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ML Ops Engineer - San Diego, United States - Autodesk
Description
Job Requisition ID #
23WD74274
La traduction en Français se trouve plus bas/The French translation can be found below
23WD74274 ML Ops Engineer
Position Overview
As a Machine Learning Operations Engineer at Autodesk Research, you will be working side-by-side with world-class researchers and engineers doing fundamental and applied research that will help our customers imagine, design, and make a better world. You are a software engineer who is passionate about building things, and deploying solutions. You are excited to collaborate with our Research Scientists to perform experiments and deploy state-of-the-art generative AI algorithms. You are comfortable serving as a translator and straddling the gap between research & development.
The location of this role is flexible. We are a global team, located in London, San Francisco, Toronto, and remotely. Autodesk is a flexible hybrid-first company, allowing workers to work remotely, in an office, or a mix of both.
Reporting to: Senior Manager
Responsibilities
Configuring infrastructure to enable model training and hyperparameter tuning
Implementing scaling techniques for training large models
Optimizing the computational performance and data size of deployed large models
Supporting research through the construction of experimental pipelines, prototypes, and reusable code
Collaborating on research projects and papers with a diverse, global team of researchers and engineers
Minimum Qualifications
BSc or MSc in Computer Science, or equivalent industry experience
2+ years of experience with deep learning and generative models
Experience with cloud services & architectures for deploying large models (AWS, Azure, etc.)
Experience with version controlling, reproducibility, and deploying machine learning models
Strong data modelling and data architecture skills
Proficiency with modern deep learning libraries and frameworks
Proficiency in coordinating, provisioning, and maintaining systems and compute infrastructure
Preferred Qualifications
Experience scaling ML training pipelines
Experience deploying large models
Experience with sync/async distributed methods for data/model parallelism
Experience working in large distributed systems
Multi-modal deep learning and/or information retrieval
Knowledge of the design, manufacturing, AEC, or media & entertainment industries
Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)
The Ideal Candidate
A Software Engineer with experience building and deploying robust machine learning systems
Familiar with implementing experimental pipelines and prototyping AI applications
Comfortable building prototypes from scratch and writing maintainable code within existing codebases
Who is excited to learn & develop new technologies
Who can effectively collaborate across global locations
23WD74274 Ingénieur(e) en opérations d ' apprentissage automatique
Présentation du poste
En tant qu'ingénieur(e) en opérations d'apprentissage automatique chez Autodesk Research, vous travaillerez en parallèle avec des chercheurs et des ingénieurs de classe mondiale qui mènent des recherches fondamentales et appliquées qui aideront nos clients à imaginer, à concevoir et à créer un monde meilleur. Vous êtes un(e) développeur(-euse) de logiciels passionné(e) par la construction et le déploiement de solutions. Vous êtes heureux(-euse) de collaborer avec nos chercheurs pour réaliser des expériences et déployer des algorithmes d'IA générative de pointe. Vous êtes à l'aise pour servir d'intermédiaire et combler le fossé entre la recherche et le développement.
L'emplacement de ce rôle est flexible. Nous sommes une équipe internationale, située à Londres, à San Francisco et à Toronto, et travaillant à distance. Autodesk est une entreprise flexible hybride avant tout, qui permet aux employés de travailler à distance, dans un bureau ou en combinant les deux.
Sous l'autorité de : Gestionnaire principal
Responsabilités
Configurer l'infrastructure pour permettre la formation de modèles et le réglage des hyperparamètres
Mettre en œuvre des techniques d'échelonnement pour la formation pour des grands modèles
Optimiser les performances informatiques et la taille des données des grands modèles déployés
Soutenir la recherche par la construction de pipelines expérimentaux, de prototypes et de code réutilisable
Collaborer à des projets et des documents de recherche avec une équipe internationale diversifiée de chercheurs et d'ingénieurs
Exigences minimales
Baccalauréat ou maîtrise en informatique, ou expérience équivalente dans le secteur
Au moins 2 ans d'expérience avec l'apprentissage profond et les modèles génératifs
Expérience avec les services et les architectures infonuagiques pour le déploiement de grands modèles (AWS, Azure, etc.)
Expérience en matière de contrôle des versions, de reproductibilité et de déploiement de modèles d'apprentissage automatique
Solides compétences en modélisation et en architecture des données
Maîtrise des bibliothèques et des structures modernes d'apprentissage profond
Maîtrise de la coordination, de l'approvisionnement et de la maintenance des systèmes et de l'infrastructure informatique
Compétences souhaitées
Expérience dans l'échelonnement des pipelines de la formation de l'apprentissage automatique
Expérience de déploiement de grands modèles
Expérience avec les méthodes distribuées synchronisées ou asynchrones pour le parallélisme des données et des modèles
Expérience de travail sur des systèmes distribués de grande taille
Apprentissage profond multimodal et/ou extraction d'informations
Connaissance des secteurs de la conception, de la fabrication, de l'AEC ou des multimédia et du divertissement
Expérience avec Autodesk ou des produits similaires (CAO, IAO, FAO, etc.)
La personne idéale
Un(e) développeur(-euse) de logiciels expérimenté(e) dans la construction et le déploiement de systèmes d'apprentissage automatique performants
Maîtrise de la mise en œuvre de pipelines expérimentaux et du prototypage d'applications d'IA
À l'aise dans la création de prototypes à partir de zéro et de l'écriture de code gérable dans les bases de codes existantes
Enthousiaste à l'idée d'apprendre et de développer de nouvelles technologies
Peut collaborer efficacement avec des emplacements à l'international
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 – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future 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
Salary transparency
Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $114,800 and $198,000. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on 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.
Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here:
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