Machine Learning Engineer Jobs in California, MD

L'affichage de poste en francais 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

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26WD100188, Developpeur principal senior en IA/ML

Apercu du Poste

Chez GET (Growth Experience Technology), nous favorisons une croissance durable en repensant la maniere dont les clients decouvrent, achetent et utilisent les solutions Autodesk. Notre objectif est de creer une experience fluide, axee sur les donnees, qui soit simple, previsible et adaptee aux besoins des clients, tout en permettant a nos equipes de les accompagner plus facilement et plus efficacement. Pour y parvenir, nous developpons des experiences numeriques plus intelligentes, renforcons nos plateformes et rendons nos efforts de vente et de marketing bien plus efficaces et coordonnes. Si l'experience produit jouera un role cle, c'est avant tout grace aux technologies permettant une meilleure comprehension des clients, un engagement plus personnalise et des cycles de vente plus rapides que nous parviendrons a nous demarquer veritablement.

Notre organisation GET Applied AI recherche un scientifique principal senior / developpeur en apprentissage automatique experimente pour piloter les decisions fondees sur les donnees au sein de l'activite B2C d'Autodesk. Vous jouerez un role essentiel en aidant Autodesk a construire les plateformes de commerce electronique de demain. Les scientifiques des donnees / developpeurs en apprentissage automatique (MLE) sont a la fois des scientifiques specialises dans les donnees et la recherche, et des developpeurs logiciels, qui concoivent et mettent en uvre des modeles et des algorithmes d'apprentissage automatique. Contrairement a d'autres entreprises qui separent ces fonctions, nos data scientists travaillent sur des projets de la conception a la mise en uvre. En tant que data scientist principal senior chez Autodesk, vous aurez la responsabilite du developpement et de l'entrainement de modeles et d'algorithmes d'apprentissage automatique de pointe, capables d'exploiter efficacement les activites de nos utilisateurs sur la plateforme ainsi que les tendances du secteur afin de creer des recommandations personnalisees qui seront proposees a nos utilisateurs au moment le plus opportun.

Responsabilites

• Etre le fer de lance d'une culture axee sur les donnees, promouvoir les meilleures pratiques et definir l'orientation des domaines cles de la science des donnees : segmentation, systemes de recommandation, prevision, analyse produit, prediction du taux de desabonnement et insights

• Identifier, concevoir, prototyper et construire des pipelines d'apprentissage automatique de bout en bout et evolutifs qui ameliorent la personnalisation du commerce electronique d'Autodesk a grande echelle

• Developper et mettre en uvre des cadres d'experimentation robustes pour accroitre la velocite tout en conservant une rigueur scientifique, permettant ainsi l'iteration et le deploiement rapides de modeles de personnalisation

• Elaborer des recits convaincants et formuler des recommandations logiques basees sur les enseignements tires des donnees et des modeles d'apprentissage automatique

• Collaborer avec des equipes interfonctionnelles pour lancer, diriger et mener a bien des projets strategiques complexes et a grande echelle pour les equipes, les services et l'entreprise

• Jouer le role de partenaire strategique aupres des responsables interfonctionnels de haut niveau pour hierarchiser et definir la portee des projets, formuler des recommandations et promouvoir des decisions metier fondees sur les donnees, en soutien aux objectifs strategiques

• Encadrer et guider les data scientists et MLE juniors en les aidant dans la planification des projets, les decisions techniques, ainsi que la revision du code et de la documentation

Qualifications Minimales

• Licence en science des donnees, statistiques, informatique ou dans un domaine technique connexe

• 10 ans d'experience dans la direction de la strategie de projets techniques, la conception d'apprentissage automatique (ML) et l'optimisation d'infrastructures ML a l'echelle industrielle (par exemple : deploiement de modeles, evaluation de modeles, traitement des donnees, debogage, reglage fin)

• 7 ans d'experience en conception et architecture, ainsi qu'en tests et lancement de produits logiciels

• Plus de 10 ans d'experience pratique en exploration de donnees et en recherche d'informations

• Experience en tests A/B et en conception experimentale

• Solide comprehension des statistiques, des probabilites et de la modelisation financiere

• Capacite a traduire les enseignements tires des donnees en impact commercial

Qualifications Souhaitees

• Master ou doctorat dans une discipline quantitative : science des donnees, statistiques, informatique ou un domaine technique connexe

• Plus de 15 ans d'experience pratique dans la conception, le developpement et le deploiement de systemes d'apprentissage automatique, idealement dans le domaine du commerce electronique

• Experience pratique des plateformes d'apprentissage automatique dans le cloud (AWS, Azure) et des meilleures pratiques MLOps

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 https://benefits.autodesk.com/

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: https://www.autodesk.com/company/global-belonging

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