Principal ML Engineer, Machine Learning Platform and Systems Architecture

Job Requisition ID #

26WD97132

26WD97132, Principal Machine Learning Engineer, ML Platform and Systems Architecture

French translation to follow!/Traduction franaise suivre!

Position Overview

The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings,machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter.

Autodesk is looking for a Principal ML Engineer, ML Platform and Systems Architecture to lead the design and evolution of large-scale machine learning platforms. In this role, you will own high-impact technical initiatives that span ML infrastructure,data systems, model lifecycle tooling, and production architecture. You will work closely with researchers, product teams, andengineering leadership to build the systems that bring advanced machine learning into reliable, scalable product experiences.This is a senior technical leadership role for an engineer who excels at system architecture, distributed computing, and end-to-end platform thinking. You will help define the technical direction for ML systems and drive execution across ambiguous, cross-functional, high-value initiatives.This role is fully remote-friendly, with team members distributed across the US and Canada.

Location: US or Canada Remote

Responsibilities

• Lead architecture and delivery for major ML platform capabilities across training, evaluation, deployment, and observability
• Design scalable systems for distributed training, data processing, feature and model lifecycle management, and production inference
• Own platform-level technical outcomes from design through deployment, operations, and continuous improvement
• Drive the design and scaling of data pipelines for large-scale structured and semi-structured technical datasets
• Lead architecture for distributed data processing and orchestration systems such as Ray, Airflow, Spark, or similar platforms
• Establish strong practices for data lineage, provenance, governance, and responsible data usage in ML systems
• Guide the design of model deployment, inference services, monitoring, and observability for production ML workloads
• Contribute to the development of ML-ready representations for geometry, graph, hierarchical, or multimodal data
• Clarify ambiguous problem spaces, define solution approaches, and lead execution across multiple engineers and teams
• Establish and improve engineering standards, operational practices, and architectural patterns for ML systems
• Lead incident response for critical platform issues and drive lasting improvements across system health and supportability
• Mentor engineers and act as a force multiplier through design leadership, coaching, and technical reviews
• Communicate technical strategy, tradeoffs, and execution plans clearly to technical and non-technical stakeholders

Minimum Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent industry experience
• Typically 6 to 8 years of industry experience in software engineering, ML infrastructure, distributed systems, or platform engineering, including experience leading design and delivery of complex technical systems
• Deep experience in software architecture, distributed systems, large-scale data platforms, or ML infrastructure
• Strong proficiency in Python and strong command of production software engineering practices
• Experience leading complex technical initiatives that span multiple engineers or cross-functional teams
• Strong experience with large-scale data pipelines, distributed data processing, and cloud-native platform architectures
• Experience with model deployment, inference systems, and production observability
• Demonstrated ability to make architecture decisions that balance performance, scalability, reliability, and cost
• Strong communication and stakeholder management skills

Preferred Qualifications

• Experience building data governance, lineage, and provenance capabilities for ML platforms
• Experience building ML-ready representations for geometry, graph, hierarchical, or multimodal data
• Deep experience with distributed ML frameworks and large-scale training infrastructure
• Experience with Kubernetes, workflow orchestration systems, and modern ML platform tooling
• Experience with production incident leadership, service reviews, resiliency practices, and operational readiness
• Familiarity with AEC data, computational design workflows, BIM/CAD ecosystems, or Autodesk products

The Ideal Candidate

• Is a strong architect and hands-on engineer
• Drives clarity and momentum in ambiguous spaces
• Thinks at platform level and acts with strong product and business awareness
• Raises the engineering bar for system design, quality, and operational excellence
• Builds trust through technical depth, calm judgment, and execution leadership

26WD97132, Ingnieur principal en apprentissage automatique, Architecture des plateformes et des systmes d'apprentissage automatique

Prsentation du poste

Le travail que nous accomplissons chez Autodesk touche pratiquement chaque habitant de la plante. En crant des outils logiciels destins la conception de btiments, de machines et mme des films les plus rcents, nous influenons et donnons les moyens certaines des personnes les plus cratives au monde de rsoudre des problmes qui comptent.

Autodesk recherche un ingnieur principal en apprentissage automatique, architecture de plateformes et de systmes ML, pour diriger la conception et l'volution de plateformes d'apprentissage automatique grande chelle. ce poste, vous serez responsable d'initiatives techniques fort impact couvrant l'infrastructure ML, les systmes de donnes, les outils de gestion du cycle de vie des modles et l'architecture de production. Vous travaillerez en troite collaboration avec les chercheurs, les quipes produit et la direction technique pour construire les systmes qui transforment l'apprentissage automatique avanc en expriences produit fiables et volutives. Il s'agit d'un poste de direction technique senior destin un ingnieur excellant dans l'architecture systme, le calcul distribu et la rflexion sur les plateformes de bout en bout. Vous contribuerez dfinir l'orientation technique des systmes d'apprentissage automatique et piloterez la mise en ?uvre d'initiatives ambigus, transversales et forte valeur ajoute. Ce poste est entirement compatible avec le tltravail, les membres de l'quipe tant rpartis aux tats-Unis et au Canada.

