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Principal Machine Learning Operations Developer for AEC

Autodesk

Canada
Remote
CAD 80,000 - 100,000
30+ days ago
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Principal Machine Learning Operations Developer for AEC

Autodesk

Montreal
Remote
CAD 80,000 - 100,000
30+ days ago

Hot Opportunity: Part-Time Remote Market Research Roles in Vancouver - Apply Fast!

Occupons Quebec

Vancouver
Remote
CAD 30,000 - 60,000
30+ days ago

5 Urgent and Confidential Market Research opportunities in Vancouver - Remote Jobs - Part-Time Job

Occupons Quebec

Vancouver
Remote
CAD 30,000 - 60,000
30+ days ago

Exciting Remote Market Research Roles in Vancouver - Limited to 5 Part-Time Positions!

Occupons Quebec

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CAD 30,000 - 60,000
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Développeur logiciel pour le SDK CSS (C++) / Senior Software Developer SDK CSS (C++)

Cerence

Canada
Remote
CAD 80,000 - 100,000
30+ days ago

Principal Machine Learning Operations Developer for AEC

Autodesk

Alberta
Remote
CAD 100,000 - 140,000
30+ days ago

Principal Machine Learning Operations Developer for AEC

Autodesk

Calgary
Remote
CAD 80,000 - 100,000
30+ days ago
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< CAD 30,000
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Principal Machine Learning Operations Developer for AEC

Autodesk

New Brunswick
Remote
CAD 100,000 - 140,000
30+ days ago

Part-Time Work Opportunity in Langley - Join Our Team Today!

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City of Langley
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< CAD 30,000
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Principal Machine Learning Operations Developer for AEC

Autodesk

Toronto
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CAD 100,000 - 125,000
30+ days ago

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CAD 30,000 - 60,000
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Principal Machine Learning Operations Developer for AEC
Autodesk
Canada
Remote
CAD 80,000 - 100,000
Full time
30+ days ago

Job summary

A leading software company is seeking a Principal Machine Learning Operations Developer to work within a remote team. This role involves building scalable ML training pipelines and optimizing distributed systems to enhance AI applications in architecture and engineering. Ideal candidates will have a strong background in ML infrastructure, distributed systems, and cloud services, particularly in a collaboration context to drive innovation in design practices.

Benefits

Competitive salary
Annual bonuses
Comprehensive benefits package

Qualifications

  • Experience with distributed systems for machine learning and deep learning at scale.
  • Strong knowledge of ML infrastructure and model parallelism techniques.
  • Excellent written documentation skills to document code, architectures, and experiments.

Responsibilities

  • Support AI researchers by building scalable ML training pipelines.
  • Design data processing workflows for large-scale design datasets.
  • Optimize distributed training systems for efficiency.

Skills

Distributed systems for machine learning
ML infrastructure
Data engineering
Python
Collaboration

Education

BSc or MSc in Computer Science or related field

Tools

PyTorch
AWS
Azure
Apache Spark
Docker
Kubernetes
Job description
Overview

Job Requisition ID 25WD91976

Position Principal Machine Learning Operations Developer for AEC (Architecture, Engineering and Construction)

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.

As a MLOps Developer for AEC you will be working side-by-side with world-class AI researchers to build and scale foundation models trained on design data. You will focus on overcoming the challenges associated with large-scale model training and processing of vast amounts of diverse design data. Your expertise in distributed systems, ML infrastructure, and data engineering will be crucial in developing the next generation of ML-powered product features that will help our customers imagine, design, and make a better world.

You'll be joining a rapidly growing team working on a project that aims to revolutionize the design of nearly every aspect of the built environment. Your contributions will directly influence how designers, architects, and engineers interact with AI tools in the future.

This role is fully remote-friendly. Our team operates primarily remotely with team members distributed across the globe, with offices in Boston, Toronto and other locations in US and Canada. At Autodesk, we embrace remote work while fostering connection through regular team offsites for collaborative planning and relationship building. This balanced approach ensures you can work where you're most productive while maintaining meaningful connections with colleagues.

