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- Tasks: Design and maintain large-scale distributed training infrastructure for Ads ML models.
- Company: Join Reddit, a vibrant community with over 101M daily active users, fostering open conversations.
- Benefits: Enjoy flexible remote work, private medical care, pension scheme, and generous vacation policies.
- Why this job: Be part of a cutting-edge team improving ad targeting and efficiency in a dynamic environment.
- Qualifications: 5+ years in infrastructure engineering; 2+ years with Ray platform; strong distributed computing knowledge.
- Other info: Interviews may be recorded; Reddit values diversity and offers accommodations for applicants with disabilities.
The predicted salary is between 43200 - 72000 £ per year.
Senior Machine Learning Engineer, Ads Training Platform
Join to apply for the Senior Machine Learning Engineer, Ads Training Platform role at Reddit, Inc.
Senior Machine Learning Engineer, Ads Training Platform
Join to apply for the Senior Machine Learning Engineer, Ads Training Platform role at Reddit, Inc.
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 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.
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.
Team Overview
The Ads Training Platform pod builds and maintains the distributed training and data processing infrastructure that powers Reddit’s Ads machine learning models. We focus on enabling fast, reliable, and scalable model training across large datasets, supporting the Ads ML teams in improving ad targeting, conversion prediction, and advertiser value.
We are looking for an engineer with deep experience in infrastructure, distributed systems, and ML platform operations to help evolve and scale our training systems.
What You’ll Do
- Design, build, and maintain large-scale distributed training infrastructure for Ads ML models.
- Develop tools and frameworks on top of the Ray platform.
- Build tools to debug, profile, and tune distributed training jobs for performance and reliability.
- Integrate with object storage systems and improve data access patterns.
- Collaborate with ML engineers to improve model training time, efficiency, and GPU training costs..
- Drive improvements in scheduling, state management, and fault tolerance within the training platform to enhance overall performance.
What You Bring
- 5+ years in infrastructure/platform engineering or large-scale distributed systems.
- 2+ years hands-on experience with Ray platform.
- Strong understanding of distributed computing principles (task scheduling, fault tolerance, state management).
- Experience with distributed storage systems and large-scale data processing.
- Proven ability to debug and profile distributed jobs.
- Experience with deep learning frameworks (PyTorch, TensorFlow) is a big plus.
- Bonus: model optimization for distributed training, Ads ML experience.
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
In select roles and locations, the interviews will be recorded, and transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
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. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
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Senior Machine Learning Engineer, Ads Training Platform employer: Reddit, Inc.
Contact Detail:
Reddit, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer, Ads Training Platform
✨Tip Number 1
Familiarise yourself with the Ray platform, as it's a key part of the role. Consider contributing to open-source projects or building your own small-scale applications using Ray to demonstrate your hands-on experience.
✨Tip Number 2
Network with professionals in the machine learning and distributed systems space. Attend relevant meetups or webinars, and connect with current Reddit employees on LinkedIn to gain insights into their work culture and expectations.
✨Tip Number 3
Prepare to discuss your experience with debugging and profiling distributed jobs. Have specific examples ready that showcase your problem-solving skills and how you've improved performance in past projects.
✨Tip Number 4
Stay updated on the latest trends in machine learning infrastructure and distributed computing. Being knowledgeable about recent advancements can help you stand out during interviews and show your passion for the field.
We think you need these skills to ace Senior Machine Learning Engineer, Ads Training Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in infrastructure and distributed systems, particularly with the Ray platform. Use specific examples that demonstrate your skills in building and maintaining large-scale systems.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and how your background aligns with Reddit's mission. Mention any experience you have with ad targeting or conversion prediction to show your understanding of the role.
Showcase Technical Skills: Clearly outline your technical skills related to distributed computing principles, debugging, and profiling distributed jobs. If you have experience with deep learning frameworks like PyTorch or TensorFlow, make sure to include that as well.
Highlight Collaboration Experience: Since the role involves collaboration with ML engineers, provide examples of past teamwork experiences. Discuss how you contributed to improving model training efficiency or performance in previous projects.
How to prepare for a job interview at Reddit, Inc.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with distributed systems and the Ray platform in detail. Highlight specific projects where you've designed or maintained large-scale infrastructure, as this will demonstrate your capability to handle the responsibilities of the role.
✨Understand the Ads ML Landscape
Familiarise yourself with Reddit's Ads machine learning models and how they operate. Being able to discuss how your work can improve ad targeting and conversion prediction will show that you understand the business context of the role.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills, especially around debugging and profiling distributed jobs. Practising common scenarios and solutions will help you articulate your thought process during the interview.
✨Emphasise Collaboration Skills
Since the role involves working closely with ML engineers, be ready to discuss your experience in collaborative environments. Share examples of how you've successfully worked with cross-functional teams to achieve project goals.
