Staff Machine Learning Engineer, Revenue

Staff Machine Learning Engineer, Revenue About Life360 Life360’s mission is to keep people close to the ones they love. Our category‑leading mobile app and Tile tracking devices empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 91.6 million monthly active users across more than 180 countries. About the Job 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. We will continue to break down our monolith in favour of microservices that service our mobile clients today, building a recommendation engine that empowers rapid experimentation and a strong, reliable infrastructure. Salary For candidates based in the US, the salary range for this position is $175,500 to $258,500 USD. For candidates based out of Canada, the salary range is $197,500 to $233,500 CAD. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity. Responsibilities Partner with Product, Data Science, and Cloud Engineering to design and deploy ML models that power personalization, experimentation, and automation use cases Build, productionise, 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 a 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 behaviour Mentor other developers who are trying to grow Build technical specs with other Staff engineers Handle on‑call rotation and address live incidents Qualifications 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 (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 experienced with StatSig) Familiarity with microservices architecture, containerisation (Docker, Kubernetes), and modern deployment pipelines Comfortable collaborating cross‑functionally with mobile, backend, and data platform teams Bonus: Experience building recommendation systems or ranking models Bonus: Experience integrating models into mobile client applications Bonus: Familiarity with streaming systems like Kafka or Kafka Streams Experience with AWS services (EC2, EKS, DynamoDB, Kinesis), MySQL, Java, Python, PHP is preferred 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 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 Values Be a Good Person – high integrity team members you can trust Be Direct With Respect – honest communication even when it’s hard Members Before Metrics – focus on building an exceptional experience for families High Intensity, High Impact – do whatever it takes to get the job done Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences creates a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying. #J-18808-Ljbffr