āØ AI Insights & Summary
This Senior ML Engineer role at Reddit offers a unique opportunity to shape the future of advertising on one of the internet's largest and most dynamic platforms. You'll be at the forefront of leveraging cutting-edge AI, including LLMs and multimodal models, to build sophisticated representations of Reddit's core entities, directly impacting ad targeting, relevance, and business insights. If you're passionate about applying machine learning to real-world problems in a vibrant, community-driven environment, this role provides the chance to make a significant impact and grow your career.
About Reddit
Reddit is a vibrant community of communities, built on shared interests, passion, and trust. It hosts the most open and authentic conversations online, with users submitting, voting, and commenting on topics they care about daily. With over 100,000 active communities and approximately 126 million daily active unique visitors, Reddit is a significant source of internet information. Learn more at www.redditinc.com.
About the Ads Foundational Representations (AFR) Team
The AFR team is dedicated to developing signals and representations for Reddit's core entities ā ads, posts, users, and more. They capture semantic, contextual, and behavioral information crucial for Reddit Ads, focusing on building embeddings that understand content and user interests. This team leverages Reddit's unique differentiator: highly relevant, authentic, and daily updated organic content, applying Machine Learning and Data science to areas like Multimodal & Content Embeddings, Contextual and Behavioral Relevance, Knowledge Graph Embeddings, User Intent Modeling, and LLM-based Representations.
About the Role: Senior ML Engineer
As a Senior ML Engineer, you will own the full lifecycle of ML projects. This includes collaborating with cross-functional teams on requirements and design, implementing features, and conducting experiments. You will be instrumental in developing new or improving existing embedding models for advertising use cases, working with local and third-party LLMs/VLMs, and building robust data processing and inference pipelines.
Responsibilities
- Develop and iterate on embedding models for advertising use cases, including aggregation pipelines, two-tower architectures, and sequence models.
- Work with local and third-party LLMs/VLMs to extract representations, develop evaluation methodologies, and fine-tune models.
- Build data processing and inference pipelines for developed models.
- Conduct qualitative and quantitative evaluations of features through experimentation, from internal benchmarks to online experiments.
- Ensure reliability, scalability, and performance of ML systems through automated testing, monitoring, and best practices.
- Participate in modeling and coding reviews, providing constructive feedback.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
Requirements
- 5+ years of hands-on experience in the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models.
- Experience building NLP or CV models and integrating them at scale.
- Experience developing complex features/embeddings for downstream models.
- Proficiency with mainstream DL frameworks like PyTorch or TensorFlow.
- Enthusiasm for working with data and a readiness to analyze metrics deeply.
Preferred Qualifications
- Experience with Python, PyTorch, Airflow, BigQuery, Ray, k8s, Kafka, and GCP.
- Familiarity with the Ads domain and/or Search/Recommender systems.
- Tech leadership experience, including mentoring junior engineers and leading complex projects.
- Hands-on experience using, fine-tuning, or building LLMs.
Location
Flexible first workforce. Work remotely from anywhere in the UK or the Netherlands.
Benefits
- Global Benefit programs tailored to your lifestyle, including workspace and professional development support.
- Family Planning Support.
- Gender-Affirming Care.
- Mental Health & Coaching Benefits.
- Private Pension plan with Employer-matching.
- 100% employer-sponsored group medical plan.
- Income Replacement Programs.
- Flexible Vacation & Paid Volunteer Time Off.
- Generous Paid Parental Leave.