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- 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 supportive workspace 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 model deployment.
- Other info: Be part of a mission-driven company that values inclusivity and empowerment.
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 Engineer (w/m/d) employer: Reddit
Contact Detail:
Reddit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (w/m/d)
✨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 articulate how your skills can contribute to their mission during discussions.
✨Tip Number 2
Engage with the Reddit community before your interview. Participate in relevant subreddits related to machine learning and advertising. This will not only show your enthusiasm for the platform but also give you insights into user behaviour and preferences.
✨Tip Number 3
Prepare to discuss specific machine learning projects you've worked on, especially those involving deep learning frameworks like TensorFlow or PyTorch. Be ready to explain your thought process and the impact of your work on previous projects.
✨Tip Number 4
Network with current or former employees of Reddit, particularly those in the Ads Conversion Modeling Team. They can provide valuable insights into the team culture and expectations, which can help you tailor your approach during the application process.
We think you need these skills to ace Machine Learning Engineer (w/m/d)
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the Machine Learning Engineer position at Reddit. Familiarise yourself with the specific skills mentioned, such as experience with TensorFlow and PyTorch, as well as the importance of feature engineering.
Tailor Your CV: Customise your CV to highlight relevant experience in machine learning, particularly any projects involving model development and deployment. Emphasise your familiarity with the frameworks and techniques mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also reflects your enthusiasm for Reddit's mission and culture. Mention how your background aligns with their goals in ads conversion modelling and your eagerness to contribute to their 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 built and describe your role in the end-to-end implementation process to demonstrate your hands-on experience.
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 your approach to feature engineering and model evaluation.
✨Understand Reddit's Unique Value Proposition
Familiarise yourself with how Reddit differentiates itself in the advertising space. Understand their community-driven approach and be ready to discuss how your skills can contribute to enhancing user engagement and conversion rates.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process when tackling complex data generation pipelines or model architecture challenges, as this will demonstrate your analytical skills.
✨Emphasise Collaboration and Communication
Since the role involves working with a diverse team, highlight your ability to collaborate effectively. Share examples of how you've worked with cross-functional teams in the past and how you communicate complex ideas to non-technical stakeholders.
