Job Requisition ID #
Position Overview
We are transforming how utilities manage one of the world’s most precious resources: water.
Our AI-driven platform empowers water utilities to make smarter, real-time decisions for critical processes like demand forecasting and sewer overflows. By leveraging advanced machine learning and automation, we help utilities reduce costs, improve reliability, and minimize risks to public safety.
We’re also reimagining how the operational workforce of the 21st century interacts with critical infrastructure - building intelligent systems that shape the future.
We’re looking for impact-driven innovators passionate about applying machine learning and software engineering to solve real-world challenges.
As a Machine Learning Engineer, you will integrate and optimize AI solutions that enhance operational decision-making for billions of dollars in water infrastructure. You’ll work on mission-critical systems using cutting-edge cloud technologies and ML frameworks in an agile environment.
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
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
Experience with time-series forecasting, optimization algorithms, or reinforcement learning
Familiarity with distributed systems and containerization (Docker)
Knowledge of Model Context Protocol (MCP) for integrating AI systems
Practical experience with multi-tenant SaaS applications
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About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
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