Principal ML Engineer – eCommerce & Personalization
Autodesk
Principal ML Engineer – eCommerce & Personalization
Job Description
Principal ML Engineer – eCommerce & Personalization
📋 Job Overview
The Principal ML Engineer role at Autodesk focuses on advancing eCommerce and personalization through machine learning innovations. The position involves leading the development of scalable ML models to enhance user experiences and drive business growth in a collaborative engineering environment. This senior role requires deep expertise in ML technologies and a passion for applying AI to real-world eCommerce challenges across multiple global locations.
📍 Location: 8 Locations, 8 Locations
📅 Posted: Posted 30+ Days Ago
🎯 Key Responsibilities
- Design and implement advanced ML models for eCommerce personalization
- Lead cross-functional teams to integrate ML solutions into Autodesk platforms
- Optimize model performance and scalability for global user bases
- Collaborate with product and engineering teams to define ML roadmaps
- Conduct research and experimentation to innovate in AI-driven personalization
✅ Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- 8+ years of experience in machine learning engineering
- Proven track record of deploying ML models in production environments
- Strong experience with eCommerce or personalization systems
⭐ Preferred Qualifications
- PhD in Machine Learning or related discipline
- Experience with large-scale data processing and recommendation systems
- Familiarity with Autodesk products or CAD software
- Contributions to open-source ML projects
🛠️ Required Skills
- Machine Learning frameworks (TensorFlow, PyTorch)
- Deep learning techniques for recommendation systems
- Python, Java, or Scala programming
- Big data technologies (Spark, Hadoop)
- Cloud platforms (AWS, Azure, GCP)
- SQL and data querying
- Soft skills: Leadership, collaboration, problem-solving
🎁 Benefits & Perks
- Comprehensive health, dental, and vision insurance
- 401(k) matching and retirement plans
- Flexible work arrangements and remote options
- Professional development stipend and tuition reimbursement
- Generous paid time off and parental leave
- Employee stock purchase plan and wellness programs
Locations
- 8 Locations, 8 Locations
Salary
Estimated Salary Rangemedium confidence
180,000 - 280,000 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 frameworks (TensorFlow, PyTorch)intermediate
- Deep learning techniques for recommendation systemsintermediate
- Python, Java, or Scala programmingintermediate
- Big data technologies (Spark, Hadoop)intermediate
- Cloud platforms (AWS, Azure, GCP)intermediate
- SQL and data queryingintermediate
- Soft skills: Leadership, collaboration, problem-solvingintermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, or related field (experience)
- 8+ years of experience in machine learning engineering (experience)
- Proven track record of deploying ML models in production environments (experience)
- Strong experience with eCommerce or personalization systems (experience)
Preferred Qualifications
- PhD in Machine Learning or related discipline (experience)
- Experience with large-scale data processing and recommendation systems (experience)
- Familiarity with Autodesk products or CAD software (experience)
- Contributions to open-source ML projects (experience)
Responsibilities
- Design and implement advanced ML models for eCommerce personalization
- Lead cross-functional teams to integrate ML solutions into Autodesk platforms
- Optimize model performance and scalability for global user bases
- Collaborate with product and engineering teams to define ML roadmaps
- Conduct research and experimentation to innovate in AI-driven personalization
Benefits
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement plans
- general: Flexible work arrangements and remote options
- general: Professional development stipend and tuition reimbursement
- general: Generous paid time off and parental leave
- general: Employee stock purchase plan and wellness programs
Tags & Categories
Answer 10 quick questions to check your fit for Principal ML Engineer – eCommerce & Personalization @ Autodesk.
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~2 Minutes
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Principal ML Engineer – eCommerce & Personalization
Autodesk
Principal ML Engineer – eCommerce & Personalization
Job Description
Principal ML Engineer – eCommerce & Personalization
📋 Job Overview
The Principal ML Engineer role at Autodesk focuses on advancing eCommerce and personalization through machine learning innovations. The position involves leading the development of scalable ML models to enhance user experiences and drive business growth in a collaborative engineering environment. This senior role requires deep expertise in ML technologies and a passion for applying AI to real-world eCommerce challenges across multiple global locations.
📍 Location: 8 Locations, 8 Locations
📅 Posted: Posted 30+ Days Ago
🎯 Key Responsibilities
- Design and implement advanced ML models for eCommerce personalization
- Lead cross-functional teams to integrate ML solutions into Autodesk platforms
- Optimize model performance and scalability for global user bases
- Collaborate with product and engineering teams to define ML roadmaps
- Conduct research and experimentation to innovate in AI-driven personalization
✅ Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- 8+ years of experience in machine learning engineering
- Proven track record of deploying ML models in production environments
- Strong experience with eCommerce or personalization systems
⭐ Preferred Qualifications
- PhD in Machine Learning or related discipline
- Experience with large-scale data processing and recommendation systems
- Familiarity with Autodesk products or CAD software
- Contributions to open-source ML projects
🛠️ Required Skills
- Machine Learning frameworks (TensorFlow, PyTorch)
- Deep learning techniques for recommendation systems
- Python, Java, or Scala programming
- Big data technologies (Spark, Hadoop)
- Cloud platforms (AWS, Azure, GCP)
- SQL and data querying
- Soft skills: Leadership, collaboration, problem-solving
🎁 Benefits & Perks
- Comprehensive health, dental, and vision insurance
- 401(k) matching and retirement plans
- Flexible work arrangements and remote options
- Professional development stipend and tuition reimbursement
- Generous paid time off and parental leave
- Employee stock purchase plan and wellness programs
Locations
- 8 Locations, 8 Locations
Salary
Estimated Salary Rangemedium confidence
180,000 - 280,000 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 frameworks (TensorFlow, PyTorch)intermediate
- Deep learning techniques for recommendation systemsintermediate
- Python, Java, or Scala programmingintermediate
- Big data technologies (Spark, Hadoop)intermediate
- Cloud platforms (AWS, Azure, GCP)intermediate
- SQL and data queryingintermediate
- Soft skills: Leadership, collaboration, problem-solvingintermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, or related field (experience)
- 8+ years of experience in machine learning engineering (experience)
- Proven track record of deploying ML models in production environments (experience)
- Strong experience with eCommerce or personalization systems (experience)
Preferred Qualifications
- PhD in Machine Learning or related discipline (experience)
- Experience with large-scale data processing and recommendation systems (experience)
- Familiarity with Autodesk products or CAD software (experience)
- Contributions to open-source ML projects (experience)
Responsibilities
- Design and implement advanced ML models for eCommerce personalization
- Lead cross-functional teams to integrate ML solutions into Autodesk platforms
- Optimize model performance and scalability for global user bases
- Collaborate with product and engineering teams to define ML roadmaps
- Conduct research and experimentation to innovate in AI-driven personalization
Benefits
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement plans
- general: Flexible work arrangements and remote options
- general: Professional development stipend and tuition reimbursement
- general: Generous paid time off and parental leave
- general: Employee stock purchase plan and wellness programs
Tags & Categories
Answer 10 quick questions to check your fit for Principal ML Engineer – eCommerce & Personalization @ Autodesk.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs