Autodesk

Technology

SeniorMachineEngineer,MLSystemsandInfrastructure

$175–250k ~AI est. United States; Canada FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Machine Engineer, ML Systems and Infrastructure at Autodesk. Skills: ML Systems, ML Infrastructure, Data Pipelines, Distributed Systems. Design and build scalable systems. Develop and improve data pipelines”

Industry & Context.

Technology
Problems you'll solve

Identify and resolve bottlenecks

What They're Looking For.

Must Have

Bachelor's or Master's degree, 3 to 4 years industry experience, Software engineering experience, Distributed systems experience, Backend systems experience, ML infrastructure experience, Scalable data pipelines experience, Proficiency in Python, Production-quality systems experience, Cloud platforms experience, Independent technical execution ability

Nice to Have

Experience building data pipelines, Experience with data lineage, Experience with distributed data processing, Experience with model deployment, Experience building ML-ready representations, Experience with distributed ML frameworks, Familiarity with AEC workflows, Familiarity with design data, Familiarity with BIM/CAD formats, Familiarity with Autodesk products

What You'll Do.

Design and build scalable systems

Develop and improve data pipelines

Optimize distributed workflows

Build platform capabilities

Contribute to model deployment

Contribute to architecture discussions

Identify and resolve bottlenecks

Collaborate with researchers

Collaborate with product engineers

Collaborate with platform partners

How You'll Work.

Team & Collaboration

Cross-functional teams; Researchers; Product engineers; Platform partners

Full Job Description

**Job Requisition ID #** 26WD98118 **POSITION OVERVIEW** The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter. 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. You will help build the infrastructure behind large-scale data pipelines, distributed training systems, evaluation frameworks, and production ML workflows that support foundation models and ML-powered product features. This role is ideal for an engineer who is deeply interested in scalable systems and production-grade ML infrastructure. You will operate independently across multiple parts of the stack and help define strong engineering practices for reliability, performance, and maintainability. This role is fully remote-friendly, with team members distributed across the US and Canada. **Location:** US or Canada Remote, East Coast **RESPONSIBILITIES** * Design 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 * Optimize distributed workflows for performance, reliability, resource utilization, and cost efficiency * Build platform capabilities such as experiment tracking, model versioning, checkpointing, reproducibility, and observability * Contribute to model deployment, inference services, and production monitoring workflows * Improve data quality, lineage, provenance, and operational transparency across ML pipelines * Contribute to architecture and design discussions across the team * Identify and resolve bottlenecks in data, compute, orchestration, and observability layers * Mentor engineers through code reviews, design guidance, and knowled

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