Senior/Lead Machine Learning Engineer, Flo

• 4+ years of experience in machine learning, with a focus on recommender systems
• Strong knowledge of classical machine learning and neural networks
• Proven experience deploying ML models in production systems
• Strong computer science foundation
• Strong Python programming skills
• Experience building and managing data pipelines to operate on Big Data using distributed computing or streaming frameworks
• Excellent communication skills and ability to collaborate with diverse teams
• Experience navigating high-impact systems under challenging circumstances

Desirable

• As a Machine Learning Engineer in the Engagement tech team at Flo, you will play a critical role in enhancing customer experiences through advanced machine learning algorithms
• You will be part of a dynamic and cross-functional team focused on improving relevance and personalization by leveraging cutting-edge recommender systems
• Your expertise will help us tackle complex technical challenges while driving impactful solutions that meet our business objectives
• Design, develop, and deploy machine learning algorithms to enhance relevance and personalization within our marketing initiatives, primarily focusing on recommender systems that directly influence user engagement
• Navigate ambiguity to identify and prioritize the most impactful areas across the company where machine learning can be applied effectively
• Your efforts will focus on uncovering opportunities for recommender systems that can deliver significant improvements in customer experience
• Work closely with multiple domain teams, including analytics, engineering, product management, and UX/UI design. Leverage diverse perspectives to ensure seamless integration of machine learning solutions that align with business goals
• Address technical challenges related to dependencies between different components and teams. Ensure that machine learning models are integrated smoothly into existing infrastructure while maintaining scalability and maintainability
• Analyze and preprocess large datasets to create a structured format suitable for model training. Identify opportunities for data enrichment and improvement to enhance model performance
• Continuously evaluate the effectiveness of implemented models. Utilize A/B testing and other methodologies to measure performance, iterating based on feedback and results to optimize outcomes
• Maintain comprehensive documentation of methodologies and processes while fostering a culture of knowledge sharing within the team to promote best practices and facilitate onboarding