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- Tasks: Join a team to conduct cutting-edge AI research and develop innovative ML algorithms.
- Company: A leading tech company at the forefront of AI and machine learning innovation.
- Benefits: Enjoy hybrid work options, collaborative culture, and opportunities for continuous learning.
- Why this job: Make a real impact on next-gen consumer devices while working in a dynamic environment.
- Qualifications: PhD or equivalent experience in Computer Science or related fields; proficiency in ML frameworks required.
- Other info: Opportunity to publish research and contribute to patents in top-tier conferences.
The predicted salary is between 36000 - 60000 £ per year.
Location: Cambridge, UK (Hybrid: 2 days remote per week)
A major tech company is seeking a Research Scientist to join its AI research team in Cambridge. This role offers the opportunity to work at the forefront of AI and machine learning, contributing to research and commercialization efforts in areas such as on-device LLMs and VLMs, adaptive inference methods, and mobile ML systems.
Key Responsibilities:- Conduct cutting-edge research within the team’s focus areas and help shape future research directions.
- Develop innovative machine learning algorithms and systems that push the boundaries of current technology.
- Collaborate closely with cross-functional product teams and on-site researchers to integrate ML solutions into consumer devices.
- Translate research findings into practical applications, contributing to AI technologies used by millions of users.
- Document research, publish in top-tier conferences, and contribute to patent applications.
- Work in a highly collaborative environment that values continuous learning, innovation, and teamwork.
- PhD in Computer Science, Electrical Engineering, or a related field (or equivalent research experience in academia/industry).
- Proficiency in ML frameworks such as PyTorch, TensorFlow, or JAX.
- Experience in efficient ML techniques (e.g., quantization, pruning, distillation).
- Experience deploying ML models on embedded/mobile devices (smartphones, mobile CPUs/GPUs/NPUs).
- Knowledge of distributed and multi-GPU training at scale.
- Strong programming skills in Python, C/C++, and Linux.
- Familiarity with Git/GitHub for version control.
- A strong publication record in top AI/ML conferences (e.g., NeurIPS, ICLR, ICML, MobiCom, MobiSys, ICCAD, MLSys).
- Experience with real-world mobile system deployment.
- Research in efficient Generative AI (language, visual, or multimodal tasks).
- Hands-on experience with Android OS and Android app development.
This is a fantastic opportunity to work on groundbreaking AI research while seeing your work directly impact next-generation consumer devices. If you’re passionate about ML innovation and eager to contribute to state-of-the-art AI deployment, apply now!
Interested to know more? Apply here with your CV.
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Research Scientist - AI/ML - Mobile employer: European Tech Recruit
Contact Detail:
European Tech Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist - AI/ML - Mobile
✨Tip Number 1
Network with professionals in the AI/ML field, especially those who have experience in mobile systems. Attend relevant conferences or meetups to connect with potential colleagues and learn about the latest trends in research.
✨Tip Number 2
Showcase your hands-on experience with ML frameworks like PyTorch or TensorFlow by working on personal projects or contributing to open-source initiatives. This practical experience can set you apart during interviews.
✨Tip Number 3
Familiarise yourself with the latest advancements in efficient ML techniques such as quantization and pruning. Being able to discuss these topics intelligently can demonstrate your commitment to staying at the forefront of the field.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges that focus on Python and C/C++. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with problem-solving under pressure.
We think you need these skills to ace Research Scientist - AI/ML - Mobile
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI and machine learning. Emphasise your PhD or equivalent research experience, and showcase your proficiency in ML frameworks like PyTorch or TensorFlow.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are passionate about AI research and how your skills align with the company's goals. Mention specific projects or experiences that demonstrate your expertise in mobile ML systems.
Highlight Publications: If you have a strong publication record, make sure to include this in your application. List your top-tier conference papers and any patents you’ve contributed to, as this will strengthen your candidacy.
Showcase Collaboration Skills: Since the role involves working closely with cross-functional teams, highlight any previous collaborative projects. Discuss how you’ve successfully integrated ML solutions into products or worked with diverse teams in your application.
How to prepare for a job interview at European Tech Recruit
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail. Highlight any innovative machine learning algorithms you've developed and how they could relate to the company's focus areas, such as on-device LLMs or adaptive inference methods.
✨Demonstrate Technical Proficiency
Make sure you can confidently talk about your experience with ML frameworks like PyTorch or TensorFlow. Be ready to explain efficient ML techniques you've used, such as quantization or pruning, and how they apply to mobile ML systems.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with cross-functional teams, think of examples where you've successfully collaborated with others. Discuss how you integrated ML solutions into projects and the impact it had on the end product.
✨Discuss Your Publication Record
If you have a strong publication record, be sure to mention it. Talk about your contributions to top-tier conferences and how your research findings can translate into practical applications that benefit consumers.
