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- Tasks: Lead research in Bayesian optimisation and tackle real-world challenges with machine learning.
- Company: Leading AI software company in Cambridge with an innovative team.
- Benefits: Competitive salary, stock options, free on-site gym, and great perks.
- Why this job: Join a cutting-edge team and make a real impact in AI research.
- Qualifications: PhD in a relevant field and a passion for machine learning.
- Other info: Perfect for recent PhD graduates or experienced research leaders.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI software company in Cambridge is looking for a Research Scientist to join their innovative team. Applicants should have a PhD and a passion for machine learning research. The role involves leading research programs in Bayesian optimisation and working collaboratively to solve complex real-world challenges.
Competitive salary and benefits, including stock options and a free on-site gym, are offered. Ideal for recent PhD graduates or experienced research leaders.
Research Scientist, ML - Bayesian Optimisation & Open-Source in Cambridge employer: SoCode Recruitment
Contact Detail:
SoCode Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist, ML - Bayesian Optimisation & Open-Source in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and machine learning space. Attend meetups, webinars, or conferences where you can chat with industry folks. You never know who might have a lead on that perfect Research Scientist role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, especially those related to Bayesian optimisation. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can bring to their innovative team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms. Remember, they want to see how you think and approach challenges, so be ready to tackle some real-world scenarios!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people. Let’s get you that dream job in AI!
We think you need these skills to ace Research Scientist, ML - Bayesian Optimisation & Open-Source in Cambridge
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for machine learning shine through. We want to see your genuine interest in Bayesian optimisation and how it connects to your past research experiences.
Tailor Your CV: Make sure your CV is tailored to the role. Highlight relevant projects and skills that align with our focus on innovative AI solutions. We love seeing how your background fits into our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit. Share specific examples of your research and how you’ve tackled complex challenges. We appreciate a personal touch!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at SoCode Recruitment
✨Know Your Stuff
Make sure you brush up on your knowledge of Bayesian optimisation and machine learning concepts. Be ready to discuss your PhD research in detail, as well as any relevant projects you've worked on. This shows your passion and expertise in the field.
✨Show Your Collaborative Spirit
Since the role involves working collaboratively, think of examples where you've successfully worked in a team. Be prepared to discuss how you approach problem-solving with others and how you can contribute to the innovative environment of the company.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the company's research direction, team dynamics, and how they approach real-world challenges. This not only shows your interest but also helps you gauge if the company is the right fit for you.
✨Practice Makes Perfect
Conduct mock interviews with friends or mentors to get comfortable with articulating your thoughts. Focus on explaining complex concepts clearly and concisely, as this will be crucial in demonstrating your communication skills during the interview.
