Staff Software Engineer, Machine Learning

Attentive is an AI marketing platform that focuses on 1:1 personalization, redefining brand and customer connections. The Senior Machine Learning Engineer will be responsible for building, scaling, and operating production-grade ML systems to drive real-time personalization across the platform.

Responsibilities:

• You have a proven track record of building systems that maintain a high bar of quality
• You deeply loathe regressions and take proactive steps to protect against them through a variety of testing techniques
• You are a collaborator, technical leader, and a great communicator
• You are constantly improving the quality of the project you are working on, both via direct contributions as well as long-term advocacy for larger-scale changes
• You are enthusiastic about the high impact, fast-paced work environment of an late-stage startup

Requirements:

• 10+ years experience is ideal
• You have worked professionally building systems for 6+ years with experience on a single system long enough to see the consequences of your decisions
• Experience with TensorFlow/Pytorch, xgboost, pandas, matplotlib, SQL, Spark or similar tools
• You have proficiency or experience with Python
• You have extensive experience using machine learning and data analysis, or similar, to build scalable systems and data-driven products, working with cross-functional teams
• You have a proven track record of building scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation from modern research
• You have led cross-functional machine learning projects across teams
• You have a proven track record of building systems that maintain a high bar of quality
• You deeply loathe regressions and take proactive steps to protect against them through a variety of testing techniques
• You are a collaborator, technical leader, and a great communicator
• You are constantly improving the quality of the project you are working on, both via direct contributions as well as long-term advocacy for larger-scale changes
• You are enthusiastic about the high impact, fast-paced work environment of an late-stage startup