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- Tasks: Collaborate on innovative ML projects and implement generative AI features.
- Company: Join Autodesk, a leader in cutting-edge technology and creativity.
- Benefits: Enjoy a competitive salary, flexible hybrid work, and growth opportunities.
- Other info: Fast-paced environment with a focus on collaboration and creativity.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: 3+ years in machine learning and proficiency in deep learning frameworks.
The predicted salary is between 60000 - 80000 £ per year.
Autodesk is seeking a Machine Learning Engineer based in London to work closely with researchers and engineers in building ML-powered capabilities. The role requires 3+ years in machine learning, proficiency in deep learning frameworks like PyTorch, and strong software engineering skills. This position emphasizes collaboration on cutting-edge projects in a fast-paced, hybrid environment. Ideal candidates will have experience with evolving requirements and be excited to implement generative AI features.
Hybrid London ML Engineer — 3D/Multimodal & Generative AI employer: Autodesk
Contact Detail:
Autodesk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid London ML Engineer — 3D/Multimodal & Generative AI
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Autodesk or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML, deep learning, and generative AI. This is your chance to demonstrate what you can bring to the table beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as collaboration is key in this role. We want to see how you think and communicate!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Hybrid London ML Engineer — 3D/Multimodal & Generative AI
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning and deep learning frameworks like PyTorch. We want to see how your skills align with the role, so don’t hold back on showcasing your projects and achievements!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your experience with generative AI and how you’ve tackled evolving requirements in past projects. This helps us see why you’re the perfect fit for our team!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to understand your background and what you bring to the table.
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
✨Know Your ML Fundamentals
Make sure you brush up on your machine learning fundamentals, especially around deep learning frameworks like PyTorch. Be ready to discuss your past projects and how you've applied these concepts in real-world scenarios.
✨Showcase Your Collaboration Skills
Since the role emphasises collaboration, prepare examples of how you've worked with researchers or engineers in the past. Highlight your ability to adapt to evolving requirements and how you’ve contributed to team success.
✨Stay Current with Generative AI Trends
Familiarise yourself with the latest trends in generative AI. Be prepared to discuss how you would implement these features in Autodesk's projects, showcasing your enthusiasm for cutting-edge technology.
✨Prepare for Technical Questions
Expect technical questions that test your software engineering skills. Practice coding problems and be ready to explain your thought process clearly. This will demonstrate your problem-solving abilities and technical expertise.