Staff Machine Learning Engineer, Location

Staff Machine Learning Engineer, Location Join to apply for the Staff Machine Learning Engineer, Location role at Life360 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 (MAU), as of September 30, 2025, across more than 180 countries. About The Team The Location Platform team supports our mission to deliver peace of mind and make everyday family life better through a best‑in‑class app—uniquely powered by fast, insightful, and delightful location‑forward experiences that drive lasting loyalty and ongoing engagement. We build and maintain a robust foundation that enables us to rapidly deliver exceptional value, quality, and delight to our members. This includes the precise collection and delivery of location and sensor data from member devices, powering the direct app experience and the development of innovative products across Life360. We obsess over performance—continuously measuring and improving key metrics to ensure a reliable, seamless, and scalable platform for our 80M+ global members. About The Job At Life360, location isn’t just a feature – it’s the foundation. As a Staff Machine Learning Engineer on the Location Platform team, you’ll architect the intelligence layer behind that foundation. Your work will directly influence core experiences around location alerting , sharing , and mobility – each playing a critical role in how users understand, trust, and engage with our platform. This is a hands‑on technical role . You’ll collaborate closely with our Director of Location Engineering and act as a key contributor in realizing the long‑term strategic vision of a location platform that is intelligent, adaptive, and always a step ahead. What You’ll Do Design and lead end‑to‑end ML systems that enhance our understanding of real‑world movement and context, including destination inference, anomaly detection, and modality prediction. Partner with Data Science to translate advanced modeling research into scalable production systems. Define instrumentation, evaluate performance, and guide experimentation. Build and maintain ML pipelines, from signal ingestion and feature engineering through training, deployment, and real‑time inference at scale. Integrate ML into user‑facing features, ensuring that intelligence translates into clarity, safety, and trust within our mobile experience. Champion operational excellence, owning system health through model monitoring, drift detection, and continuous improvement loops. Contribute to architectural strategy alongside engineering leadership, ensuring our ML systems are extensible, maintainable, and aligned with long‑term platform vision. Mentor and multiply—help elevate the ML and engineering craft across the broader Location team. Who You’ll Work With Location Engineers focused on delivering performant, high‑integrity location data at scale. Data Scientists researching and prototyping the next generation of spatiotemporal inference. Product, Design, and Infrastructure partners bringing user‑centric experiences to life. Engineering Leadership driving strategic investment in platform capability, scalability, and innovation. What We’re Looking For 8+ years of experience building and shipping ML‑powered systems. Proficiency in Python, SQL, strong coding practices, version control, and CI/CD. Knowledge of supervised, unsupervised, deep learning, recommendation, and NLP methods. Feature engineering, big data tools (Spark, Hadoop). Model serving, monitoring, pipelines, containerization (Docker, Kubernetes), MLflow/SageMaker. Building low‑latency, high‑availability ML systems; distributed computing. Experimentation, metrics selection, model validation, drift detection. Experience with AWS, GCP, or Azure ML services; APIs and microservices integration. Strong communication and partnership skills across product, data science, and engineering teams. Problem‑solving mindset focusing on accuracy, interpretability, and cost. Data compliance, privacy‑preserving ML practices. Bachelor’s degree in CS, EE, Math, Stats, Data Science, or equivalent experience. Our Benefits Competitive pay and benefits. Medical, dental, vision, life and disability insurance plans (100% paid for employees). 401(k) plan with company matching. Mental Wellness Program & Employee Assistance Program. Flexible PTO, 13 company‑wide days off. Winter and Summer week‑long 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. Life360 Values Be a Good Person – high integrity. Be Direct With Respect – direct communication. Members Before Metrics – focus on exceptional experience. High Intensity, High Impact – get the job done. Our 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. Equal Opportunity Employer We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, 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 create a foundation for the best ideas. Come join us in building something meaningful. #J-18808-Ljbffr