Search ML Engineer Intern: Build Next-Gen Retrieval

Search ML Engineer Intern: Build Next-Gen Retrieval

Internship 20000 - 30000 £ / year (est.) No working from home possible
Aimling

At a Glance

  • Tasks: Enhance search technologies by improving retrieval and ranking through innovative experiments.
  • Company: Aimling, a forward-thinking tech company in the heart of London.
  • Benefits: Gain hands-on experience, mentorship, and a chance to work with cutting-edge technology.
  • Other info: Full-time internship lasting 12-24 weeks, perfect for career growth.
  • Why this job: Make a real impact on next-gen search technologies while building your skills.
  • Qualifications: Strong foundation in machine learning and Python, plus a passion for search tech.

The predicted salary is between 20000 - 30000 £ per year.

Aimling is seeking a Search Machine Learning Engineer Intern to enhance search technologies with a focus on retrieval and ranking. This full-time internship lasts 12-24 weeks and requires working in person in the London office.

Your responsibilities include:

  • Improving search quality through experiments
  • Designing model components
  • Collaborating with cross-functional teams

Candidates should have a strong foundation in machine learning, experience with Python, and a keen interest in search technologies.

Search ML Engineer Intern: Build Next-Gen Retrieval employer: Aimling

At Aimling, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive. As a Search Machine Learning Engineer Intern in our London office, you'll benefit from hands-on experience in cutting-edge technologies, collaborative projects with talented teams, and ample opportunities for professional growth in the rapidly evolving field of machine learning. Join us to make a meaningful impact while enjoying a supportive environment that values creativity and continuous learning.

Aimling

Contact Details:

Aimling Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Search ML Engineer Intern: Build Next-Gen Retrieval

Tip Number 1

Network like a pro! Reach out to current or former employees at Aimling on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!

Tip Number 2

Show off your skills! Prepare a mini-project or a portfolio that highlights your machine learning expertise, especially in search technologies. This will make you stand out during interviews.

Tip Number 3

Practice makes perfect! Get comfortable with common interview questions related to ML and search algorithms. We can even do mock interviews together to boost your confidence.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have tips and resources available to help you ace the process.

We think you need these skills to ace Search ML Engineer Intern: Build Next-Gen Retrieval

Machine Learning
Search Technologies
Retrieval and Ranking
Python
Experiment Design
Model Component Design
Collaboration

Some tips for your application 🫡

Show Your Passion for Search Tech:When you write your application, let us know why you're excited about search technologies. Share any projects or experiences that highlight your interest in retrieval and ranking – it’ll make your application stand out!

Highlight Your Skills:Make sure to showcase your machine learning knowledge and Python experience clearly. We want to see how your skills align with the role, so don’t hold back on detailing relevant coursework or projects.

Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Search ML Engineer Intern position.

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 this exciting opportunity in our London office!

How to prepare for a job interview at Aimling

Know Your ML Basics

Make sure you brush up on your machine learning fundamentals. Be ready to discuss concepts like retrieval models, ranking algorithms, and evaluation metrics. This will show that you have a solid foundation and are genuinely interested in the field.

Show Off Your Python Skills

Since Python is key for this role, prepare to talk about your experience with it. Bring examples of projects where you've used Python for machine learning tasks, especially those related to search technologies. If you can, demonstrate your coding skills during the interview.

Prepare for Problem-Solving Questions

Expect to tackle some problem-solving scenarios related to search quality and ranking. Practice explaining your thought process clearly and logically. This will help the interviewers see how you approach challenges and collaborate with others.

Research Aimling's Technologies

Familiarise yourself with Aimling's current search technologies and any recent advancements they've made. This shows initiative and helps you ask informed questions, making you stand out as a candidate who is genuinely interested in contributing to their team.