Life360 is looking to solve the problem of delivering peace of mind and enhancing everyday family life through seamless coordination and location-forward experiences, by building a best-in-class app powered by fast, insightful, and delightful location experiences.
Requirements
- Programming & Software Engineering – Proficiency in Python, strong coding practices, version control, CI/CD.
- Machine Learning Algorithms – Knowledge of supervised, unsupervised, deep learning, recommendation, and NLP methods.
- Data Handling – Feature engineering, big data tools (Spark, Hadoop)
- ML Ops & Deployment – Model serving, monitoring, pipelines, containerization (Docker, Kubernetes), MLflow/SageMaker.
- System Design & Scalability – Building low-latency, high-availability ML systems; distributed computing.
- Experimentation & Evaluation – A/B testing, metrics selection, model validation, drift detection.
- Cloud & Infrastructure – AWS, GCP, or Azure services for ML; APIs and microservices integration.
Responsibilities
- 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.
Other
- 8+ years of experience building and shipping ML-powered systems
- Collaboration & Communication – Partnering with product, data science, and engineering teams; translating ML into business impact.
- Problem-Solving Mindset – Selecting appropriate ML techniques, balancing accuracy, interpretability, and cost.
- Security & Privacy Awareness – Data compliance, ethical AI practices, privacy-preserving ML methods.
- Competitive pay and benefits, including medical, dental, vision, life and disability insurance plans
