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- Tasks: Build and optimise machine learning models for ad retrieval and ranking.
- Company: Join Reddit, a vibrant community platform with millions of active users.
- Benefits: Enjoy flexible vacation, personal development funds, and health benefits.
- Why this job: Be part of a mission to enhance user experience through innovative ML solutions.
- Qualifications: 3+ years in machine learning with proficiency in TensorFlow/PyTorch and programming languages.
- Other info: Work in a collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
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Machine Learning Engineer – Ads Retrieval, London
Client:
Location:
London, United Kingdom
Job Category:
Other
–
EU work permit required:
Yes
Job Reference:
1f8df558ea1d
Job Views:
25
Posted:
22.06.2025
Expiry Date:
06.08.2025
Job Description:
Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With ,+ active communities and approximately M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit .
Ads Retrieval team’s mission is to identify business opportunities and provide ML models and data-driven solutions for candidate sourcing, recommendation, early ranking, and filtering in Ads upper funnel. The team works on:
- Build and iterate on candidate sourcing and early ranking Machine Learning models and algorithms to find the most relevant, engaging, and diversified ad candidates for global optimization and various product use cases.
- Design and establish a large-scale candidate indexing system to enable efficient candidate retrieval at a scale of millions to billions, powering ads recommendation and ranking with a good balance between quality and computation efficiency.
As a machine learning engineer in the ads retrieval team, you will research, formulate, and execute our mission to build end-to-end ML solutions and deliver the right ad to the right user under the right context with data and ML-driven solutions.
Your Responsibilities:
- Building ads retrieval and early ranking systems for critical ML tasks using advanced industrial-level techniques.
- Research, implement, test, and launch new model architectures including information retrieval, ANN, recommendation systems, and deep neural networks within high-dimensional information systems.
- Work on large-scale data systems, backend services, and product integration.
- Collaborate closely with multiple stakeholders across product, engineering, research, and marketing.
Who You Might Be:
- + years of experience with applied machine learning models using TensorFlow/PyTorch with large-scale ML systems.
- + years of end-to-end experience in training, evaluating, testing, and deploying machine learning models.
- Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis.
- Experience orchestrating complex data pipelines and system engineering on large-scale datasets.
- Prior experience with information retrieval and recommendation systems.
- Ads domain knowledge on product and ML solutions is a plus.
Benefits:
- Pension Scheme
- Private Medical and Dental Scheme
- Life Assurance, Income Protection
- Workspace benefit for your home office
- Personal & Professional development funds
- Family Planning Support
- Commuter Benefits
- Flexible Vacation & Reddit Global Days Off
Join us at Reddit, and help us build a community that is inclusive and empowering for everyone.
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Machine Learning Engineer - Ads Retrieval (London) employer: Reddit
Contact Detail:
Reddit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - Ads Retrieval (London)
✨Tip Number 1
Familiarise yourself with Reddit's unique culture and community-driven approach. Understanding how Reddit operates and engages its users will help you align your skills and experiences with their mission, making you a more appealing candidate.
✨Tip Number 2
Network with current or former employees of Reddit, especially those in the Ads Retrieval team. Engaging in conversations about their experiences can provide valuable insights into the role and the company culture, which you can leverage during interviews.
✨Tip Number 3
Stay updated on the latest trends and advancements in machine learning, particularly in ads retrieval and recommendation systems. Being knowledgeable about current technologies and methodologies will demonstrate your passion and commitment to the field.
✨Tip Number 4
Prepare to discuss specific projects where you've successfully implemented machine learning models. Highlighting your hands-on experience with TensorFlow or PyTorch, as well as your ability to work with large-scale data systems, will showcase your qualifications effectively.
We think you need these skills to ace Machine Learning Engineer - Ads Retrieval (London)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Machine Learning Engineer position at Reddit. Familiarise yourself with the specific technologies and methodologies mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience in machine learning, particularly with TensorFlow or PyTorch. Emphasise your work on large-scale data systems and any experience with information retrieval and recommendation systems.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and how your skills align with Reddit's mission. Mention specific projects or achievements that demonstrate your ability to build and deploy ML models effectively.
Highlight Collaboration Skills: Since the role involves working closely with various stakeholders, be sure to include examples of past collaborations in your application. This could involve cross-functional teamwork or successful project management experiences.
How to prepare for a job interview at Reddit
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks like TensorFlow or PyTorch. Highlight specific projects where you've built or deployed models, especially in the context of ads retrieval or recommendation systems.
✨Understand Reddit's Culture
Familiarise yourself with Reddit's community-driven approach and values. Be ready to explain how your work can contribute to their mission of fostering open and authentic conversations online.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process when tackling complex data pipelines or model architectures, as this will demonstrate your analytical skills.
✨Emphasise Collaboration Experience
Since the role involves working closely with various stakeholders, share examples of past collaborations. Discuss how you’ve effectively communicated technical concepts to non-technical team members and contributed to cross-functional projects.
