Machine Learning Developer AI/ML Platform

Position Overview

We are seeking a Machine Learning Developer to join the AI/ML Platform team, contributing to the design and development of tooling that supports data scientists and research engineers. The ideal candidate will bring a solid background in software development, a strong understanding of AI/ML technologies, and hands-on experience applying data science to real-world problems. This role calls for a collaborative engineer who enjoys solving complex challenges, learning from teammates, and delivering high-quality solutions. You will play an important role in advancing our AI/ML capabilities and helping deliver systems that provide significant value to Autodesk.

Responsibilities

• Data Pipelines & Training Support: Work with customer teams to understand their data processing and model training needs, and help shape platform design with empathy.
• 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.
• Research & Innovation: Stay current with developments in AI/ML, cloud computing, and MLOps, exploring ways to integrate new technologies that enhance platform capabilities.

Minimum Qualifications

• Education: BS or MS in Computer Science, or equivalent practical experience
• Experience: 3-5 years of experience in software development, with exposure to production systems
• AI/ML Knowledge: Familiarity with deep learning, statistical modeling, or neural networks
• 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
• Programming: Proficiency in Python and experience with another language such as Java or Go
• Problem-Solving: Ability to analyze complex issues and contribute to practical, effective solutions
• Collaboration: Strong communication skills and eagerness to work with cross-functional teams
• Performance Awareness: Understanding of metrics and optimization techniques to improve system efficiency
• Growth Mindset: Commitment to continuous learning and keeping up with trends in AI/ML and software engineering

Preferred Qualifications

• GPU Computing: Exposure to GPU computing for AI/ML workloads (CUDA, OpenCL, or similar)
• Big Data: Experience with big data technologies such as Hadoop, Spark, or Kafka
• Model Monitoring: Familiarity with tools like MLflow, Kubeflow or TensorBoard for tracking model performance
• Scalability & Efficiency: Interest in high-performance computing techniques for training and inference

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, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.