Merantix
Principal Machine Learning Operations Developer for AI Research
Merantix, Boston, Massachusetts, us, 02298
Job Requisition ID #
25WD90720
Job Title: Principal
Machine Learning
Operations Developer for AI Research 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. As a MLOps Developers at Autodesk Research, you will be working side-by-side with world-class AI researchers to build and scale foundation models trained on design data. You will focus on overcoming the challenges associated with large-scale
model
training and processing of vast amounts of diverse design data. Your expertise in distributed systems, ML infrastructure, and data engineering will be crucial in developing the next generation of ML-powered product features that will help our customers imagine, design, and make a better world. You'll be joining a rapidly growing team working on a project that aims to revolutionize the design of nearly every aspect of the built environment. Your contributions will directly influence how designers, architects, and engineers interact with AI tools in the future. This role is fully remote-friendly. Our team operates primarily remotely with team members distributed across the globe, with offices in London, Boston, Toronto and other locations worldwide. At Autodesk, we embrace remote work while fostering connection through regular team offsites for collaborative planning and relationship building. This balanced approach ensures you can work where you're most productive while maintaining meaningful connections with colleagues. Responsibilities Support AI researchers by building scalable ML training pipelines and infrastructure for foundation
model
development
Design efficient data processing workflows for large-scale design datasets and industry-specific file formats
Optimize distributed training systems and develop solutions for
model
parallelism, checkpointing, and efficient resource management
Analyze performance bottlenecks and provide solutions to scaling problems
Implement and maintain robust, testable code that is well documented and easy to understand
Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
Present results to collaborators and leadership
Minimum Qualifications BSc or MSc in Computer Science or related field, or equivalent industry experience
Experience with distributed systems for
machine learning
and deep learning at scale
Strong knowledge of ML infrastructure and
model
parallelism techniques, including frameworks like
PyTorch
, Lightning, Megatron, DeepSpeed, and FSDPProficiency in Python and strong software engineering practices
Experience with cloud services and architectures (AWS, Azure, etc.)
Familiarity with version control, CI/CD, and deployment pipelines
Excellent written documentation skills to document code, architectures, and experiments
Preferred Qualifications Experience with AEC data formats (e.g., BIM models, IFC files, CAD files, Drawing Sets)
Knowledge of the AEC industry and its specific data processing challenges
Experience scaling ML training and data pipelines for large datasets
Experience with distributed data processing and ML infrastructure (e.g., Apache Spark, Ray, Docker, Kubernetes)
Experience with performance optimization, monitoring, and efficiency in large-scale ML systems
Experience with Autodesk or similar products (Revit, Sketchup, Forma)
The Ideal Candidate A self-starter who can solve problems with minimal supervision while collaborating effectively with a global, remote-first team
Adaptable and creative, comfortable building new infrastructure or working within existing codebases
Thrives in ambiguous, rapidly evolving areas where learning and flexibility are essential
Excellent communicator who can convey complex technical concepts clearly to diverse audiences
#LI-JK3 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! Salary transparency Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
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 Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).
#J-18808-Ljbffr
Job Title: Principal
Machine Learning
Operations Developer for AI Research 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. As a MLOps Developers at Autodesk Research, you will be working side-by-side with world-class AI researchers to build and scale foundation models trained on design data. You will focus on overcoming the challenges associated with large-scale
model
training and processing of vast amounts of diverse design data. Your expertise in distributed systems, ML infrastructure, and data engineering will be crucial in developing the next generation of ML-powered product features that will help our customers imagine, design, and make a better world. You'll be joining a rapidly growing team working on a project that aims to revolutionize the design of nearly every aspect of the built environment. Your contributions will directly influence how designers, architects, and engineers interact with AI tools in the future. This role is fully remote-friendly. Our team operates primarily remotely with team members distributed across the globe, with offices in London, Boston, Toronto and other locations worldwide. At Autodesk, we embrace remote work while fostering connection through regular team offsites for collaborative planning and relationship building. This balanced approach ensures you can work where you're most productive while maintaining meaningful connections with colleagues. Responsibilities Support AI researchers by building scalable ML training pipelines and infrastructure for foundation
model
development
Design efficient data processing workflows for large-scale design datasets and industry-specific file formats
Optimize distributed training systems and develop solutions for
model
parallelism, checkpointing, and efficient resource management
Analyze performance bottlenecks and provide solutions to scaling problems
Implement and maintain robust, testable code that is well documented and easy to understand
Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
Present results to collaborators and leadership
Minimum Qualifications BSc or MSc in Computer Science or related field, or equivalent industry experience
Experience with distributed systems for
machine learning
and deep learning at scale
Strong knowledge of ML infrastructure and
model
parallelism techniques, including frameworks like
PyTorch
, Lightning, Megatron, DeepSpeed, and FSDPProficiency in Python and strong software engineering practices
Experience with cloud services and architectures (AWS, Azure, etc.)
Familiarity with version control, CI/CD, and deployment pipelines
Excellent written documentation skills to document code, architectures, and experiments
Preferred Qualifications Experience with AEC data formats (e.g., BIM models, IFC files, CAD files, Drawing Sets)
Knowledge of the AEC industry and its specific data processing challenges
Experience scaling ML training and data pipelines for large datasets
Experience with distributed data processing and ML infrastructure (e.g., Apache Spark, Ray, Docker, Kubernetes)
Experience with performance optimization, monitoring, and efficiency in large-scale ML systems
Experience with Autodesk or similar products (Revit, Sketchup, Forma)
The Ideal Candidate A self-starter who can solve problems with minimal supervision while collaborating effectively with a global, remote-first team
Adaptable and creative, comfortable building new infrastructure or working within existing codebases
Thrives in ambiguous, rapidly evolving areas where learning and flexibility are essential
Excellent communicator who can convey complex technical concepts clearly to diverse audiences
#LI-JK3 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! Salary transparency Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
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 Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).
#J-18808-Ljbffr