Location: US or Canada Remote

Responsibilities
  • Support AI researchers by building scalable ML training pipelines and infrastructure for foundation model development
  • Design efficient data processing workflows for large-scale design datasets and industry-specific file formats
  • Optimize distributed training systems and develop solutions for model parallelism, checkpointing, and efficient resource management
  • Analyze performance bottlenecks and provide solutions to scaling problems
  • Implement and maintain robust, testable code that is well documented and easy to understand
  • Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
  • Present results to collaborators and leadership
Minimum Qualifications
  • BSc or MSc in Computer Science or related field, or equivalent industry experience
  • Experience with distributed systems for machine learning and deep learning at scale
  • Strong knowledge of ML infrastructure and model parallelism techniques, including frameworks like PyTorch, Lightning, Megatron, DeepSpeed, and FSDP. Proficiency in Python and strong software engineering practices
  • Experience with cloud services and architectures (AWS, Azure, etc.)
  • Familiarity with version control, CI/CD, and deployment pipelines
  • Excellent written documentation skills to document code, architectures, and experiments
Preferred Qualifications
  • Experience with AEC data formats (e.g., BIM models, IFC files, CAD files, Drawing Sets)
  • Knowledge of the AEC industry and its specific data processing challenges
  • Experience scaling ML training and data pipelines for large datasets
  • Experience with distributed data processing and ML infrastructure (e.g., Apache Spark, Ray, Docker, Kubernetes)
  • Experience with performance optimization, monitoring, and efficiency in large-scale ML systems
  • Experience with Autodesk or similar products (Revit, Sketchup, Forma)
The Ideal Candidate
  • A self-starter who can solve problems with minimal supervision while collaborating effectively with a global, remote-first team
  • Adaptable and creative, comfortable building new infrastructure or working within existing codebases
  • Thrives in ambiguous, rapidly evolving areas where learning and flexibility are essential
  • Excellent communicator who can convey complex technical concepts clearly to diverse audiences
Learn More / Plus d information
About Autodesk / À propos d’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!

Bienvenue chez Autodesk! Nos logiciels créent chaque jour des choses extraordinaires: des bâtiments les plus écologiques aux voitures les plus propres, en passant par les usines les plus intelligentes et les films à succès. Nous aidons les innovateurs à concrétiser leurs idées, transformant non seulement la façon dont les choses sont fabriquées, mais aussi ce qui peut l’être. Nous sommes très fiers de notre culture chez Autodesk; elle est au cœur de tout ce que nous faisons. Notre culture guide notre façon de travailler et de nous comporter les uns envers les autres, influence nos interactions avec nos clients et nos partenaires, et définit notre image au monde. En tant qu’Autodeskien, vous pouvez accomplir un travail significatif qui contribue à bâtir un monde meilleur, conçu et réalisé pour tous. Prêt à façonner le monde et votre avenir? Rejoignez-nous!

Salary transparency / Transparence salariale

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Le salaire est l'un des éléments du programme de rémunération concurrentiel d'Autodesk. Pour les postes basés au Canada (Colombie-Britannique), nous proposons un salaire de base compris entre X et X dollars. Les offres sont basées sur l'expérience et la situation géographique du candidat et peuvent dépasser cette fourchette. En plus du salaire de base, notre programme de rémunération peut inclure des primes annuelles en espèces, des commissions pour les postes commerciaux, des attributions d'actions et un ensemble complet d'avantages sociaux.

Diversity & Belonging / Diversité et appartenance

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Autodesk Diversity and Belonging. Nous sommes fiers de cultiver une culture d’appartenance où chacun peut s’épanouir. Pour en savoir plus, cliquez ici : Autodesk 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). Veuillez rechercher des emplois vacants et postuler à l’interne (pas sur ce site externe).

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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