Life360 · 7 hours ago
Staff Machine Learning Engineer, Location
United States
Full-time
Remote
Lead/Staff
$176K/yr - $290K/yr
8+ years expLife360 is a company focused on keeping families connected through innovative mobile applications and tracking devices. The Staff Machine Learning Engineer will architect the intelligence layer for the Location Platform, influencing core experiences related to location alerting, sharing, and mobility.
AndroidAppsFamilyMobileMobile Apps
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
Qualification
Required
8+ years of experience building and shipping ML-powered systems
Proficiency in Python & SQL, 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
Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, Data Science, or a related technical field — or equivalent practical experience
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
Company
Life360
Life360 creates a mobile app for families that helps families feel closer together.
501-1000 employees
H1B Sponsorship
Life360 has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (15)
2024 (22)
2023 (17)
2022 (21)
2021 (17)
2020 (7)
Funding
Current Stage
Public CompanyTotal Funding
$460.24MKey Investors
Bryant Stibel InvestmentsRegal Funds ManagementDCM Ventures
2025-06-03Post Ipo Debt· $320M
2022-11-21Post Ipo Equity· $33.04M
2021-06-29Post Ipo Equity· $2.1M
Leadership Team
Chris Hulls
Co-Founder and Executive Chairman
Justin Moore
Chief Technology Officer
Recent News
MarketScreener
2026-01-06
2026-01-06
2026-01-05
Company data provided by crunchbase