At a Glance
- Tasks: Lead ML projects and enhance Reddit's Ads Delivery with innovative solutions.
- Company: Join Reddit, a dynamic platform fostering creativity and community.
- Benefits: Enjoy remote work flexibility, competitive salary, and growth opportunities.
- Other info: Be part of a collaborative team driving cutting-edge advancements.
- Why this job: Make a real impact on advertising technology in a vibrant online community.
- Qualifications: Strong experience in ML model lifecycle, NLP or CV at scale.
The predicted salary is between 60000 - 80000 £ per year.
Reddit, Inc. is seeking a Senior Machine Learning Engineer to join the Ads Foundational Representations team. This role involves full-cycle execution of ML projects and offers the opportunity for remote work anywhere in the UK. The focus will be on developing signals and representations for Reddit’s core entities and improving the Ads Delivery funnel.
The ideal candidate will have strong experience in ML model lifecycle and integration in NLP or CV at scale.
Senior ML Engineer, Ads Foundations — Remote UK/NL employer: Reddit, Inc.
Reddit, Inc. is an exceptional employer that champions innovation and creativity in the tech space, particularly for those passionate about machine learning. With the flexibility of remote work across the UK, employees enjoy a supportive work culture that fosters collaboration and professional growth, alongside opportunities to engage in impactful projects that shape the future of advertising technology. The company prioritises employee well-being and development, making it a rewarding place for talented individuals looking to make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer, Ads Foundations — Remote UK/NL
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior ML Engineer, Ads Foundations — Remote UK/NL
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Reddit, Inc., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Reddit, Inc.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Reddit, Inc.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Reddit, Inc.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
