Staff Machine Learning Engineer, Location

Life360

83d • $175,500 - $258,500

About The Position

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.

Requirements

• 8+ years of experience building and shipping ML-powered systems
• Proficiency in Python, strong coding practices, version control, 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.
• A/B testing, metrics selection, model validation, drift detection.
• AWS, GCP, or Azure services for ML; APIs and microservices integration.
• Partnering with product, data science, and engineering teams; translating ML into business impact.
• Selecting appropriate ML techniques, balancing accuracy, interpretability, and cost.
• Data compliance, ethical AI practices, privacy-preserving ML methods.

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.

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
• Number of Employees: 251-500 employees