Senior Machine Learning Engineer

2 days ago

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Autodesk

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Architecture • Engineering • Media

Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.

10,000+ employees

Founded 1982

📱 Media

📋 Description

• Implement, integrate, and optimize AI models for predictive analytics, operational decision-making, and anomaly detection within production systems • Build scalable, cloud-based ML pipelines and APIs using Python, FastAPI, and AWS services (e.g., SageMaker, Lambda) • Collaborate on the end-to-end ML lifecycle: data ingestion, feature engineering, model evaluation, and deployment • Work with large, complex datasets (including time-series and sensor data) to extract actionable insights • Ensure seamless integration of AI components into our SaaS platform with high reliability and performance • Design and implement agentic workflows that enable autonomous decision-making and orchestration of AI-driven tasks • Contribute to backend architecture, algorithm design, and software engineering best practices • Implement robust testing strategies (unit, integration, performance) and CI/CD pipelines for production-grade systems • Stay ahead of emerging ML technologies and contribute to open-source projects

🎯 Requirements

• Bachelor’s degree or Master's degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience) • 3-5+ years of experience in machine learning and software development for production systems • Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) • Experience with cloud-based ML services (AWS SageMaker preferred) • Solid understanding of data structures, algorithms, and software design principles • Familiarity with SQL/NoSQL databases and handling large-scale datasets • Experience building and deploying APIs and microservices • Knowledge of CI/CD pipelines and version control (Git) • Excellent communication and collaboration skills

🏖️ Benefits

• Annual cash bonuses • Stock grants • Comprehensive benefits package