Staff Machine Learning Engineer, Ads Foundational Representations

About the role

The Ads Foundational Representations team develops signals and representations of Reddit’s core entities to support advertising relevance and business insights. As a Staff ML Engineer, you will set the technical direction for multiple pillars, leading cross-functional projects from business gap analysis to engineering execution. The role balances technical leadership and mentorship with hands-on data analysis, modeling, and automation.

Responsibilities

• Providing technical leadership and mentorship to MLEs in the team: driving designs & their review, establishing best practices in analysis, modeling and engineering, keeping the bar high.
• Working closely with team/org leadership developing technical strategy for content-based embeddings & relevance for Ads.
• 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: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings.
• Building data processing and inference pipelines for the models we develop.
• Qualitative and quantitative evaluation of the various features we develop, 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: You will review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance.
• Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.

Required skills

• Machine Learning
• NLP
• Computer Vision
• PyTorch
• TensorFlow
• Recommender Systems
• Search Systems
• Data Analysis

Nice to have

• Python
• Airflow
• BigQuery
• Ray
• Kubernetes
• Kafka
• GCP
• LLMs

Qualifications

• 7+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models
• Demonstrated Staff-level technical leadership

Benefits

• Global Benefit programs
• 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
• Paid Parental Leave

About the Company

Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet’s largest sources of information.