Staff Machine Learning Engineer, Location

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.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends that basically are family).

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above.

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.

For candidates based in the US, the salary range for this position is $175,500 to $258,500 USD. For candidates based out of Canada, the salary range for this position is $197,500 to $233,500 CAD. We take into consideration an individual's background and experience in determining final salary - therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

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

• Programming & Software Engineering – Proficiency in Python & SQL, 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.

• Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics, Data Science, or a related technical field — or equivalent practical 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 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

Life360 Values

Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference

• Be a Good Person - We have a team of high integrity people you can trust.

• Be Direct With Respect - We communicate directly, even when it’s hard.

• Members Before Metrics - We focus on building an exceptional experience for families.

• High Intensity, High Impact - We do whatever it takes to 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. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

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. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying!

#LI-Remote

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