At a Glance
- Tasks: Join our Ads Conversion Modeling Team to develop and implement cutting-edge Machine Learning models.
- Company: Reddit is a vibrant community platform with millions of active users and diverse interests.
- Benefits: Enjoy flexible vacation, personal development funds, and a workspace benefit for your home office.
- Why this job: Shape the future of ads ML while collaborating with a passionate and diverse team.
- Qualifications: 3+ years in Machine Learning with experience in Tensorflow or Pytorch and end-to-end model deployment.
- Other info: EU work permit required; we value inclusivity and encourage everyone to contribute.
The predicted salary is between 36000 - 60000 £ per year.
Social network you want to login/join with: Machine Learning Engineer – Ads Conversion Modeling, London EU work permit required: Reddit is a community of communities. 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 internets largest sources of information. As a company, Reddit primarily generates revenue through advertising, and we\’re working towards building a massive business to fund our mission. We distinguish ourselves from other digital ad platforms by attracting advertisers who want to connect with a specific target audience because of our passionate and engaged communities. The Ads Conversions Modeling Team is entrusted with the development and maintenance of a diverse set of Machine Learning models that are responsible for predictions regarding user conversions after engaging with Reddit. We are looking for a motivated engineer that will help us advance our vision. As a diverse group of software engineers, product managers, data scientists, and ads experts, we are excited for you to join our team! As a machine learning engineer in the Ads Conversion Modeling Team, you will research, formulate, and execute projects, and actively participate in the end-to-end implementation process. You will also be able to contribute your expertise and shape the future of ads ML at Reddit! Building industrial-level models for critical ML tasks with advanced modeling architectures and techniques Research, implement, test, and launch new model architectures including deep neural networks with advanced pooling and feature interaction architectures Systematic feature engineering works to convert all kinds of raw data in Reddit (dense & sparse, behavior & content, etc) into features with various FE technologies such as aggregation, embedding, sub-models, etc. We give everyone a seat at the table and encourage active participation in planning for the future years of experience with industry-level Machine Learning models ~+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch) ~+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models ~ Experience in orchestrating complicated data generation pipelines on large-scale dataset is a plus ~ Pension Scheme Private Medical and Dental Scheme Life Assurance, Income Protection Workspace benefit for your home office Personal & Professional development funds 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. #
Machine Learning Developer / Engineer employer: Reddit
Contact Detail:
Reddit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Developer / Engineer
✨Tip Number 1
Familiarise yourself with Reddit's unique advertising model and how it differs from other platforms. Understanding their community-driven approach will help you demonstrate your alignment with their mission during interviews.
✨Tip Number 2
Showcase your experience with mainstream ML frameworks like TensorFlow and PyTorch by discussing specific projects you've worked on. Be prepared to explain the challenges you faced and how you overcame them, as this will highlight your problem-solving skills.
✨Tip Number 3
Engage with the Reddit community before your interview. Participate in relevant subreddits related to machine learning and advertising to gain insights and demonstrate your genuine interest in the platform and its users.
✨Tip Number 4
Prepare to discuss your experience with feature engineering and data generation pipelines. Be ready to provide examples of how you've transformed raw data into actionable features, as this is crucial for the role in Ads Conversion Modeling.
We think you need these skills to ace Machine Learning Developer / Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Machine Learning Developer position at Reddit. Familiarise yourself with their focus on ads conversion modelling and the specific skills they are looking for.
Tailor Your CV: Customise your CV to highlight relevant experience in machine learning, particularly with frameworks like TensorFlow and PyTorch. Emphasise any projects where you've built or deployed models, especially in an advertising context.
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 experiences that demonstrate your ability to contribute to the Ads Conversion Modeling Team.
Showcase Your Projects: If you have worked on relevant projects, consider including links to your GitHub or portfolio. Highlight any industrial-level models you've developed and explain your role in the end-to-end implementation process.
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 and PyTorch. Bring examples of projects where you've built and deployed models, and be ready to explain the technical details behind your work.
✨Understand Reddit's Unique Environment
Familiarise yourself with Reddit's community-driven platform and how it impacts advertising. Understanding the nuances of user engagement on Reddit will help you articulate how your skills can contribute to their Ads Conversion Modeling Team.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice solving problems related to feature engineering and model evaluation, as these are crucial for the role. Think aloud while solving to demonstrate your thought process.
✨Emphasise Collaboration and Communication
Highlight your ability to work in diverse teams and communicate complex ideas clearly. Since the role involves collaboration with product managers and data scientists, showcasing your teamwork skills will be essential.