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- Tasks: Research, design, and optimise AI-driven video compression models.
- Company: Join InterDigital, a leader in wireless and AI technologies.
- Benefits: Competitive salary, inclusive culture, and opportunities for innovation.
- Other info: Collaborative environment with excellent career growth potential.
- Why this job: Make an impact in cutting-edge AI and video technology.
- Qualifications: Experience in deep learning, model optimisation, and strong Python skills.
The predicted salary is between 60000 - 80000 £ per year.
About InterDigital: InterDigital is a global research and development company focused primarily on wireless, video, artificial intelligence (AI), and related technologies. We design and develop foundational technologies that enable connected, immersive experiences in a broad range of communications and entertainment products and services. We license our innovations worldwide to companies providing such products and services, including makers of wireless communications devices, consumer electronics, IoT devices, cars and other motor vehicles, and providers of cloud-based services such as video streaming.
The Team: The Research & Innovation (R&I) team at InterDigital includes more than 250 researchers and engineers with world-class expertise in AI, wireless communications, and visual technologies. Our culture values technology expertise and an entrepreneurial mindset. Within R&I, the London Video Team is leading efforts in machine learning and deep learning to build the next generation of AI driven video compression models. We are seeking a machine learning engineer who will work to research, design, implement and optimize these models for efficient deployment.
Key Qualifications:
- Excellent understanding and experience in deep learning model development, optimization and deployment (PyTorch, Torch compile, export workflows such as Torch Export and ONNX, performance profiling)
- Strong software engineering skills and experience building robust ML codebases
- Expert in Python, with additional experience in C++ or another systems language a plus
- Experience with GPU based training and inference, and familiarity with performance optimization for accelerators
- Experience building production grade ML systems or research prototypes that have been used by others
- Publications, patents, or significant open-source contributions in relevant areas are a plus
- 3+ years of relevant experience in machine learning, deep learning, or closely related fields
- Bachelor or Master (PhD a plus) in Machine Learning, Computer Science, or a related field
Responsibilities:
- Work with InterDigital researchers and engineers in the London Video Team and across R&I to understand requirements and provide ML-based technical solutions for video compression and video coding
- Research, prototype and evaluate novel neural architectures for AI-based video compression and next generation video coding models
- Produce high quality research outputs and patentable innovations in AI-based video compression and video coding, working closely with internal IP teams to capture and protect novel ideas
- Own model optimization and compilation workflows, including PyTorch compile, export and integration into downstream systems
- Design, implement and maintain training, evaluation and benchmarking pipelines for video compression models, including metrics and datasets
- Work on proof-of-concept projects with various teams and incorporate successful approaches into larger platforms and demonstrators
- Stay current with advances in machine learning, deep learning and video coding research and help bring relevant ideas into InterDigital projects
- Represent the company, promote and defend proposals from the company
Location: London, UK
InterDigital is an equal employment opportunity employer. InterDigital will not engage in or tolerate unlawful discrimination with regard to any employment decision, policy or practice based on a person’s sex, gender, pregnancy (including childbirth, breastfeeding and related medical conditions), age, race, color, religion, creed, national origin, ancestry, citizenship, military status, veteran status, mental or physical disability, medical condition, genetic information, sexual orientation, gender identity or expression, or any other factor protected by applicable federal, state or local law. This policy applies to all terms and conditions of employment, including, but not limited to, recruiting, hiring, compensation, benefits, training, assignments, evaluations, coaching, promotion, discipline, discharge and layoff.
Machine Learning Engineer in London employer: InterDigital
Contact Detail:
InterDigital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at InterDigital. LinkedIn is your best mate here—send personalised connection requests and engage with their posts. You never know who might give you a heads-up about job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving PyTorch and video compression. This will not only impress recruiters but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your deep learning knowledge and coding skills. Practice common ML problems and be ready to explain your thought process. We recommend using platforms like LeetCode or HackerRank to sharpen your skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at InterDigital. Don’t forget to tailor your application to highlight your experience with model optimisation and AI-driven solutions!
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with deep learning models, especially in PyTorch, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and video compression. Share specific examples of your work and how it relates to our projects at InterDigital. Let us know why you’re the perfect fit!
Showcase Your Projects: If you've got any publications, patents, or significant open-source contributions, make sure to include them! We love seeing real-world applications of your skills. It shows us that you’re not just about theory but also about practical solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re proactive and really interested in joining our team!
How to prepare for a job interview at InterDigital
✨Know Your Stuff
Make sure you brush up on your deep learning model development and optimisation skills, especially in PyTorch. Be ready to discuss your experience with model compilation and export workflows like Torch Export and ONNX, as well as any performance profiling you've done.
✨Show Off Your Projects
Prepare to talk about any production-grade ML systems or research prototypes you've built. If you have publications, patents, or significant open-source contributions, make sure to highlight these during the interview. They show your commitment and expertise in the field!
✨Understand the Company’s Focus
Familiarise yourself with InterDigital's work in AI-based video compression and coding. Knowing their recent projects and innovations will help you align your answers with their goals and demonstrate your genuine interest in the role.
✨Ask Smart Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and future directions in machine learning at InterDigital. This not only shows your enthusiasm but also helps you gauge if the company culture is a good fit for you.