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For Companies At a Glance
- 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.
- Why this job: Make an impact in cutting-edge AI and video technology.
- Qualifications: Experience in deep learning, Python, and model optimisation required.
- Other info: Dynamic team with excellent career growth and learning opportunities.
The predicted salary is between 36000 - 60000 £ 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.
As a leader in wireless technology, our engineers have designed and developed a wide range of innovations that are used in wireless products and networks, from the earliest digital cellular systems to 5G and today's most advanced Wi-Fi technologies. We are also a leader in video processing and video encoding/decoding technology, with a significant AI research effort that intersects with both wireless and video technologies. Founded in 1972, InterDigital is listed on Nasdaq.
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, Inc.
Contact Detail:
INTERDIGITAL, Inc. 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. Share it on GitHub or your personal website, and make sure to link it in your applications. This gives us a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges related to deep learning and model optimisation. We love seeing candidates who can think on their feet and tackle real-world problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Tailor your CV and cover letter to highlight your experience with AI and video technologies. Let’s make sure you stand out from the crowd!
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, model optimization, 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 team at InterDigital. We love seeing enthusiasm and creativity!
Showcase Your Projects: If you've got any projects or contributions to open-source that demonstrate your skills in PyTorch or machine learning, make sure to include them. We appreciate hands-on experience and want to see what you've built and optimised!
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 you're serious about joining our team at InterDigital!
How to prepare for a job interview at INTERDIGITAL, Inc.
✨Know Your Models Inside Out
Make sure you can discuss your experience with deep learning models in detail. Be prepared to explain how you've optimised and deployed models using PyTorch, including any specific workflows like Torch Export or ONNX. This shows you not only understand the theory but also have practical skills.
✨Showcase Your Software Skills
Since strong software engineering skills are crucial for this role, be ready to talk about your experience building robust ML codebases. Bring examples of projects where you've used Python, and if you have experience with C++ or other systems languages, mention that too!
✨Stay Current with Trends
InterDigital values innovation, so demonstrate your knowledge of the latest advancements in machine learning and video coding. Discuss any recent research or technologies that excite you and how they could apply to the role. This shows you're proactive and passionate about your field.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of model optimisation and GPU-based training. Brush up on performance profiling techniques and be ready to solve problems on the spot. Practising with mock interviews can help you feel more confident when tackling these challenges.