Lieu : tats-Unis ou Canada (tltravail)

Responsabilits

• Diriger l'architecture et la mise en ?uvre des principales fonctionnalits de la plateforme d'apprentissage automatique (ML) en matire de formation, d'valuation, de dploiement et d'observabilit
• Concevoir des systmes volutifs pour la formation distribue, le traitement des donnes, la gestion du cycle de vie des caractristiques et des modles, ainsi que l'infrence en production
• Assumer la responsabilit des rsultats techniques au niveau de la plateforme, de la conception au dploiement, en passant par l'exploitation et l'amlioration continue
• Piloter la conception et la mise l'chelle de pipelines de donnes pour des ensembles de donnes techniques structurs et semi-structurs grande chelle
• Diriger l'architecture des systmes de traitement et d'orchestration de donnes distribus tels que Ray, Airflow, Spark ou des plateformes similaires
• Mettre en place des pratiques rigoureuses en matire de traabilit des donnes, de provenance, de gouvernance et d'utilisation responsable des donnes dans les systmes d'apprentissage automatique
• Guider la conception du dploiement des modles, des services d'infrence, de la surveillance et de l'observabilit pour les charges de travail d'apprentissage automatique en production
• Contribuer au dveloppement de reprsentations prtes pour l'apprentissage automatique pour les donnes gomtriques, graphiques, hirarchiques ou multimodales
• Clarifier les problmatiques ambigus, dfinir des approches de solution et diriger la mise en ?uvre en collaboration avec plusieurs ingnieurs et quipes
• tablir et amliorer les normes d'ingnierie, les pratiques oprationnelles et les modles architecturaux pour les systmes d'apprentissage automatique
• Diriger la gestion des incidents pour les problmes critiques de la plateforme et piloter des amliorations durables en matire de sant et de maintenabilit du systme
• Encadrer les ingnieurs et agir comme un multiplicateur de force par le biais du leadership en conception, du coaching et des revues techniques
• Communiquer clairement la stratgie technique, les compromis et les plans d'excution aux parties prenantes techniques et non techniques

Qualifications minimales

• Licence ou master en informatique, ingnierie ou dans un domaine connexe, ou exprience professionnelle quivalente
• Gnralement 6 8 ans d'exprience professionnelle en gnie logiciel, infrastructure ML, systmes distribus ou ingnierie de plateformes, y compris une exprience dans la direction de la conception et de la mise en ?uvre de systmes techniques complexes
• Exprience approfondie en architecture logicielle, systmes distribus, plateformes de donnes grande chelle ou infrastructure ML
• Matrise approfondie de Python et solide connaissance des pratiques d'ingnierie logicielle en production
• Exprience dans la direction d'initiatives techniques complexes impliquant plusieurs ingnieurs ou des quipes interfonctionnelles
• Solide exprience des pipelines de donnes grande chelle, du traitement distribu des donnes et des architectures de plateformes cloud-native
• Exprience du dploiement de modles, des systmes d'infrence et de l'observabilit en production
• Capacit avre prendre des dcisions architecturales qui concilient performances, volutivit, fiabilit et cot
• Solides comptences en communication et en gestion des parties prenantes

Qualifications souhaites

• Exprience dans la mise en place de capacits de gouvernance des donnes, de traabilit et de provenance pour les plateformes d'apprentissage automatique
• Exprience dans la cration de reprsentations prtes pour l'apprentissage automatique pour les donnes gomtriques, graphiques, hirarchiques ou multimodales
• Exprience approfondie des frameworks d'apprentissage automatique distribus et des infrastructures de formation grande chelle
• Exprience avec Kubernetes, les systmes d'orchestration de workflows et les outils modernes des plateformes d'apprentissage automatique
• Exprience dans la gestion des incidents en production, les revues de services, les pratiques de rsilience et la prparation oprationnelle
• Connaissance des donnes AEC, des workflows de conception computationnelle, des cosystmes BIM/CAO ou des produits Autodesk

Le candidat idal

• Est un architecte chevronn et un ingnieur de terrain
• Apporte clart et dynamisme dans des contextes ambigus
• Pense l'chelle de la plateforme et agit avec une forte conscience des produits et des enjeux commerciaux
• Relve le niveau d'exigence en matire d'ingnierie pour la conception des systmes, la qualit et l'excellence oprationnelle
• Instaure la confiance grce ses connaissances techniques approfondies, son jugement serein et son leadership en matire d'excution

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 ;br>
Salary transparency

Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $152,000 and $272,250. 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.

Diversity & Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: ;br>
Are you an existing contractor or consultant with Autodesk?

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