Senior Machine Learning Developer

Posted 22 Days Ago
Be an Early Applicant
2 Locations
107K-156K Annually
Senior level
Big Data • Cloud • Digital Media • Machine Learning • Mobile • Software • Industrial
Autodesk is a global leader in design and make technology that helps innovators everywhere solve today's challenges.
The Role
As a Senior Machine Learning Developer, you will build and optimize machine learning models and systems, manage deployment pipelines, and ensure model performance while collaborating across teams.
Summary Generated by Built In

Job Requisition ID #

25WD86162

French job description to follow!/La description de poste en français se trouve plus bas!

Position Overview

Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation.
As a Senior ML Developer at Autodesk, you will be responsible for the development and training of cutting-edge machine learning models and algorithms that can effectively leverage our members’ platform activities and industry trends to create personalized recommendations that are delivered to our members at the optimal moment.

Responsibilities

  • As a Senior Machine Learning Developer at Autodesk, you will be responsible for the development and training of cutting-edge machine learning models and algorithms that can effectively leverage our platform activities and industry trends to create personalized recommendations that are delivered to our customers at the optimal moment

  • Work with BIG data, build scalable AI innovations

  • Write production quality code and influence the next generation of Autodesk customer experience

  • Test and Deploy Production Models: Automate ML model testing

  • Implement and use CI/CD pipelines to ensure seamless model deployment

  • Monitor Model Health and Performance: Define, implement, and continuously monitor health metrics for deployed models

  • Manage Re-Training Pipelines: Take ownership of the re-training pipeline for deployed ML models, ensuring they are continuously updated and optimized for performance

  • Optimize Performance and Efficiency: Identify opportunities to enhance model performance, reduce computational costs, and minimize latency. Implement best practices to achieve these goals

  • Product Ownership: Adopt a full product ownership mindset, escalating issues when necessary and effectively presenting results and insights to stakeholders and leadership 

Minimum Qualifications 

  • Bachelor's or master's degree in computer science, a related technical field, or equivalent practical experience

  • 3+ years of hands-on experience in machine learning design, development and deployment

  • 3+ years of hands-on experience with data mining, and information retrieval or natural language processing

  • Hands-on experience in online machine learning model deployment in a cloud service such as AWS.

  • Strong background in API development (REST) with experience in designing and implementing robust solutions

  • Expert-level proficiency in programming languages such as Java, Python, etc.

  • Proven track record of leading fast-paced engineering teams to tackle large-scale AI problems

  • Track record of producing papers in conferences such as KDD, WWW, WSDM, and Patenting Innovations

  • Experienced in Agile development environments, with a proven ability to adapt to dynamic team structures

  • Skilled at collaborating with distributed teams across various geographies and time zones

  • Proven leadership in incident response, including driving root cause analysis and implementing preventive measures

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Description du poste

Les développeurs en apprentissage automatique sont à la fois des scientifiques spécialisés dans les données et la recherche et des ingénieurs logiciels qui développent et mettent en œuvre des modèles et des algorithmes d'apprentissage automatique. Contrairement à d'autres entreprises qui séparent ces rôles, nos ingénieurs travaillent sur des projets depuis l'idéation jusqu'à la mise en œuvre.
En tant qu'ingénieur ML senior chez Autodesk, vous serez responsable du développement et de la formation de modèles et d'algorithmes d'apprentissage automatique de pointe qui peuvent exploiter efficacement les activités de la plateforme de nos membres et les tendances de l'industrie pour créer des recommandations personnalisées qui sont livrées à nos membres au moment optimal.

