Senior Machine Learning Engineer
Autodesk
Senior Machine Learning Engineer
Job Description
Senior Machine Learning Engineer
📋 Job Overview
The Senior Machine Learning Engineer at Autodesk will lead the development of advanced AI models to enhance design and engineering workflows. Based in Canada, the role involves collaborating with cross-functional teams to deploy scalable ML solutions that drive innovation in the AEC industry. This position offers an opportunity to impact global products through cutting-edge machine learning techniques.
📍 Location: Vancouver, BC, Canada
📅 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 software
- Optimize ML pipelines for performance and scalability
- Conduct research on emerging AI technologies and apply them to real-world problems
- 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)
⭐ Preferred Qualifications
- Experience in the AEC (Architecture, Engineering, Construction) domain
- Familiarity with Autodesk products (e.g., AutoCAD, Revit)
- Contributions to open-source ML projects
- Knowledge of generative AI and large language models
🛠️ Required Skills
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch)
- Experience with data processing tools (Pandas, NumPy)
- Knowledge of version control (Git) and CI/CD pipelines
- Strong problem-solving and communication skills
- Familiarity with SQL and big data technologies (Spark, Hadoop)
🎁 Benefits & Perks
- Comprehensive health and dental coverage
- Retirement savings plan with company matching
- Flexible work arrangements including remote options
- Professional development budget and learning opportunities
- Paid time off and parental leave
- Employee stock purchase plan
Locations
- Vancouver, BC, Canada
Salary
Estimated Salary Rangemedium confidence
140,000 - 200,000 CAD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch)intermediate
- Experience with data processing tools (Pandas, NumPy)intermediate
- Knowledge of version control (Git) and CI/CD pipelinesintermediate
- Strong problem-solving and communication skillsintermediate
- Familiarity with SQL and big data technologies (Spark, Hadoop)intermediate
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)
Preferred Qualifications
- Experience in the AEC (Architecture, Engineering, Construction) domain (experience)
- Familiarity with Autodesk products (e.g., AutoCAD, Revit) (experience)
- Contributions to open-source ML projects (experience)
- Knowledge of generative AI and large language models (experience)
Responsibilities
- Design and implement machine learning models for design automation
- Collaborate with product teams to integrate AI features into Autodesk software
- Optimize ML pipelines for performance and scalability
- Conduct research on emerging AI technologies and apply them to real-world problems
- Mentor junior engineers and contribute to team best practices
Benefits
- general: Comprehensive health and dental coverage
- general: Retirement savings plan with company matching
- general: Flexible work arrangements including remote options
- general: Professional development budget and learning opportunities
- general: Paid time off and parental leave
- general: Employee stock purchase plan
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
Senior Machine Learning Engineer
Autodesk
Senior Machine Learning Engineer
Job Description
Senior Machine Learning Engineer
📋 Job Overview
The Senior Machine Learning Engineer at Autodesk will lead the development of advanced AI models to enhance design and engineering workflows. Based in Canada, the role involves collaborating with cross-functional teams to deploy scalable ML solutions that drive innovation in the AEC industry. This position offers an opportunity to impact global products through cutting-edge machine learning techniques.
📍 Location: Vancouver, BC, Canada
📅 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 software
- Optimize ML pipelines for performance and scalability
- Conduct research on emerging AI technologies and apply them to real-world problems
- 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)
⭐ Preferred Qualifications
- Experience in the AEC (Architecture, Engineering, Construction) domain
- Familiarity with Autodesk products (e.g., AutoCAD, Revit)
- Contributions to open-source ML projects
- Knowledge of generative AI and large language models
🛠️ Required Skills
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch)
- Experience with data processing tools (Pandas, NumPy)
- Knowledge of version control (Git) and CI/CD pipelines
- Strong problem-solving and communication skills
- Familiarity with SQL and big data technologies (Spark, Hadoop)
🎁 Benefits & Perks
- Comprehensive health and dental coverage
- Retirement savings plan with company matching
- Flexible work arrangements including remote options
- Professional development budget and learning opportunities
- Paid time off and parental leave
- Employee stock purchase plan
Locations
- Vancouver, BC, Canada
Salary
Estimated Salary Rangemedium confidence
140,000 - 200,000 CAD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch)intermediate
- Experience with data processing tools (Pandas, NumPy)intermediate
- Knowledge of version control (Git) and CI/CD pipelinesintermediate
- Strong problem-solving and communication skillsintermediate
- Familiarity with SQL and big data technologies (Spark, Hadoop)intermediate
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)
Preferred Qualifications
- Experience in the AEC (Architecture, Engineering, Construction) domain (experience)
- Familiarity with Autodesk products (e.g., AutoCAD, Revit) (experience)
- Contributions to open-source ML projects (experience)
- Knowledge of generative AI and large language models (experience)
Responsibilities
- Design and implement machine learning models for design automation
- Collaborate with product teams to integrate AI features into Autodesk software
- Optimize ML pipelines for performance and scalability
- Conduct research on emerging AI technologies and apply them to real-world problems
- Mentor junior engineers and contribute to team best practices
Benefits
- general: Comprehensive health and dental coverage
- general: Retirement savings plan with company matching
- general: Flexible work arrangements including remote options
- general: Professional development budget and learning opportunities
- general: Paid time off and parental leave
- general: Employee stock purchase plan
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