At a Glance
- Tasks: Collaborate on innovative ML projects and build cutting-edge AI features.
- Company: Join Autodesk, a leader in creative software solutions.
- Benefits: Competitive salary, bonuses, stock options, and comprehensive benefits.
- Other info: Dynamic hybrid work environment with opportunities for growth and collaboration.
- Why this job: Make a real impact in the world of design and technology.
- Qualifications: 3+ years in machine learning and strong software engineering skills required.
The predicted salary is between 60000 - 80000 £ per year.
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.
As a Machine Learning Engineer at Autodesk Research, you will work side-by-side with researchers and engineers to build and enable ML-powered capabilities in Autodesk products. You are an ML engineer with strong software engineering skills who is passionate about solving problems and building things, and excited to collaborate with AI researchers to implement generative AI features. You will operate in a fast-moving, research-driven environment where problems are often not fully defined, requiring strong problem framing and rapid iteration. The team works in a hybrid working model from our offices in London.
Responsibilities- Collaborate on projects at the intersection of research and product with a diverse, global team
- Build and iterate on ML pipelines, prototypes, and evaluation workflows, enabling rapid deployment and testing of experimental models
- Work with complex datasets and representations for model training, evaluation, and analysis
- Analyze errors and provide solutions to problems
- Present results to collaborators and leadership
- BSc or MSc in Computer Science, or equivalent industry experience
- 3+ years of machine learning experience
- Experience working in research or experimental environments with evolving requirements
- Proficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace)
- Experience with computational geometry and 3D data (e.g., meshes, B-Rep models)
- Experience working with diverse data representations, including 2D and 3D geometry
- Experience with version control, reproducibility, and deploying machine learning models
- Experience using modern AI/GenAI tools in development or experimentation workflows
- Excellent written documentation skills
- Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or related field
- Experience scaling machine learning training and data pipelines (e.g., using Ray or similar frameworks)
- Experience with cloud services and architectures (e.g. AWS, Azure)
- Experience with LLMs or generative AI systems (fine-tuning, prompting, evaluation)
- Knowledge of the design, manufacturing, AEC, or media & entertainment industries
- Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)
Machine Learning Engineer 3D Geometry/ Multi-Modal employer: Autodesk, Inc.
Autodesk, Inc. is an excellent employer that fosters a collaborative and supportive work culture in the heart of Greater London. Employees benefit from mentorship opportunities and a focus on professional growth, making it an ideal environment for those looking to advance their careers while contributing to customer success in subscription renewals. With a commitment to innovation and teamwork, Autodesk offers a rewarding experience for individuals passionate about account management and customer relations.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer 3D Geometry/ Multi-Modal
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with Autodesk employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving 3D geometry or multi-modal data. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you’ve tackled complex datasets and built ML pipelines. Practice explaining your thought process clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Autodesk team.
We think you need these skills to ace Machine Learning Engineer 3D Geometry/ Multi-Modal
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with ML pipelines, 3D geometry, and any relevant projects. We want to see how your skills align with what we do at Autodesk!
Showcase Your Projects:Include links to your GitHub or any projects that demonstrate your machine learning expertise. We love seeing practical applications of your skills, especially if they involve generative AI or complex datasets.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're excited about this role and how you can contribute to our team. Be genuine and let your passion for machine learning and collaboration shine through!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Autodesk, Inc.
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially around 3D geometry and multi-modal data. Be ready to discuss your experience with deep learning libraries like PyTorch and HuggingFace, as well as any projects you've worked on that involved complex datasets.
✨Show Your Problem-Solving Skills
Since the role involves working in a fast-paced, research-driven environment, be prepared to demonstrate how you approach problem framing and rapid iteration. Think of examples where you've tackled undefined problems and how you iterated on solutions.
✨Collaborate and Communicate
This position requires collaboration with a diverse team, so highlight your teamwork skills. Prepare to discuss how you've worked with others in previous roles, especially in experimental settings, and be ready to present your results clearly and effectively.
✨Familiarise Yourself with Autodesk
Take some time to understand Autodesk's products and their impact on various industries. Knowing how your role as a Machine Learning Engineer fits into their mission will show your genuine interest and help you connect your skills to their needs.
