Senior Machine Learning Engineer

Summary

Join Reddit's Ads Contextual Intelligence (ACI) team as a Senior ML Engineer and contribute to innovative projects focused on contextualizing user and advertiser content. You will be responsible for the full lifecycle of content understanding projects, from collaboration with cross-functional teams to implementation and experimentation. The role involves developing and iterating on NLP algorithms and models for advertising, building data processing pipelines, and ensuring the reliability and scalability of ML systems. Reddit offers a flexible work environment with options for remote work in the Netherlands or the United Kingdom, or in-office work if you live nearby. The company is committed to providing a diverse and inclusive workplace.

Requirements

• 5+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models
• Experience building NLP models and integrating them at scale
• Experience with mainstream DL frameworks: TensorFlow or PyTorch
• Excitement about working with data and readiness to look behind the metric numbers

Responsibilities

• Develop new or iterate on existing NLP algorithms and models for advertising use cases, such as NER, text classification, text embedding models, etc
• Build data processing pipelines & APIs that make the signals and annotations computed with those models available
• Provide hands-on help and consulting for the integration of contextual signals into downstream optimization models (Ad Targeting, Ad Ranking, etc.)
• Ensure the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management
• Participate in modeling and coding reviews: Review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions

Preferred Qualifications

• Tech leadership experience: mentoring junior engineers and leading complex projects
• Experience with our stack (Python, Golang, Airflow, BigQuery, Ray, k8s, kafka, GCP/AWS)
• Familiarity with the Ads domain and/or Search/Recommender systems is a strong plus
• Hands-on experience with using/fine-tuning/building LLMs

Benefits

• Pension Savings plan
• Medical Plan
• Short term sickness benefits
• WIA excess and WGA gap insurance
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation & Reddit Global Days Off