At a Glance
- Tasks: Build ML pipelines and work with complex datasets on innovative projects.
- Company: Join Autodesk, a leader in tech innovation and creativity.
- Benefits: Enjoy a hybrid working model and a dynamic work environment.
- Other info: Fast-paced environment with opportunities for growth and collaboration.
- Why this job: Make an impact at the intersection of research and product development.
- Qualifications: 3+ years in machine learning and strong software skills required.
The predicted salary is between 60000 - 80000 £ per year.
Autodesk, Inc. is looking for a Machine Learning Engineer to collaborate on projects at the intersection of research and product. The role involves building ML pipelines and working with complex datasets.
The ideal candidate has over 3 years of machine learning experience, strong software skills, and proficiency with modern deep learning libraries.
This position offers a hybrid working model from the London office, contributing to innovative solutions in a fast-paced environment.
ML Engineer: 3D Geometry & Multi-Modal AI 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 ML Engineer: 3D Geometry & Multi-Modal AI
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Autodesk on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your ML projects, especially those involving 3D geometry or multi-modal AI. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common ML interview questions and coding challenges. We can even do mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to match the job description perfectly.
We think you need these skills to ace ML Engineer: 3D Geometry & Multi-Modal AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning and software skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your skills can contribute to our innovative projects. Let us know what makes you tick in the world of ML and AI.
Showcase Your Projects:If you’ve worked on any cool ML pipelines or complex datasets, make sure to mention them! We love seeing practical examples of your work, so include links to your GitHub or any relevant portfolios if you have them.
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 – just a few clicks and you’re done!
How to prepare for a job interview at Autodesk, Inc.
✨Know Your ML Fundamentals
Make sure you brush up on your machine learning fundamentals, especially around 3D geometry and multi-modal AI. Be prepared to discuss your past projects and how you've applied these concepts in real-world scenarios.
✨Showcase Your Software Skills
Since strong software skills are a must, be ready to demonstrate your coding abilities. Practice coding challenges related to ML pipelines and be familiar with modern deep learning libraries like TensorFlow or PyTorch.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your experience with complex datasets. Think about specific challenges you've faced and how you overcame them, as this will show your problem-solving skills.
✨Emphasise Collaboration
This role involves collaboration between research and product teams, so highlight your teamwork experiences. Share examples of how you've worked effectively with others to deliver innovative solutions in a fast-paced environment.
