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- Tasks: Join a world-leading team to tackle complex machine learning challenges.
- Company: Be part of an elite AI research division in a top tech company.
- Benefits: Enjoy hybrid remote work and opportunities to publish your research.
- Why this job: Shape the future of AI while working on high-impact projects.
- Qualifications: PhD in a relevant field with a strong publication record required.
- Other info: Candidates should have deep expertise in machine learning algorithm development.
The predicted salary is between 43200 - 72000 £ per year.
Social network you want to login/join with: Machine Learning Research Engineer, London EU work permit required: Research Machine Learning Engineer – World Leading Team – Cambridge / London A world-leading tech company is looking for an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to work on some of the most complex and exciting problems in machine learning – driving cutting-edge innovation with real-world impact. Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals. Deep expertise in machine learning algorithm development is essential, and we’re especially interested in those who thrive in pushing the boundaries of what’s possible. Large Language Models (LLMs) Applied AI research at scale Hybrid remote work with offices in Cambridge or London The chance to publish and share your work with the broader research community Work on high-impact projects with significant reach and visibility If you\’re passionate about advanced machine learning and want to shape the future of AI, this is the opportunity to do it. #
Machine Learning Research Engineer (Remote) employer: OHO Group Ltd.
Contact Detail:
OHO Group Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Research Engineer (Remote)
✨Tip Number 1
Network with professionals in the AI and machine learning community. Attend conferences, webinars, or local meetups to connect with researchers and industry leaders. This can help you gain insights into the latest trends and potentially lead to referrals.
✨Tip Number 2
Engage with relevant online platforms and forums where machine learning topics are discussed. Contributing to discussions on platforms like GitHub or Stack Overflow can showcase your expertise and passion for the field, making you more visible to potential employers.
✨Tip Number 3
Consider collaborating on research projects or publications with other professionals in the field. This not only enhances your CV but also demonstrates your ability to work in a team and contribute to significant advancements in machine learning.
✨Tip Number 4
Stay updated on the latest advancements in machine learning, especially in areas related to Large Language Models. Being knowledgeable about current research and breakthroughs will allow you to speak confidently about your interests and ideas during interviews.
We think you need these skills to ace Machine Learning Research Engineer (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning, particularly any work related to algorithm development and publications. Emphasise your PhD and any significant projects that showcase your expertise.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and how it aligns with the company's goals. Mention specific projects or research areas you are excited about and how you can contribute to their elite AI research division.
Showcase Your Publications: If you have published papers in top-tier conferences or journals, include a section in your application that lists these works. Highlight any that are particularly relevant to the role, especially those involving Large Language Models or applied AI research.
Prepare for Technical Questions: Anticipate technical questions related to machine learning algorithms and be ready to discuss your previous work in detail. Consider including examples of challenges you've faced and how you overcame them in your application.
How to prepare for a job interview at OHO Group Ltd.
✨Showcase Your Research
Be prepared to discuss your previous research in detail. Highlight your publications and any significant contributions you've made to the field of machine learning, especially those that align with the company's focus on cutting-edge innovation.
✨Demonstrate Technical Expertise
Expect technical questions that assess your understanding of machine learning algorithms. Brush up on key concepts, particularly around Large Language Models, and be ready to explain complex ideas clearly and concisely.
✨Prepare for Problem-Solving Scenarios
You may be presented with real-world problems during the interview. Practice articulating your thought process and approach to solving these challenges, showcasing your ability to think critically and creatively.
✨Express Your Passion for AI
Convey your enthusiasm for advanced machine learning and its potential impact. Share your vision for the future of AI and how you see yourself contributing to the company's mission and projects.
