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- Tasks: Enhance search technologies and collaborate on exciting projects with diverse teams.
- Company: Innovative tech company in Greater London focused on advanced search solutions.
- Benefits: Gain hands-on experience, mentorship, and a chance to work with cutting-edge ML tools.
- Why this job: Make a real impact on search quality while developing your skills in a dynamic environment.
- Qualifications: Strong foundation in machine learning, Python, and familiarity with PyTorch or TensorFlow.
- Other info: Full-time internship lasting 12-24 weeks with excellent career growth potential.
The predicted salary is between 20000 - 30000 £ per year.
A technology company in Greater London is seeking a Search Machine Learning Engineer Intern to contribute to advanced search technologies. This full-time, in-person internship lasts 12-24 weeks.
Candidates should have a strong foundation in machine learning, especially with Python and familiar ML frameworks like PyTorch and TensorFlow.
Responsibilities include:
- Improving search quality
- Designing search platform components
- Collaborating with various teams
The position offers valuable experience in a fast-paced environment.
Search ML Engineer Intern - Retrieval & Ranking in London employer: Perplexity
Contact Detail:
Perplexity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Search ML Engineer Intern - Retrieval & Ranking in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those using Python, PyTorch, or TensorFlow. This will help us see your practical experience and passion for the field.
✨Tip Number 3
Prepare for the interview by brushing up on common ML concepts and algorithms. We want to see how you think, so be ready to discuss your problem-solving approach and any relevant projects you've worked on.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you're genuinely interested in joining our team and contributing to our search technologies.
We think you need these skills to ace Search ML Engineer Intern - Retrieval & Ranking in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your machine learning skills, especially with Python and any frameworks like PyTorch or TensorFlow. We want to see how you can contribute to our advanced search technologies!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the responsibilities mentioned in the job description. We love seeing candidates who understand what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Perplexity
✨Know Your ML Basics
Make sure you brush up on your machine learning fundamentals. Be ready to discuss concepts like supervised vs unsupervised learning, and how they apply to search technologies. We recommend preparing examples of projects where you've used Python and frameworks like PyTorch or TensorFlow.
✨Showcase Your Problem-Solving Skills
During the interview, expect to tackle some practical problems related to search quality. We suggest practising coding challenges that involve algorithms and data structures, as well as thinking through how you would improve a search system. This will demonstrate your analytical skills and creativity.
✨Collaborate Like a Pro
Since the role involves working with various teams, be prepared to discuss your experience in collaborative projects. We advise sharing specific examples where you successfully worked with others to achieve a common goal, highlighting your communication skills and teamwork.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! We suggest inquiring about the current challenges the team faces in improving search quality or how they measure success in their projects. This shows your genuine interest in the role and helps you understand if it’s the right fit for you.