At a Glance
- Tasks: Enhance search technologies by improving retrieval and ranking through innovative experiments.
- Company: Aimling, a forward-thinking tech company in London.
- Benefits: Gain hands-on experience, mentorship, and networking opportunities in a dynamic environment.
- Other info: Full-time internship lasting 12-24 weeks, in-person collaboration in London.
- Why this job: Join a cutting-edge team and make a real impact on next-gen search technologies.
- Qualifications: Strong foundation in machine learning, Python skills, and 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 in London 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. Join us to be part of a forward-thinking company that values creativity and offers a supportive environment for your career development.
StudySmarter Expert Advice🤫
We think this is how you could land Search ML Engineer Intern: Build Next-Gen Retrieval in London
✨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 machine learning and Python. 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 in London
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.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to the specific role of Search ML Engineer Intern. Mention how your background fits with our goals at StudySmarter and what you can bring to the team.
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 shows you’re keen to join our team!
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, and be ready to solve coding problems on the spot. Practice common algorithms and libraries like NumPy and scikit-learn.
✨Understand Search Technologies
Dive into the latest trends in search technologies. Familiarise yourself with how search engines work, including indexing and query processing. Being able to discuss current advancements will impress the interviewers and demonstrate your enthusiasm for the role.
✨Collaborate and Communicate
Since the role involves working with cross-functional teams, highlight your teamwork skills. Prepare examples of past collaborations and how you effectively communicated complex ideas. This will show that you can thrive in a team environment and contribute positively.
