At a Glance
- Tasks: Research, design, and optimise machine learning models for video compression.
- Company: Join InterDigital Europe, a leader in innovative AI solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborate with a dynamic team in a fast-paced environment.
- Why this job: Be at the forefront of video coding technology and make a real impact.
- Qualifications: Expertise in Python, GPU systems, and deep learning frameworks like PyTorch.
The predicted salary is between 60000 - 80000 £ per year.
InterDigital Europe, Ltd. is seeking a skilled machine learning engineer to research, design, implement, and optimize models for video compression. The ideal candidate has deep expertise in model optimization and software engineering, and a strong background in developing and deploying deep learning models using frameworks like PyTorch.
This dynamic role involves working with the London Video Team on innovative AI-based technical solutions, high-quality research outputs, and advancing video coding technology. Exceptional qualifications include proficiency in Python and GPU-based systems, along with a solid educational foundation in Machine Learning or Computer Science.
ML Engineer: Video Coding & Deployment Optimization in London employer: InterDigital Europe, Ltd.
InterDigital Europe, Ltd. is an exceptional employer that fosters a collaborative and innovative work culture, particularly within the vibrant tech hub of London. Employees benefit from continuous professional development opportunities, access to cutting-edge technology, and the chance to contribute to groundbreaking advancements in video coding and AI solutions. With a focus on employee well-being and a commitment to pushing the boundaries of technology, InterDigital offers a rewarding environment for those looking to make a meaningful impact in their field.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer: Video Coding & Deployment Optimization in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at InterDigital. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in video coding and model optimisation. This is your chance to shine beyond the written application.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and deep learning frameworks like PyTorch. We want you to feel confident when discussing your expertise!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace ML Engineer: Video Coding & Deployment Optimization in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with model optimization and software engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in frameworks like PyTorch!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about video coding technology and how your background in Machine Learning or Computer Science makes you a perfect fit for our team.
Showcase Your Projects:If you've worked on any relevant projects, especially those involving deep learning models or GPU-based systems, make sure to mention them. We love seeing practical applications of your skills!
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 this exciting opportunity with the London Video Team!
How to prepare for a job interview at InterDigital Europe, Ltd.
✨Know Your Stuff
Make sure you brush up on your knowledge of video compression and machine learning models. Be ready to discuss specific projects you've worked on, especially those involving PyTorch and model optimisation. This shows you're not just familiar with the theory but have practical experience too.
✨Showcase Your Coding Skills
Since proficiency in Python is key for this role, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your approach to coding challenges. Practising common algorithms and data structures can really help you shine.
✨Understand the Team's Work
Research the London Video Team and their recent projects. Knowing what they’re working on will allow you to tailor your answers and show genuine interest in their work. It also gives you a chance to ask insightful questions about their current challenges and how you could contribute.
✨Prepare for Technical Questions
Expect technical questions related to deep learning, GPU-based systems, and model deployment. Brush up on the latest trends in AI and video coding technology. Being able to discuss these topics confidently will demonstrate your expertise and enthusiasm for the field.
