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Machine Learning Developer AI/ML Platform
Autodesk
Develop ML tools, pipelines, monitoring, and deployment for Autodesk's AI/ML platform.
7d ago
C$106,500 - C$156,200
Intermediate (4-7 years)
Full Time
Calgary, Alberta, Canada
Office Full-Time
Company Size
11,600 Employees
Service Specialisms
Design
Engineering
Construction
Architecture
Consulting
Product Development
Technology Solutions
Software Development
Sector Specialisms
Building Design
Construction
Automotive
Building Product Manufacturing
3D Animation
Architecture
Engineering
Construction Professionals
Role
What you would be doing
performance monitoring
model deployment
data pipelines
training support
research innovation
- Performance Monitoring & Optimization: Implement monitoring practices to track AI/ML model performance during training and in production, identifying bottlenecks and improving efficiency.
- Model Deployment & Versioning: Contribute to CI/CD pipelines and deployment workflows that ensure smooth, reliable model updates and rollbacks.
- Data Pipelines & Training Support: Work with customer teams to understand their data processing and model training needs, and help shape platform design with empathy.
- Research & Innovation: Stay current with developments in AI/ML, cloud computing, and MLOps, exploring ways to integrate new technologies that enhance platform capabilities.
- Pipelines de données et assistance à la formation : travailler avec les équipes clients pour comprendre leurs besoins en matière de traitement des données et de formation des modèles, et aider à concevoir la plateforme avec empathie.
What you bring
python
tensorflow
spark
mlflow
bs/ms
3-5 years
- Recherche et innovation : se tenir au courant des développements en matière d'IA/ML, de cloud computing et de MLOps, en explorant les moyens d'intégrer de nouvelles technologies qui améliorent les capacités de la plateforme.
- Big Data: Experience with big data technologies such as Hadoop, Spark, or Kafka
- Big Data : expérience des technologies Big Data telles que Hadoop, Spark ou Kafka
- Surveillance et optimisation des performances : mettre en œuvre des pratiques de surveillance pour suivre les performances des modèles d'IA/ML pendant la formation et la production, identifier les goulots d'étranglement et améliorer l'efficacité.
- Déploiement et gestion des versions des modèles : contribuer aux pipelines CI/CD et aux workflows de déploiement qui garantissent des mises à jour et des retours en arrière fluides et fiables des modèles.
- Education: BS or MS in Computer Science, or equivalent practical experience
- Formation : licence ou master en informatique, ou expérience pratique équivalente
- Cadres : Expérience pratique des cadres IA/ML (par exemple, TensorFlow, PyTorch) et compréhension des cycles de vie du développement des modèlesTensorFlow, PyTorch) et compréhension des cycles de vie du développement des modèles
- Model Monitoring: Familiarity with tools like MLflow, Kubeflow, or TensorBoard for tracking model performance
- Programming: Proficiency in Python and experience with another language such as Java or Go
- Collaboration : solides compétences en communication et envie de travailler avec des équipes interfonctionnelles
- Performance Awareness: Understanding of metrics and optimization techniques to improve system efficiency
- Surveillance des modèles : familiarité avec des outils tels que MLflow, Kubeflow ou TensorBoard pour le suivi des performances des modèles
- Esprit de croissance : engagement à apprendre en permanence et à se tenir au courant des tendances en matière d'IA/ML et d'ingénierie logicielle
- Programmation : maîtrise de Python et expérience avec un autre langage tel que Java ou Go
- Évolutivité et efficacité : intérêt pour les techniques de calcul haute performance pour l'entraînement et l'inférence
- Experience: 3-5 years of experience in software development, with exposure to production systems
- Frameworks: Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and understanding of model development lifecyclesTensorFlow, PyTorch) and understanding of model development li
- Collaboration: Strong communication skills and eagerness to work with cross-functional teams
- GPU Computing: Exposure to GPU computing for AI/ML workloads (CUDA, OpenCL, or similar)
- Calcul GPU : expérience du calcul GPU pour les charges de travail IA/ML (CUDA, OpenCL ou similaire)
- Expérience : 3 à 5 ans d'expérience dans le développement de logiciels, avec une exposition aux systèmes de production
- Problem-Solving: Ability to analyze complex issues and contribute to practical, effective solutions
- Résolution de problèmes : capacité à analyser des problèmes complexes et à contribuer à des solutions pratiques et efficaces
- AI/ML Knowledge: Familiarity with deep learning, statistical modeling, or neural networks
- Connaissances en IA/ML : Familiarité avec l'apprentissage profond, la modélisation statistique ou les réseaux neuronaux
- Sensibilité à la performance : compréhension des mesures et des techniques d'optimisation pour améliorer l'efficacité du système
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Interview process
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Company
Overview
Founded in 1982
Year of establishment
Marks the beginning of Autodesk's journey in pioneering design software solutions.
- Pioneered software for 2D and 3D design, revolutionizing industries.
- Known for products like AutoCAD, it reshaped architecture, engineering, and manufacturing workflows.
- Empowering creators in fields from construction to digital media, enabling more innovative designs.
- Develops tools used in iconic projects, from skyscrapers to blockbuster movies.
- Pushes the boundaries of design technology, leading the way in artificial intelligence and automation.
- Software is a cornerstone in diverse sectors, from industrial to infrastructure, energy, and entertainment.
- Cloud-based solutions streamline design processes and foster real-time collaboration across industries.
- A leader in 3D design software, with solutions powering projects in every corner of the globe.
- Committed to shaping the future of digital design, bringing complex visions to life.
- Innovation: We believe in the power of creativity to push boundaries and change the world.
- Collaboration: We work together to create solutions that make a difference.
- Customer Success: We are focused on delivering products and services that help our customers succeed.
- Sustainability: We are committed to making a positive impact on the planet and communities.
- Integrity: We act with honesty and uphold the highest ethical standards.
- Inclusion: We embrace diverse perspectives and strive for an environment where everyone belongs.
2023
Net-zero commitment
Aiming to achieve net-zero carbon status, a critical step in combating climate change.
35%
Carbon emissions reduction
Significant reduction in overall carbon footprint across all emission scopes since 2019.
- Designing products that help users make more sustainable decisions, including tools for low-carbon building design.
- Aims to advance climate resilience by providing tools to better predict and plan for climate risks.
- Promotes circular design principles and helps customers optimize material use and reduce waste.
30% Female Workforce
Gender Diversity
As of 2023, 30% of the global workforce identifies as female, highlighting progress in gender diversity across the organization.
25% Leadership Representation
Female Leadership
25% of leadership positions are held by women, indicating strides toward gender parity in executive roles.
2025 Diversity Goal
Leadership Commitment
A strategic initiative to boost representation of underrepresented groups in leadership positions by 2025.
12 Employee Groups
Employee Resource Networks
Twelve employee resource groups are supported, fostering inclusion and community for diverse populations including women, LGBTQ+, and veterans.
- Leadership Commitment: Has set a goal to increase representation of underrepresented groups in leadership by 2025.
- Inclusive Hiring: Implements inclusive recruitment practices and strives for diverse candidate slates for all roles.
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