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- Tasks: Lead the development of machine learning models for ad conversion predictions.
- Company: Join Reddit, a vibrant community platform with over 97M daily active users.
- Benefits: Enjoy remote work flexibility, a pension scheme, private medical care, and generous vacation days.
- Why this job: Shape the future of ads ML while collaborating with diverse teams in an inclusive culture.
- Qualifications: 3+ years in deep learning and ML frameworks; experience in model deployment and data pipelines.
- Other info: Reddit values diversity and offers support for individuals with disabilities.
The predicted salary is between 43200 - 72000 £ per year.
Remote - United Kingdom
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 100,000+ active communities and approximately 97M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Reddit has a flexible first workforce! If you happen to live close to our physical office location, our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely from the Netherlands or the United Kingdom.
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. The creation and enhancement of these models plays a crucial role in our organization’s efforts to optimize advertising effectiveness and drive business growth. We are looking for a motivated engineer that will help us advance our vision.
As a machine learning engineer in the Ads Conversion Modeling Team, you will take a leadership role in researching, formulating, and executing projects, while actively participating in the end-to-end implementation process. You will collaborate with cross-functional teams to ensure successful product delivery. You will also be able to contribute your expertise and shape the future of ads ML at Reddit!
Your Responsibilities:
- 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 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.
- Contribute meaningfully to team strategy. We give everyone a seat at the table and encourage active participation in planning for the future.
- Be a mentor and cross-functional advocate for the team.
Who You Might Be:
- Track record of consistently driving KPI wins through systematic work around model architecture and feature engineering.
- 3+ years of experience with industry-level deep learning models.
- 3+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch).
- 4+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models.
- 4+ years of experience orchestrating complicated data generation pipelines on large-scale datasets.
- Experience with Ads domain is a plus.
- Experience with recommendation systems is a plus.
We’re committed to hiring the best talent and building a diverse team. We’re proud to be completely remote-friendly and will continue to offer remote work options beyond the pandemic. Join us at Reddit, and help us build a community that is inclusive and empowering for everyone.
Benefits:
- Pension Scheme
- Private Medical and Dental Scheme
- Life Assurance, Income Protection
- Workspace benefit for your home office
- Family Planning Support
- Flexible Vacation & Reddit Global Days Off
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
Senior Machine Learning Engineer, Ads Covernsion Modeling employer: Reddit, Inc.
Contact Detail:
Reddit, Inc. Recruiting Team
ApplicationAssistance@Reddit.com
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer, Ads Covernsion Modeling
✨Tip Number 1
Familiarise yourself with Reddit's unique advertising model and community-driven approach. Understanding how their ads conversion modelling works will help you articulate your ideas and show that you're genuinely interested in their mission.
✨Tip Number 2
Highlight your experience with deep learning models and ML frameworks like TensorFlow and PyTorch during discussions. Be prepared to discuss specific projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Tip Number 3
Engage with the Reddit community before your interview. Participate in relevant subreddits related to machine learning and advertising. This will not only give you insights into current trends but also show your commitment to being part of their community.
✨Tip Number 4
Prepare to discuss your approach to feature engineering and model architecture. Be ready to share examples of how you've tackled complex data challenges in the past, as this aligns closely with the responsibilities of the role.
We think you need these skills to ace Senior Machine Learning Engineer, Ads Covernsion Modeling
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly with deep learning models and frameworks like TensorFlow and PyTorch. Emphasise any projects that demonstrate your ability to drive KPI wins through model architecture and feature engineering.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and how it aligns with Reddit's mission. Mention specific experiences that showcase your leadership in research and project execution, as well as your collaborative skills with cross-functional teams.
Showcase Your Projects: Include links or descriptions of past projects that involved building industrial-level models or working with large-scale datasets. Highlight any experience you have in the ads domain or recommendation systems, as this will strengthen your application.
Prepare for Technical Questions: Anticipate technical questions related to machine learning models and data generation pipelines. Be ready to discuss your approach to systematic feature engineering and how you've successfully implemented new model architectures in previous roles.
How to prepare for a job interview at Reddit, Inc.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with deep learning models and ML frameworks like TensorFlow and PyTorch. Bring examples of projects where you've successfully implemented complex model architectures and feature engineering techniques.
✨Understand Reddit's Unique Environment
Familiarise yourself with Reddit's community-driven platform and how it impacts advertising. Demonstrating knowledge about their user base and how machine learning can enhance ad effectiveness will show your genuine interest in the role.
✨Prepare for Collaborative Scenarios
Since the role involves working with cross-functional teams, be ready to discuss your experience in collaborative projects. Highlight instances where you’ve mentored others or contributed to team strategy, as this aligns with their emphasis on teamwork.
✨Ask Insightful Questions
Prepare thoughtful questions about the Ads Conversion Modeling Team's current projects and future goals. This not only shows your enthusiasm but also your strategic thinking regarding how you can contribute to their mission.
