Staff Machine Learning Engineer, Revenue

Life360

85d • $175,500 - $258,500

About The Position

The newly formed AI Growth Enablement team sits at the intersection of Product, Data Science, and Engineering. Our charter is to unlock step-function growth in users, subscribers, and revenue by building shared AI/ML capabilities — including but not limited to experimentation and automation tools, generative AI models, predictive-model APIs, and self-serve tooling—that accelerate decision-making, experimentation and automation across multiple product teams. You’ll partner closely with Data Scientists and other Cloud engineers in the Growth organization, as well as Data Analysis teams and mobile engineers, to turn data and models into delightful, effective experiences at scale, and to empower each team to leverage AI/ML in the most effective way to drive user and revenue growth. Come join us as we build the infrastructure to handle our ever growing user base. We will continue to break down our monolith in favor of microservices that service our mobile clients today. You will be working alongside our Architecture and Product teams to move fast as we expand the business to build a recommendation engine that empowers rapid experimentation. Together, we will build systems that are strong and reliable to uphold a heavy load, yet malleable to fit many product demands.

Requirements

• Bachelor’s degree in Computer Science, Machine Learning, Applied Math, or a similar quantitative field—or equivalent industry experience
• 8+ years of experience building and shipping ML-powered systems
• Strong proficiency in Python or Java, model development libraries (e.g. PyTorch, TensorFlow, scikit-learn), SQL, and ML Ops tools
• Experience with serving ML models behind scalable APIs with low-latency performance requirements
• Ability to design, build, and manage real-time and batch data pipelines, ideally in collaboration with Data Engineering
• Knowledge of experiment design, A/B testing, and causal inference methods for ML product validation - bonus if you have experience with StatSig
• Familiarity with microservices architecture, containerization (Docker, Kubernetes), and modern deployment pipelines
• Comfortable collaborating cross-functionally with mobile, backend, and data platform teams

Nice To Haves

• Experience building recommendation systems or ranking models
• Experience integrating models into mobile client applications
• Familiarity with streaming systems like Kafka
• Experience working with Kafka Streams

Responsibilities

• Partner with Product, Data Science, and Cloud Engineering to design and deploy ML models that power personalization, experimentation, and automation use cases
• Build, productionize, and maintain real-time model APIs for recommendations, predictive targeting, and generative AI experiences
• Work with backend and mobile engineers to integrate model outputs directly into user-facing features
• Contribute to the development of self-serve ML infrastructure to accelerate experimentation across product teams
• Design and implement feature pipelines, model training workflows, and scalable inference systems
• Collaborate on our long-term vision for a flexible, extensible ML platform that supports multiple use cases across Growth and Core product teams
• Monitor and maintain model health, performance, and drift in production
• Build the recommendation engine that helps Life360 surface the most relevant feature or plan to the right user at the right time
• Deploy an ML model to predict the optimal moment to nudge a user to subscribe to Premium
• Create infrastructure for personalized notifications that adapt in real time to user behavior
• Monitor health, suggest improvements for and deploy your own services
• Mentor other developers who are trying to grow
• Build technical specs with other Staff engineers
• Handle on call rotation and address live incidents

Benefits

• Competitive pay and benefits
• Medical, dental, vision, life and disability insurance plans (100% paid for employees)
• 401(k) plan with company matching program
• Mental Wellness Program & Employee Assistance Program (EAP) for mental well being
• Flexible PTO, 13 company wide days off throughout the year
• Winter and Summer Week-long Synchronized Company Shutdowns
• Learning & Development programs
• Equipment, tools, and reimbursement support for a productive remote environment
• Free Life360 Platinum Membership for your preferred circle
• Free Tile Products

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 251-500 employees