameworks to increase velocity while maintaining scientific rigor, enabling rapid iteration and deployment of personalization models* Craft compelling Stories and make logical recommendations based on insights of data and ML models* Partner with cross-functional teams to initiate, lead and drive to completion large-scale/complex strategic projects for teams, departments and the company* Act as a thought partner to senior cross-functional leaders to prioritize/scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals* Mentor and guide junior data scientists/MLE by helping with project planning, technical decisions, and code and document review**Minimum Qualifications*** Bachelor's degree in data science, statistics, computer science, a related technical field* 10 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning)* 7 years of experience with design and architecture; and testing/launching software products* 10+ years of hands-on experience with data mining, and information retrieval* Experience in A/B testing and experimental design* Strong understanding of statistics, probability, and financial modeling* Ability to translate data insights into business impact**Preferred Qualifications*** MS or PhD in a quantitative discipline: data science, statistics, computer science, a related technical field* 15+ years of hands-on experience in machine learning design, development and deployment, ideally in eCommerce domain* Hands-on experience with cloud machine learning platform (AWS, Azure) and MLOps best practices-----------------------------------------------------------------------------------------------------------------------**26WD100188, Développeur principal senior en IA/ML****Aperçu du Poste**Chez GET (Growth Experience Technology), nous favorisons une croissance durable en repensant la manière dont les clients découvrent, achètent et utilisent les solutions Autodesk. Notre objectif est de créer une expérience fluide, axée sur les données, qui soit simple, prévisible et adaptée aux besoins des clients, tout en permettant à nos équipes de les accompagner plus facilement et plus efficacement. Pour y parvenir, nous développons des expériences numériques plus intelligentes, renforçons nos plateformes et rendons nos efforts de vente et de marketing bien plus efficaces et coordonnés. Si l’expérience produit jouera un rôle clé, c’est avant tout grâce aux technologies permettant une meilleure compréhension des clients, un engagement plus personnalisé et des cycles de vente plus rapides que nous parviendrons à nous démarquer véritablement.Notre organisation GET Applied AI recherche un scientifique principal senior / développeur en apprentissage automatique expérimenté pour piloter les décisions fondées sur les données au sein de l’activité B2C d’Autodesk. Vous jouerez un rôle essentiel en aidant Autodesk à construire les plateformes de commerce électronique de demain. Les scientifiques des données / développeurs en apprentissage automatique (MLE) sont à la fois des scientifiques spécialisés dans les données et la recherche, et des développeurs logiciels, qui conçoivent et mettent en œuvre des modèles et des algorithmes d’apprentissage automatique. Contrairement à d’autres entreprises qui séparent ces fonctions, nos data scientists travaillent sur des projets de la conception à la mise en œuvre. En tant que data scientist principal senior chez Autodesk, vous aurez la responsabilité du développement et de l’entraînement de modèles et d’algorithmes d’apprentissage automatique de pointe, capables d’exploiter efficacement les activités de nos utilisateurs sur la plateforme ainsi que les tendances du secteur afin de créer des recommandations personnalisées qui seront proposées à nos utilisateurs au moment le plus opportun.**Responsabilités*** Être le fer de lance d’une culture axée sur les données, promouvoir les meilleures pratiques et définir l’orientation des domaines clés de la science des données : segmentation, systèmes de recommandation, prévision, analyse produit, prédiction du taux de désabonnement et insights* Identifier, concevoir, prototyper et construire des pipelines d’apprentissage automatique de bout en bout et évolutifs qui améliorent la personnalisation du commerce électronique d’Autodesk à grande échelle* Développer et mettre en œuvre des cadres d’expérimentation robustes pour accroître la vélocité tout en conservant une rigueur scientifique, permettant ainsi l’itération et le déploiement rapides de modèles de personnalisation* Élaborer des récits convaincants et formuler des recommandations logiques basées sur les enseignements tirés des données et des modèles d’apprentissage automatique* Collaborer avec des équipes interfonctionnelles pour lancer, diriger et mener à bien des projets stratégiques complexes et à grande échelle pour les équipes, les services et l’entreprise* Jouer le rôle de partenaire stratégique auprès des responsables interfonctionnels de haut niveau pour hiérarchiser et définir la portée des projets, formuler des recommandations et promouvoir des décisions métier fondées sur les données, en soutien aux objectifs stratégiques* Encadrer et guider les data scientists et MLE juniors en les aidant dans la planification des projets, les décisions techniques, ainsi que la révision du code et de la documentation**Qualifications Minimales*** Licence en science des données, statistiques, informatique ou dans un domaine technique connexe* 10 ans d’expérience dans la direction de la stratégie de projets techniques, la conception d’apprentissage automatique (ML) et l’optimisation d’infrastructures ML à l’échelle industrielle (par exemple : déploiement de modèles, évaluation de modèles, traitement des données, débogage, réglage fin)* 7 ans d’expérience en conception et architecture, ainsi qu’en tests et lancement de produits logiciels* Plus de 10 ans d’expérience pratique en exploration de données et en recherche d’informations* Expérience en tests A/B et en conception expérimentale* Solide compréhension des statistiques, des probabilités et de la modélisation financière* Capacité à traduire les enseignements tirés des données en impact commercial**Qualifications Souhaitées*** Master ou doctorat dans une discipline quantitative : science des données, statistiques, informatique ou un domaine technique connexe* Plus de 15 ans d’expérience pratique dans la conception, le développement et le déploiement de systèmes d’apprentissage automatique, idéalement dans le domaine du commerce électronique* Expérience pratique des plateformes d’apprentissage automatique dans le cloud (AWS, Azure) et des meilleures pratiques MLOps**Learn More****About Autodesk**Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!**Benefits**From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting transparency**Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $178,875 and $320,650. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.**Equal Employment Opportunity**At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. **Belonging**We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: **In-Person Onboarding and Identity Verification**This role may require in-person onboarding and/or in-person ID verification.
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