Software Developer
This Software Developer role in Computer Science is focused on supporting build the infrastructure behind large-scale data pipelines, distributed training systems, evaluation frameworks, and production ML workflows that support foundation mode. It would suit someone who can bring thinks like a systems engineer and executes like a strong software developer to the role.
What the work leans on
26WD98118POSITION OVERVIEW. Autodesk is seeking a Senior ML Engineer, ML Systems and Infrastructure to design and scale the systems that enable machine learning across research and product development.
Technical work involved
- Help build the infrastructure behind large-scale data pipelines, distributed training systems, evaluation frameworks, and production ML workflows that support foundation models and.
- Build scalable systems for ML training, evaluation, deployment, and monitoring.
- Develop and improve data pipelines that process large-scale structured and semi-structured technical datasets.
Technical skills and experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent industry experience.
- At least 3 to 4 years of industry experience building and operating production software, ML systems, distributed infrastructure, or large-scale data pipelines.
- Strong proficiency in Python and experience delivering production-quality systems.
What helps in this technical setting
Thinks like a systems engineer and executes like a strong software developer. Can balance short-term delivery with long-term platform health. Brings strong technical judgment and ownership.
Practical details
- Friendly, with team members distributed across the US and Canada.
- US or Canada Remote, East Coast.
- Work model: Remote.
- Additional detail: Training or development support may be provided.
Job details
- Benefits mentioned: Training
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