Senior Staff Machine Learning Engineer at Patreon developing large-scale ML systems for search and recommendations. Mentoring ML engineers and collaborating on cross-functional technical strategies.
Responsibilities
Define and lead the technical direction for Patreon’s recommendation and search systems.
Architect large-scale ML systems that determine what fans see, how they discover creators, and how creators grow their audiences.
Own projects from prototype to production, including the data, modeling, and backend components.
Build tools and simple frontend prototypes to visualize model results and demonstrate how relevance models surface in the product.
Mentor other ML engineers, influence multi-team technical strategy, and collaborate with cross-functional leaders across Product, Data Science, and Infrastructure.
Requirements
8+ years of professional experience in applied machine learning, with a focus on search, ranking, or recommendation systems.
Proven experience designing and deploying production ML systems serving millions of users.
Strong programming skills in Python.
Proficiency in backend development and experience integrating ML systems into production environments.
Ability to prototype or visualize ML outputs in interactive UI contexts to help teams interpret model impact.
Expertise in building and maintaining data pipelines, feature stores, and model observability systems.
Deep understanding of embedding-based retrieval, ranking algorithms, and personalization architectures.
Strong collaboration skills — able to partner effectively with engineers, designers, and PMs.
Experience mentoring senior engineers and driving cross-team technical alignment.
Master’s or PhD in Computer Science, Machine Learning, or related field, or equivalent experience.
Senior Software Developer working on ML Infrastructure and Deployment at Verafin. Helping develop cutting - edge fraud detection tools alongside analytics teams using AWS and Terraform.
Machine Learning Engineer developing advanced SLAM systems for autonomous trucking environments at Bot Auto. Collaborating with cross - functional teams to optimize mapping solutions and ensure operational stability.
Graduate Deep Learning Algorithm Developer developing perception technologies for autonomous driving. Tackling challenges in object detection and 3D perception using state - of - the - art deep learning models.
Principal AI/ML Engineer leading the AI/ML infrastructure development for WEX's risk service needs. Focused on innovative engineering and technology solutions within a high - stakes environment.
AI/ML Engineer developing solutions in artificial intelligence for HPE. Responsible for conducting research, designing AI solutions, and mentoring team members.
Machine Learning Engineer focusing on modeling cancer cells and developing related tools. Collaborating with researchers and scientists to advance cancer treatment through ML.
Machine Learning Engineer II developing production - grade ML models for fraud detection at GEICO. Collaborating on system architecture and ensuring optimal performance of fraud assessment systems.
AI/ML Engineer III designing and architecting AI solutions at Hewlett Packard Enterprise. Collaborating with teams to drive innovation and tackle complex problems.
AI/ML Engineer deploying state - of - the - art AI models to solve real - world problems at Brain Co. Working in healthcare, government, and energy sectors for impactful results.
Trainer at WeAndTheMany facilitating learning by sharing experiences and creating interactive sessions. Engaging with students to enhance their skills and knowledge through dynamic teaching methods.