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- Tasks: Collaborate on cutting-edge ML projects and implement generative AI features.
- Company: Join Autodesk, a leader in innovative technology and design.
- Benefits: Enjoy a competitive salary, flexible hybrid work, and growth opportunities.
- Other info: Fast-paced environment with a focus on collaboration and innovation.
- Why this job: Be at the forefront of AI technology 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 folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML and generative AI. This is your chance to demonstrate what you can do beyond just words on a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common interview questions and consider mock interviews to build confidence. We all know that practice makes perfect!
✨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 are proactive about their job search.
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 in 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 are easy to read. Use bullet points if necessary to make your key points stand out!
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 don’t miss any important updates from our team. Let’s get started on this exciting journey together!
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 this role emphasises collaboration, think of examples where you've worked closely with researchers or engineers. Highlight how you contributed to team projects and adapted to evolving requirements.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of generative AI and multimodal systems. Practise explaining complex concepts in simple terms, as you might need to communicate these ideas to non-technical stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about Autodesk's current projects and future directions in ML. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.