At a Glance
- Tasks: Conduct cutting-edge research in machine learning and develop innovative solutions for real-world applications.
- Company: Join a leading tech firm at the forefront of AI research and development.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation and career advancement.
- Why this job: Make a significant impact in the AI field while working with top-tier researchers.
- Qualifications: PhD in CS/EE or relevant experience, with strong skills in ML frameworks and Python.
The predicted salary is between 63000 - 77000 £ per year.
Education and experience: PhD in CS/EE or related research experience in academia or industry. We will consider various levels of experience in relevant research areas.
Key Skills:
- Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.)
- Experience with deployment on embedded/mobile devices (such as smartphones, with mobile CPU, GPU, NPU)
- Experience with distributed and multi-GPU training at scale
- Fluency in Python, C/C++ and GNU Linux
- Proficiency in code version control, Git and GitHub
- Experience in working as a member of a team
- Solid publication record of papers in top-tier venues, such as NeurIPS/ICLR/ICML/MobiCom/MobiSys/ICCAD/MLSys
Any of the following skills will also be positively considered:
- Experience in real-world mobile system deployment
- Research experience in efficient Generative AI, including language, visual or multimodal tasks. This includes different aspects of the pipeline, from data and preprocessing to large model adaptation, fine-tuning and on-device optimization.
- Android operating system and Android app development
ML Research Scientist in Cambridge employer: All The Top Bananas
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StudySmarter Expert Advice🤫
We think this is how you could land ML Research Scientist in Cambridge
✨Get Involved in Data Science Meetups
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✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like ML Research Scientist at All The Top Bananas.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like All The Top Bananas.
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We think you need these skills to ace ML Research Scientist in Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at All The Top Bananas, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at All The Top Bananas. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at All The Top Bananas
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at All The Top Bananas!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
