Now is an amazing time to join Reddit as we seek to bring community and belonging to everyone in the world. We are looking for a Staff Machine Learning Engineer to join us and lead a newly established program for our messaging platform.

The Messaging team is responsible for Reddit initiated messaging (email, push-notifications, in-app notifications). This includes end-to-end consumer-facing messaging strategy, messaging creation and performance.

As a Staff Machine Learning Engineer, you will be responsible for designing and developing models that power our recommendation systems for our various messaging channels. In this rare opportunity, you will have the chance to shape the vision for our product and lead executions of ML engineering solutions that span teams and organizations at Reddit. You will partner with a talented cross-functional team of data scientists, engineers, product managers, and domain experts to deliver business impact with these strategies and solutions.

Responsibilities:

• Identify and implement impactful Machine Learning (ML) models for recommendations in greenfield areas under a multimodal approach.
• Be a thought leader for stakeholders and cross-functional collaborators to define and drive multi-year roadmaps for ML systems and infrastructure that can support growing our messaging needs.
• Lead the roadmap, goal setting and technical direction for the team. 
• Uplevel the greater team through sharing knowledge and guiding thought on the adoption of new ML methodologies.
• Mentor and coach engineers on the team to be the best version of themselves. 

Qualifications:

• Extensive experience in ML engineering for production grade systems that require skills in large-scale distributed data processing and model training.
• Experience building recommender systems, search or content understanding models for consumer products.
• Familiarity with common ML and DL frameworks such as PyTorch or Tensorflow.
• Results-oriented with a strong customer and business focus.
• Entrepreneurial and self-directed, innovative, biased towards action in fast-paced environments.
• Ability to communicate and discuss complex topics with technical and non-technical audiences.