Responsabilités

  • En tant que développeur principal en apprentissage automatique chez Autodesk, vous serez responsable du développement et de la formation de modèles et d'algorithmes d'apprentissage automatique de pointe qui peuvent exploiter efficacement les activités de notre plateforme et les tendances de l'industrie pour créer des recommandations personnalisées qui sont livrées à nos clients au moment optimal

  • Travaillez avec des données BIG, construisez des innovations évolutives en matière d'IA

  • Écrivez du code de qualité de production et influencez la prochaine génération de l'expérience client Autodesk

  • Testez et déployez des modèles de production : Automatisez les tests de modèles ML

  • Mettez en œuvre et utilisez des pipelines CI/CD pour garantir un déploiement transparent des modèles

  • Contrôlez la santé et les performances des modèles : Définissez, mettez en œuvre et surveillez en permanence les mesures de santé des modèles déployés

  • Gérer les pipelines de ré-entraînement : Prenez en charge le pipeline de réentraînement des modèles de ML déployés, en veillant à ce qu'ils soient continuellement mis à jour et optimisés en termes de performances

  • Optimiser les performances et l'efficacité : Identifiez les possibilités d'améliorer les performances des modèles, de réduire les coûts de calcul et de minimiser la latence. Mettez en œuvre les meilleures pratiques pour atteindre ces objectifs

  • Appropriation du produit : Adopter un état d'esprit de propriété totale du produit, en faisant remonter les problèmes si nécessaire et en présentant efficacement les résultats et les idées aux parties prenantes et à la direction

Qualifications minimales

  • Baccalauréat ou maîtrise en informatique, dans un domaine technique connexe, ou expérience pratique équivalente

  • Plus de 3 ans d'expérience pratique dans la conception, le développement et le déploiement de l'apprentissage automatique

  • Plus de 3 ans d'expérience pratique dans l'exploration de données, la recherche d'informations ou le traitement du langage naturel

  • Expérience pratique du déploiement de modèles d'apprentissage automatique en ligne dans un service en nuage tel qu'AWS

  • Solides connaissances en développement d'API (REST) et expérience dans la conception et la mise en œuvre de solutions robustes

  • Maîtrise des langages de programmation tels que Java, Python, etc.

  • Vous avez démontré votre capacité à diriger des équipes d'ingénieurs au rythme soutenu pour résoudre des problèmes d'intelligence artificielle à grande échelle

  • Expérience de la production d'articles dans des conférences telles que KDD, WWW, WSDM et Patenting Innovations

  • Expérience des environnements de développement Agile, avec une capacité avérée à s'adapter à des structures d'équipe dynamiques

  • Capacité à collaborer avec des équipes réparties dans différentes zones géographiques et fuseaux horaires

  • Leadership avéré en matière de réponse aux incidents, y compris la conduite de l'analyse des causes profondes et la mise en œuvre de mesures préventives

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!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada-BC based roles, we expect a starting base salary between $106,500 and $156,200. 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.

Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

Top Skills

AWS
Ci/Cd
Java
Python
Rest
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The Company
HQ: San Francisco, CA
13,285 Employees
Hybrid Workplace
Year Founded: 1982

What We Do

Autodesk makes software for people who make things. If you’ve ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched a great film, chances are you’ve experienced what millions of Autodesk customers are doing with our software. Autodesk gives you the power to make anything.

Over 100 million people use Autodesk software like AutoCAD, Revit, Maya, 3ds Max, Fusion 360, SketchBook, and more to unlock their creativity and solve important design, business and environmental challenges. Our software runs on both personal computers and mobile devices and taps the infinite computing power of the cloud to help teams around the world collaborate, design, simulate and fabricate their ideas in 3D.

We provide exceptional compensation/benefit packages and we’d love for you to join us. We’re proud to be an equal opportunity employer and we consider all qualified applicants without regard to race, gender, disability, veteran status or other protected category. To see our culture in action, check out #AutodeskLife.

We are headquartered in the San Francisco Bay Area and have more than 10,000 employees worldwide.

Why Work With Us

Our work is impactful. Our people are innovative. And our culture is inclusive. As our software shapes new solutions to the world’s biggest challenges, you shape your career path. With us, you lead the way in achieving sustainability, resilient communities, and an equitable workforce. Discover #AutodeskLife. 

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