Senior Machine Engineer, ML Systems and Infrastructure

Job Requisition ID #26WD98118Position OverviewThe 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 CoastResponsibilitiesDesign and build scalable systems for ML training, evaluation, deployment, and monitoringDevelop and improve data pipelines that process large-scale structured and semi-structured technical datasetsOptimize distributed workflows for performance, reliability, resource utilization, and cost efficiencyBuild platform capabilities such as experiment tracking, model versioning, checkpointing, reproducibility, and observabilityContribute to model deployment, inference services, and production monitoring workflowsImprove data quality, lineage, provenance, and operational transparency across ML pipelinesContribute to architecture and design discussions across the teamIdentify and resolve bottlenecks in data, compute, orchestration, and observability layersMentor engineers through code reviews, design guidance, and knowledge sharingCollaborate closely with researchers, product engineers, and platform partners to turn ML workflows into robust engineering systemsMinimum QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent industry experienceAt least 3 to 4 years of industry experience building and operating production software, ML systems, distributed infrastructure, or large-scale data pipelinesStrong experience in software engineering, distributed systems, backend systems, or ML infrastructureStrong proficiency in Python and experience delivering production-quality systemsExperience designing and operating scalable data or compute pipelinesExperience with cloud platforms such as AWS, Azure, or GCPFamiliarity with containers, CI/CD, observability, and release quality practicesAbility to independently drive technical execution on complex work with limited oversightPreferred QualificationsExperience building data pipelines for large-scale structured and semi-structured technical datasetsExperience with data lineage, provenance, governance, and responsible data usage in ML systemsExperience with distributed data processing and orchestration systems such as Ray, Airflow, Spark, or similar platformsExperience with model deployment, inference services, monitoring, and observability for production ML systemsExperience building ML-ready representations for geometry, graph, hierarchical, or multimodal dataExperience with distributed ML frameworks such as PyTorch, Lightning, DeepSpeed, FSDP, Megatron, or similarFamiliarity with AEC workflows, design data, BIM/CAD formats, or Autodesk productsTHE IDEAL CANDIDATEThinks like a systems engineer and executes like a strong software developerCan balance short-term delivery with long-term platform healthBrings strong technical judgment and ownershipImproves team effectiveness through mentoring and engineering rigorEnjoys solving scaling, performance, and reliability challengesAt Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.