At a Glance
- Tasks: Conduct innovative research in Computer Vision and Machine Learning, focusing on Vision and Language.
- Company: Join Samsung AI Centre Cambridge, a leader in Human-Centric AI research.
- Benefits: Enjoy a competitive salary, hybrid working, and a vibrant research environment.
- Other info: Collaborate with top researchers and publish at prestigious conferences.
- Why this job: Make a real impact by transferring research into products that reach millions.
- Qualifications: Research experience in Computer Vision or Machine Learning and familiarity with Deep Learning frameworks.
The predicted salary is between 63000 - 77000 £ per year.
Position Summary
Samsung AI Centre Cambridge was established in 2018 and it is an ambitious independent research centre targeting "Human-Centric AI" to enrich peoples' lives using AI technologies.
We are seeking full-time, permanent Researchers in Computer Vision and Deep Learning to join the Future Interaction program.
As a Researcher, your main task will be to develop breakthrough technologies in the area of Vision and Language.
You are expected to conduct high-impact research targeting the top Computer Vision and Machine Learning venues, and to focus on solutions to key technical challenges of particular interest by Samsung.
While the target is mid- to long-term research, upon maturity of the research, the team is expected to transfer the technology to product divisions and their Engineering teams, which will then be in charge of driving the commercialization.
Role and Responsibilities
We have 1 position open in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language.
The positions are part of the Future Interaction Research Programme.
Our topics of interest include but are not limited to
- Contrastively-trained and auto-regressive Vision & Language (e. g. CLIP, BLIP).
- Visual LLMs (e. g. LLa VA).
- Generative Models (e. g. Stable Diffusion and Auto-Regressive models).
- Efficient Architectures.
- Model Compression (distillation, quantization).
- Efficient Adaptation of Large Models.
Key Responsibilities
- Conduct hands-on innovative research, including methodological conceptualization and implementation.
- Publishing at top venues: CVPR, ECCV, ICCV, ICLR, Neur IPS, ICML, EMNLP, ACL, TPAMI and IJCV.
- Contribute to the research agenda and directions within the center.
- Interact with product and engineering teams for the purpose of technology transfer.
Skills and Qualifications
Key Skills Required
- Research experience in the fields of Computer Vision and/or Machine Learning.
- Familiarity with fast prototyping Deep Learning frameworks such as Py Torch.
- A track record of publishing at top-tier venues (e. g. CVPR, ECCV, ICCV, ICLR, Neur IPS, EMNLP, ACL, ICML, TPAMI and IJCV).
- Ability to communicate well and to collaborate with other group members.
- Experience in the topics described above, or closely related topics, is a plus but not necessary.
What we offer
- An excellent research environment: autonomy to define a research agenda along the centre's core lines, opportunities to collaborate with excellent researchers and to publish at top conferences.
- Opportunity to transfer research into impact, and get your work reach millions of customers.
- A top-tier package, on par with the top companies in the industry in Europe.
- An excellent location at the heart of Cambridge, and at commute's distance from London.
- Hybrid working with 3 days onsite and 2 days working from home weekly
Samsung has a strict policy on trade secrets.
In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a previous employer.
- Please visit Samsung membership to see Privacy Policy, which defaults according to your location, at:
. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here :
#J-18808-Ljbffr
Researcher/Senior Researcher in Computer Vision and Machine Learning in London employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Researcher/Senior Researcher in Computer Vision and Machine Learning in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like PVH (Tommy Hilfiger/Calvin Klein)!
✨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 Researcher/Senior Researcher in Computer Vision and Machine Learning at PVH (Tommy Hilfiger/Calvin Klein).
✨Leverage Professional Networks
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 PVH (Tommy Hilfiger/Calvin Klein).
✨Apply Directly through Our Website
When you find a suitable opening like Researcher/Senior Researcher in Computer Vision and Machine Learning at PVH (Tommy Hilfiger/Calvin Klein), make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Researcher/Senior Researcher in Computer Vision and Machine Learning in London
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 PVH (Tommy Hilfiger/Calvin Klein), 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 PVH (Tommy Hilfiger/Calvin Klein). 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 PVH (Tommy Hilfiger/Calvin Klein)
✨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 PVH (Tommy Hilfiger/Calvin Klein)!
✨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.
