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Senior Machine Learning Engineer - Job Opportunity at Autodesk

San Francisco, United States
Full-time
Senior
Posted: March 10, 2025
Hybrid
USD 119,800 - 206,690 per year

Benefits

Comprehensive health coverage aligned with top tech industry standards
Competitive financial benefits including stock grants
Flexible time-off policy promoting work-life balance
Wellness programs supporting employee wellbeing
Industry-leading retirement benefits

Key Responsibilities

Lead development and deployment of production-grade machine learning models
Architect and implement scalable AI solutions using big data
Drive technical innovation in customer experience through ML applications
Own end-to-end ML pipeline including testing, deployment, and monitoring
Manage model performance optimization and retraining processes
Lead cross-functional collaboration and stakeholder communication

Requirements

Education

Bachelor's or master's degree in computer science, a related technical field, or equivalent practical experience

Experience

3+ years

Required Skills

Machine learning design, development and deployment Data mining Information retrieval Natural language processing Cloud services (AWS) API development (REST) Java Python Agile development Distributed team collaboration Incident response management
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Sauge AI Market Intelligence

Industry Trends

Increasing focus on MLOps and automated deployment pipelines in enterprise ML Growing demand for end-to-end ML engineers who can bridge research and production Shift towards real-time model monitoring and performance optimization Rising importance of scalable AI solutions in enterprise software

Salary Evaluation

The offered salary range aligns with market rates for senior ML engineers in San Francisco, though slightly below FAANG compensation packages. Total compensation including stock grants makes it competitive.

Role Significance

Typically leads a team of 3-5 ML engineers within larger engineering organization of 50+ people
Senior position with significant technical leadership and strategic input on ML infrastructure and implementation

Key Projects

Enterprise-scale ML model deployment Customer experience personalization systems Automated MLOps pipeline development Real-time recommendation engines

Success Factors

Strong balance of theoretical ML knowledge and practical engineering skills Ability to translate complex ML concepts into business value Experience with large-scale production ML systems Leadership in driving technical excellence and best practices

Market Demand

Very high demand with projected 35% growth in next 3 years for ML engineers who can handle both development and deployment

Important Skills

Critical Skills

Production ML deployment experience - essential for maintaining enterprise-grade ML systems Cloud infrastructure expertise - crucial for scalable ML solutions Strong software engineering fundamentals - required for production-quality implementation

Beneficial Skills

Experience with CAD or engineering software Knowledge of distributed systems Familiarity with GPU acceleration and optimization

Unique Aspects

Unified research and implementation role unusual in enterprise ML
Direct impact on core product development
Exposure to diverse engineering challenges across Autodesk's product suite

Career Growth

2-3 years in role before advancement, depending on impact and organizational growth

Potential Next Roles

Principal Machine Learning Engineer ML Architecture Lead Technical Director - AI/ML Head of Machine Learning

Company Overview

Autodesk

Autodesk is a global leader in design and engineering software, with a strong focus on innovation in AI/ML applications

Leading position in CAD and engineering software market with significant investment in AI capabilities
Major presence in San Francisco tech ecosystem with global reach
Innovation-focused environment with emphasis on technical excellence and product impact
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