Machine Learning Engineer developing consumer - facing AI features powered by LLMs at Quora. Collaborating with engineers and optimizing production AI systems for enhanced user engagement.
About the role
- ML Engineer focusing on building and operating large-scale machine learning systems at Autodesk. Collaborating with AI researchers and software engineers to create reliable ML infrastructure.
Responsibilities
- Build and maintain components of ML pipelines for data preparation, model training, evaluation, deployment, and monitoring
- Develop reliable software and infrastructure that supports scalable machine learning workflows
- Contribute to distributed data processing and training systems used by researchers and engineering teams
- Support data ingestion, transformation, validation, and serving for large-scale structured and semi-structured technical datasets
- Improve automation, testing, CI/CD, observability, and operational reliability for ML systems
- Troubleshoot data, infrastructure, and performance issues in collaboration with senior engineers
- Participate in design discussions and contribute ideas that improve system scalability, maintainability, and efficiency
- Document technical decisions, workflows, and operational processes clearly
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent industry experience
- At least 2 years of industry experience in software engineering, machine learning infrastructure, distributed systems, data platforms, or related areas
- Strong software engineering fundamentals, including coding, testing, debugging, and code quality
- Proficiency in Python and experience building production-quality software
- Experience with cloud platforms such as AWS, Azure, or GCP
- Familiarity with containers, version control, CI/CD, and modern development workflows
- Experience working with data-intensive systems, backend systems, or ML pipelines
- Ability to work independently on well-defined problems with moderate ambiguity
Benefits
- Annual cash bonuses
- Commissions for sales roles
- Stock grants
- Comprehensive benefits package
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