Senior Machine Learning Engineer
Autodesk
Senior Machine Learning Engineer
Job Description
Senior Machine Learning Engineer
📋 Job Overview
As a Senior Machine Learning Engineer at Autodesk, you will develop and deploy advanced ML models to enhance design and engineering workflows in a remote role based in Canada. The position involves collaborating with cross-functional teams to innovate AI-driven solutions for Autodesk's software products. This role requires deep expertise in machine learning and a passion for applying AI to real-world problems in the AEC industry.
📍 Location: Ontario, CAN - Remote (Remote/Hybrid)
📅 Posted: Posted 10 Days Ago
🎯 Key Responsibilities
- Design and implement machine learning models for design automation
- Collaborate with product teams to integrate AI features into Autodesk tools
- Optimize ML pipelines for performance and scalability
- Conduct research on emerging AI technologies relevant to engineering workflows
- Mentor junior engineers and contribute to team best practices
✅ Required Qualifications
- Master's or PhD in Computer Science, Machine Learning, or related field
- 5+ years of experience in machine learning engineering
- Strong background in developing and deploying ML models at scale
- Experience with cloud platforms (AWS, Azure, or GCP)
- Proficiency in Python and ML frameworks
⭐ Preferred Qualifications
- Experience in the AEC (Architecture, Engineering, Construction) domain
- Knowledge of generative AI and large language models
- Contributions to open-source ML projects
- Familiarity with Autodesk software products
🛠️ Required Skills
- Machine Learning (supervised/unsupervised learning, deep learning)
- Python, TensorFlow, PyTorch
- Data processing with Pandas, NumPy
- Cloud computing (AWS, Azure, GCP)
- Version control with Git
- Problem-solving and collaboration skills
- Experience with Docker and Kubernetes for deployment
🎁 Benefits & Perks
- Comprehensive health and dental coverage
- Remote work flexibility with home office setup allowance
- Professional development and learning opportunities
- Employee stock purchase plan
- Generous vacation and parental leave policies
Locations
- Ontario, CAN - Remote (Remote)
Salary
Estimated Salary Rangemedium confidence
140,000 - 200,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learning (supervised/unsupervised learning, deep learning)intermediate
- Python, TensorFlow, PyTorchintermediate
- Data processing with Pandas, NumPyintermediate
- Cloud computing (AWS, Azure, GCP)intermediate
- Version control with Gitintermediate
- Problem-solving and collaboration skillsintermediate
- Experience with Docker and Kubernetes for deploymentintermediate
Required Qualifications
- Master's or PhD in Computer Science, Machine Learning, or related field (experience)
- 5+ years of experience in machine learning engineering (experience)
- Strong background in developing and deploying ML models at scale (experience)
- Experience with cloud platforms (AWS, Azure, or GCP) (experience)
- Proficiency in Python and ML frameworks (experience)
Preferred Qualifications
- Experience in the AEC (Architecture, Engineering, Construction) domain (experience)
- Knowledge of generative AI and large language models (experience)
- Contributions to open-source ML projects (experience)
- Familiarity with Autodesk software products (experience)
Responsibilities
- Design and implement machine learning models for design automation
- Collaborate with product teams to integrate AI features into Autodesk tools
- Optimize ML pipelines for performance and scalability
- Conduct research on emerging AI technologies relevant to engineering workflows
- Mentor junior engineers and contribute to team best practices
Benefits
- general: Comprehensive health and dental coverage
- general: Remote work flexibility with home office setup allowance
- general: Professional development and learning opportunities
- general: Employee stock purchase plan
- general: Generous vacation and parental leave policies
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Answer 10 quick questions to check your fit for Senior Machine Learning Engineer @ Autodesk.
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Senior Machine Learning Engineer
Autodesk
Senior Machine Learning Engineer
Job Description
Senior Machine Learning Engineer
📋 Job Overview
As a Senior Machine Learning Engineer at Autodesk, you will develop and deploy advanced ML models to enhance design and engineering workflows in a remote role based in Canada. The position involves collaborating with cross-functional teams to innovate AI-driven solutions for Autodesk's software products. This role requires deep expertise in machine learning and a passion for applying AI to real-world problems in the AEC industry.
📍 Location: Ontario, CAN - Remote (Remote/Hybrid)
📅 Posted: Posted 10 Days Ago
🎯 Key Responsibilities
- Design and implement machine learning models for design automation
- Collaborate with product teams to integrate AI features into Autodesk tools
- Optimize ML pipelines for performance and scalability
- Conduct research on emerging AI technologies relevant to engineering workflows
- Mentor junior engineers and contribute to team best practices
✅ Required Qualifications
- Master's or PhD in Computer Science, Machine Learning, or related field
- 5+ years of experience in machine learning engineering
- Strong background in developing and deploying ML models at scale
- Experience with cloud platforms (AWS, Azure, or GCP)
- Proficiency in Python and ML frameworks
⭐ Preferred Qualifications
- Experience in the AEC (Architecture, Engineering, Construction) domain
- Knowledge of generative AI and large language models
- Contributions to open-source ML projects
- Familiarity with Autodesk software products
🛠️ Required Skills
- Machine Learning (supervised/unsupervised learning, deep learning)
- Python, TensorFlow, PyTorch
- Data processing with Pandas, NumPy
- Cloud computing (AWS, Azure, GCP)
- Version control with Git
- Problem-solving and collaboration skills
- Experience with Docker and Kubernetes for deployment
🎁 Benefits & Perks
- Comprehensive health and dental coverage
- Remote work flexibility with home office setup allowance
- Professional development and learning opportunities
- Employee stock purchase plan
- Generous vacation and parental leave policies
Locations
- Ontario, CAN - Remote (Remote)
Salary
Estimated Salary Rangemedium confidence
140,000 - 200,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learning (supervised/unsupervised learning, deep learning)intermediate
- Python, TensorFlow, PyTorchintermediate
- Data processing with Pandas, NumPyintermediate
- Cloud computing (AWS, Azure, GCP)intermediate
- Version control with Gitintermediate
- Problem-solving and collaboration skillsintermediate
- Experience with Docker and Kubernetes for deploymentintermediate
Required Qualifications
- Master's or PhD in Computer Science, Machine Learning, or related field (experience)
- 5+ years of experience in machine learning engineering (experience)
- Strong background in developing and deploying ML models at scale (experience)
- Experience with cloud platforms (AWS, Azure, or GCP) (experience)
- Proficiency in Python and ML frameworks (experience)
Preferred Qualifications
- Experience in the AEC (Architecture, Engineering, Construction) domain (experience)
- Knowledge of generative AI and large language models (experience)
- Contributions to open-source ML projects (experience)
- Familiarity with Autodesk software products (experience)
Responsibilities
- Design and implement machine learning models for design automation
- Collaborate with product teams to integrate AI features into Autodesk tools
- Optimize ML pipelines for performance and scalability
- Conduct research on emerging AI technologies relevant to engineering workflows
- Mentor junior engineers and contribute to team best practices
Benefits
- general: Comprehensive health and dental coverage
- general: Remote work flexibility with home office setup allowance
- general: Professional development and learning opportunities
- general: Employee stock purchase plan
- general: Generous vacation and parental leave policies
Tags & Categories
Answer 10 quick questions to check your fit for Senior Machine Learning Engineer @ Autodesk.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs