Staff Machine Learning Engineer

October 3

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Life360

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B2C • Safety • Telecommunications

Life360 is a leading family safety app that offers a comprehensive suite of services for location and digital safety. With Life360, users can effortlessly share their location, track their phones, and manage driving safety measures, including crash detection and 24/7 roadside assistance. The app includes features for digital safety, such as identity theft protection and SOS alerts, ensuring protection and prevention for each family member. Life360's plans, which include free, Gold, and Platinum options, are designed to accommodate various needs, offering peace of mind with advanced safety and coordination tools. The app is trusted by millions of users and is highly rated on app stores for its efficiency and reliability in connecting family members and ensuring their safety.

201 - 500 employees

Founded 2008

👥 B2C

📡 Telecommunications

💰 Post-IPO Equity on 2022-11

📋 Description

• 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.

🎯 Requirements

• 8+ years of experience building and shipping ML-powered systems • 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. • 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.

🏖️ 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