Senior Staff Machine Learning Engineer, Notifications
As a Senior Staff Machine Learning Engineer, you will design and build large-scale, end-to-end recommendation systems for Reddit's Notifications Relevance team. You will leverage machine learning and LLMs to deliver personalized content to users, driving growth and user engagement.
About the job
What You’ll Do
- Contribute to advancing Reddit's growth by designing and implementing content discovery algorithms that prioritize a seamless and highly personalized user experience.
- Deeply understand the Reddit Notifications product and drive the vision for the notifications relevance team.
- Enhance core recommendation capabilities, including candidate retrieval, ranking models, and budgeting optimization, while designing and testing new pipeline components. You will also deploy ML models, integrate LLMs, and ensure robust monitoring and smooth product integration throughout the process.
- Serve as the primary ML domain expert, deploying state-of-the-art models at scale, driving architectural decisions, and ensuring robust monitoring and smooth product integration across the engineering organization.
- Collaborate across disciplines and with ML, Product, Infrastructure, and DS teams at Reddit to find technical solutions to complex challenges.
- Mentor and guide senior and staff engineers in the team.
- Partner closely with senior leadership and cross-functional org leads to shape long-term roadmaps, balancing immediate operational wins with strategic technical objectives.
Who You Are
- 10+ years of industry experience with deep expertise in large-scale recommendation systems, notifications experience preferred.
- Proven ability to identify key opportunities, define roadmaps and drive scalable improvement in notifications relevance.
- Strong experience in building and deploying large-scale ML models using frameworks such as PyTorch or Tensorflow.
- Experience working with LLM in production and utilizing generative AI to augment recommendation systems
- Proficiency in object-oriented programming (Python, Golang).
- Big Plus: experience with state of the art model architectures
- Big Plus: experience building production Agentic AI frameworks.
Benefits:
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
Skills
PyTorch, TensorFlow, Python, Go, LLMs, Generative AI, Recommendation Systems
Similar jobs
ML Engineering jobs
United States
Leads the technical direction and development of large-scale, GenAI-powered recommendation and feed-ranking systems. Requires 10+ years of industry experience in relevance-driven products, deep expertise in machine learning and recommendations, and strong organizational influence and mentoring skills.
Square
San Francisco, CA
Build and operate production machine learning systems for ranking, retrieval, recommendations, personalization, and customer intelligence. The role requires 12+ years of production software and ML experience, strong expertise in intelligent systems, and sound judgment around trustworthy customer-impacting signals.
United States
Leads the technical direction of large-scale ML infrastructure for embedding, recommendation, and personalization systems. The role requires 8+ years of ML engineering experience, expertise in deep learning and distributed training, and strong leadership across research, infrastructure, and production deployment.
Scale AI
San Francisco, CAStaff engineer responsible for designing and scaling the infrastructure, execution environments, verifiers, and tooling used to train and evaluate AI agents. Requires 8+ years of software engineering experience, strong Python and distributed-systems expertise, and familiarity with sandboxing, high-throughput systems, and LLM workflows.
Haus
Seattle, WAStaff Machine Learning Engineer building and operating production ML systems for causal marketing measurement, optimization, and planning. The role requires deep statistical and machine learning expertise, production programming experience, cross-functional collaboration, and technical mentorship.