At a Glance
- Tasks: Build scalable ML training pipelines and collaborate with AI researchers on innovative projects.
- Company: Join Autodesk, a leader in software that shapes the future of design and creativity.
- Benefits: Enjoy remote work flexibility, competitive salary, and a culture that values diversity and belonging.
- Why this job: Make a real impact on how designers and engineers use AI tools to create a better world.
- Qualifications: BSc/MSc in Computer Science or equivalent experience; strong skills in ML infrastructure and Python.
- Other info: Work with a global team and enjoy regular offsite events for collaboration and connection.
The predicted salary is between 43200 - 72000 £ per year.
Principal Machine Learning Operations Developer for AI Research page is loaded
Principal Machine Learning Operations Developer for AI Research
Apply locations London, GBR time type Full time posted on Posted 12 Days Ago job requisition id 25WD90720
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
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Support AI researchers by building scalable ML training pipelines and infrastructure for foundation model development
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Design efficient data processing workflows for large-scale design datasets and industry-specific file formats
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Optimize distributed training systems and develop solutions for model parallelism, checkpointing, and efficient resource management
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Analyze performance bottlenecks and provide solutions to scaling problems
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Implement and maintain robust, testable code that is well documented and easy to understand
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Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
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Present results to collaborators and leadership
Minimum Qualifications
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BSc or MSc in Computer Science or related field, or equivalent industry experience
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Experience with distributed systems for machine learning and deep learning at scale
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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
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Experience with cloud services and architectures (AWS, Azure, etc.)
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Familiarity with version control, CI/CD, and deployment pipelines
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Excellent written documentation skills to document code, architectures, and experiments
Preferred Qualifications
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Experience with AEC data formats (e.g., BIM models, IFC files, CAD files, Drawing Sets)
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Knowledge of the AEC industry and its specific data processing challenges
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Experience scaling ML training and data pipelines for large datasets
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Experience with distributed data processing and ML infrastructure (e.g., Apache Spark, Ray, Docker, Kubernetes)
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Experience with performance optimization, monitoring, and efficiency in large-scale ML systems
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Experience with Autodesk or similar products (Revit, Sketchup, Forma)
The Ideal Candidate
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A self-starter who can solve problems with minimal supervision while collaborating effectively with a global, remote-first team
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Adaptable and creative, comfortable building new infrastructure or working within existing codebases
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Thrives in ambiguous, rapidly evolving areas where learning and flexibility are essential
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Excellent communicator who can convey complex technical concepts clearly to diverse audiences
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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:
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
Shape the world, shape your future
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!
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Principal MLOps Machine Learning Operations Developer for AI Research employer: Autodesk, Inc.
Contact Detail:
Autodesk, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal MLOps Machine Learning Operations Developer for AI Research
✨Tip Number 1
Familiarise yourself with the specific tools and frameworks mentioned in the job description, such as PyTorch, Apache Spark, and Docker. Having hands-on experience or projects showcasing your skills with these technologies can set you apart during discussions.
✨Tip Number 2
Network with professionals in the MLOps and AI research fields. Attend relevant meetups or webinars to connect with people who work at Autodesk or similar companies. This can provide insights into the company culture and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with large-scale ML training and data pipelines. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will demonstrate your problem-solving abilities and technical expertise.
✨Tip Number 4
Showcase your adaptability and creativity by discussing any projects where you had to build new infrastructure or work within existing codebases. Highlighting your ability to thrive in ambiguous situations will resonate well with the team at Autodesk.
We think you need these skills to ace Principal MLOps Machine Learning Operations Developer for AI Research
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in MLOps, distributed systems, and ML infrastructure. Use keywords from the job description to demonstrate that you meet the qualifications.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI research and how your skills align with Autodesk's mission. Mention specific projects or experiences that showcase your ability to build scalable ML training pipelines.
Showcase Technical Skills: Clearly outline your proficiency in Python, cloud services, and any relevant frameworks like PyTorch or Apache Spark. Provide examples of how you've used these technologies in past projects.
Highlight Collaboration Experience: Since the role involves working with a global team, emphasise your experience in collaborative projects. Share examples of how you've effectively communicated complex technical concepts to diverse audiences.
How to prepare for a job interview at Autodesk, Inc.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with distributed systems and ML infrastructure. Highlight specific projects where you've implemented solutions for model parallelism or optimised training pipelines, as this will demonstrate your capability to handle the technical challenges of the role.
✨Understand the AEC Industry
Familiarise yourself with architecture, engineering, and construction (AEC) data formats and their specific challenges. Being able to speak knowledgeably about BIM models, CAD files, and other relevant formats will show that you understand the context in which Autodesk operates.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. Since you'll be collaborating with a diverse team, being able to convey your ideas clearly will be crucial. Prepare examples of how you've successfully communicated technical information to non-technical stakeholders.
✨Demonstrate Adaptability
The role requires someone who thrives in rapidly evolving environments. Share experiences where you've had to adapt quickly to new technologies or changing project requirements. This will illustrate your ability to navigate ambiguity and contribute effectively to the team.