Principal ML Engineer, Machine Learning Platform and Systems Architecture
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Principal Machine Learning Engineer, ML Platform and Systems Architecture
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 looking for a Principal ML Engineer, ML Platform and Systems Architecture to lead the design and evolution of large-scale machine learning platforms. In this role, you will own high-impact technical initiatives that span ML infrastructure,data systems, model lifecycle tooling, and production architecture. You will work closely with researchers, product teams, andengineering leadership to build the systems that bring advanced machine learning into reliable, scalable product experiences.This is a senior technical leadership role for an engineer who excels at system architecture, distributed computing, and end-to-end platform thinking. You will help define the technical direction for ML systems and drive execution across ambiguous, cross-functional, high-value initiatives.This role is fully remote-friendly, with team members distributed across the US and Canada.
Location: US or Canada Remote
RESPONSIBILITIES
- Lead architecture and delivery for major ML platform capabilities across training, evaluation, deployment, and observability
- Design scalable systems for distributed training, data processing, feature and model lifecycle management, and production inference
- Own platform-level technical outcomes from design through deployment, operations, and continuous improvement
- Drive the design and scaling of data pipelines for large-scale structured and semi-structured technical datasets
- Lead architecture for distributed data processing and orchestration systems such as Ray, Airflow, Spark, or similar platforms
- Establish strong practices for data lineage, provenance, governance, and responsible data usage in ML systems
- Guide the design of model deployment, inference services, monitoring, and observability for production ML workloads
- Contribute to the development of ML-ready representations for geometry, graph, hierarchical, or multimodal data
- Clarify ambiguous problem spaces, define solution approaches, and lead execution across multiple engineers and teams
- Establish and improve engineering standards, operational practices, and architectural patterns for ML systems
- Lead incident response for critical platform issues and drive lasting improvements across system health and supportability
- Mentor engineers and act as a force multiplier through design leadership, coaching, and technical reviews
- Communicate technical strategy, tradeoffs, and execution plans clearly to technical and non-technical stakeholders
MINIMUM QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent industry experience
- Typically 6 to 8 years of industry experience in software engineering, ML infrastructure, distributed systems, or platform engineering, including experience leading design and delivery of complex technical systems
- Deep experience in software architecture, distributed systems, large-scale data platforms, or ML infrastructure
- Strong proficiency in Python and strong command of production software engineering practices
- Experience leading complex technical initiatives that span multiple engineers or cross-functional teams
- Strong experience with large-scale data pipelines, distributed data processing, and cloud-native platform architectures
- Experience with model deployment, inference systems, and production observability
- Demonstrated ability to make architecture decisions that balance performance, scalability, reliability, and cost
- Strong communication and stakeholder management skills
PREFERRED QUALIFICATIONS
- Experience building data governance, lineage, and provenance capabilities for ML platforms
- Experience building ML-ready representations for geometry, graph, hierarchical, or multimodal data
- Deep experience with distributed ML frameworks and large-scale training infrastructure
- Experience with Kubernetes, workflow orchestration systems, and modern ML platform tooling
- Experience with production incident leadership, service reviews, resiliency practices, and operational readiness
- Familiarity with AEC data, computational design workflows, BIM/CAD ecosystems, or Autodesk products
THE IDEAL CANDIDATE
- Is a strong architect and hands-on engineer
- Drives clarity and momentum in ambiguous spaces
- Thinks at platform level and acts with strong product and business awareness
- Raises the engineering bar for system design, quality, and operational excellence
- Builds trust through technical depth, calm judgment, and execution leadership
Learn More
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!
Benefits
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/
Salary transparency
Equal Employment Opportunity
At 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.
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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