Senior Machine Learning Engineer, Ads Foundational Representations

Stack

Responsibilities

• ▹Developing new or iterating on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models.
• ▹Working with local and 3rd-party LLMs/VLMs: extracting representations, developing evaluation methodologies, prompt tuning and fine-tuning large models to build state-of-the-art embeddings.
• ▹Building data processing and inference pipelines for the models developed.
• ▹Qualitative and quantitative evaluation of the various features developed, end-to-end experimentation from internal benchmarks to downstream recommender system offline metrics to online experiments.
• ▹Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management.
• ▹Participating in modeling and coding reviews, providing feedback to ensure team quality and performance standards.
• ▹Collaborating with cross-functional teams to translate business requirements into technical solutions.

Requirements

• ▹5+ years of hands-on experience with 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.
• ▹Experience with mainstream DL frameworks: PyTorch or TensorFlow.
• ▹Excitement about working with data and readiness to look behind the metric numbers.

Nice to have

• ▹Experience with the team's stack (Python, PyTorch, Airflow, BigQuery, Ray, Kubernetes, Kafka, GCP).
• ▹Familiarity with the Ads domain and/or Search/Recommender systems.
• ▹Tech leadership experience: mentoring junior engineers and leading complex projects.
• ▹Hands-on experience using, fine-tuning or building LLMs.

Soft skills

What we offer

• ▹Global benefit programs covering workspace, professional development and caregiving support.
• ▹Family planning support.
• ▹Gender-affirming care.
• ▹Mental health & coaching benefits.
• ▹Group personal pension scheme with employer match.
• ▹Private medical and dental scheme.
• ▹Income replacement programs.
• ▹Bike to Work scheme.
• ▹Flexible vacation & paid volunteer time off.
• ▹Generous paid parental leave.

About the company

Reddit is a community of communities, built on shared interests, passion and trust, home to some of the internet's most open and authentic conversations. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information.