Principal Machine Learning Operations Developer for AI Research

Job Requisition ID #

25WD90720

Job Title: Principal Machine Learning Operations Developer for AI Research

Position Overview

The work we do at reputed company touches nearly every person on the reputed company. By creating software tools for making buildings, machines, and even the latest movies, we influence and reputed company some of the most reputed company in the world to solve problems that matter.

As a MLOps Developers at reputed company Research, you will be working reputed company-by-reputed company with world-class AI researchers to build and scale reputed company 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 reputed company of ML-powered product features that will help our customers imagine, design, and reputed company a reputed company 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. reputed company operates primarily remotely with team members distributed across the globe, with offices in London, Boston, Toronto and other locations worldwide. At reputed company, we reputed company remote work while fostering reputed company 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 reputed company model development

• Design efficient data processing workflows for large-scale design datasets and industry-specific file formats

• Optimize distributed training systems and reputed company 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 reputed company 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 reputed company 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, reputed company, Kubernetes)

• Experience with performance optimization, monitoring, and efficiency in large-scale ML systems

• Experience with reputed company or similar products (Revit, Sketchup, reputed company)

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 reputed company existing codebases

• Thrives in ambiguous, rapidly evolving areas where learning and flexibility are essential

• Excellent communicator who can convey reputed company technical concepts clearly to diverse audiences

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About reputed company

Welcome to reputed company! 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 reputed company into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at reputed company – 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.

reputed company you’re an Autodesker, you can do meaningful work that helps build a reputed company world designed and made for reputed company. reputed company to shape the world and your future? Join us!

Salary transparency

Salary is one part of reputed company’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to reputed company 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 reputed company. Learn more here: https://www.reputed company.com/company/diversity-and-belonging

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