Senior ML Engineer: Next-Gen Search, Retrieval & Ranking in London

Senior ML Engineer: Next-Gen Search, Retrieval & Ranking in London

London Full-Time 60000 - 80000 € / year (est.) No home office possible
Perplexity

At a Glance

  • Tasks: Enhance search technologies and improve retrieval and ranking systems.
  • Company: Leading tech company in Berlin with a focus on innovation.
  • Benefits: Full-time contract with competitive benefits and growth opportunities.
  • Other info: Dynamic work environment with a strong emphasis on collaboration.
  • Why this job: Join a cutting-edge team and shape the future of search technology.
  • Qualifications: 5+ years in machine learning and experience with large-scale search systems.

The predicted salary is between 60000 - 80000 € per year.

A technology company in Berlin is seeking an experienced Senior Machine Learning Engineer to advance search technologies with a focus on retrieval and ranking.

Responsibilities include:

  • Improving search quality
  • Building components for the search platform
  • Training models

Ideal candidates should have extensive experience in search systems, including a track record in large-scale projects and a minimum of 5 years in relevant roles. The position offers a full-time contract and various benefits.

Senior ML Engineer: Next-Gen Search, Retrieval & Ranking in London employer: Perplexity

Join a forward-thinking technology company in Berlin that prioritises innovation and employee development. With a collaborative work culture, competitive benefits, and ample opportunities for professional growth, this role as a Senior Machine Learning Engineer offers the chance to make a significant impact on next-gen search technologies while enjoying the vibrant atmosphere of one of Europe's tech hubs.

Perplexity

Contact Detail:

Perplexity Recruiting Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior ML Engineer: Next-Gen Search, Retrieval & Ranking in London

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those working in search technologies. A friendly chat can lead to insider info about job openings or even a referral.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects related to search systems and machine learning. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for technical interviews by brushing up on your ML algorithms and search ranking techniques. Practise coding challenges and be ready to discuss your past projects in detail.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!

We think you need these skills to ace Senior ML Engineer: Next-Gen Search, Retrieval & Ranking in London

Machine Learning
Search Technologies
Retrieval Systems
Ranking Algorithms
Model Training
Large-Scale Project Experience
Search Quality Improvement

Some tips for your application 🫑

Tailor Your CV:Make sure your CV highlights your experience in search systems and any large-scale projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about advancing search technologies and how your background makes you the perfect fit for our team. Keep it engaging and relevant!

Showcase Your Projects:If you've worked on any notable projects related to retrieval and ranking, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions that demonstrate your impact.

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’re considered for the role. Plus, it’s super easy – just follow the prompts!

How to prepare for a job interview at Perplexity

✨Know Your ML Fundamentals

Brush up on your machine learning fundamentals, especially those related to search technologies. Be prepared to discuss algorithms, model training, and evaluation metrics that are relevant to retrieval and ranking.

✨Showcase Your Projects

Have a few key projects ready to discuss that highlight your experience with large-scale search systems. Be specific about your role, the challenges you faced, and how you contributed to improving search quality.

✨Prepare for Technical Questions

Expect technical questions that test your understanding of search algorithms and data structures. Practise explaining complex concepts in simple terms, as this will demonstrate your depth of knowledge and communication skills.

✨Ask Insightful Questions

Prepare thoughtful questions about the company's current search technologies and future goals. This shows your genuine interest in the role and helps you assess if the company aligns with your career aspirations.