Staff Machine Learning Engineer, Location

Life360; United States; Remote; USD 175,000 - 259,000; Full time

Job summary

A leading technology company is seeking a Staff Machine Learning Engineer to architect intelligence systems for location features. This remote role emphasizes collaboration in a growing team focused on delivering high-quality services. The candidate must have over 8 years of experience in ML systems, strong programming skills in Python, and a proactive, problem-solving mindset. Compensation ranges from $175,500 to $258,500 annually for US candidates.

Qualifications

• 8+ years of experience building and shipping ML-powered systems.
• Proficiency in Python, strong coding practices, version control, CI/CD.
• Knowledge of supervised, unsupervised, and deep learning methods.

Responsibilities

• Design and lead end-to-end ML systems enhancing real-world movement.
• Build and maintain ML pipelines from ingestion to real-time inference.
• Integrate ML into user-facing features ensuring clarity and safety.

Skills

Programming & Software Engineering

Machine Learning Algorithms

System Design & Scalability

Cloud & Infrastructure

Collaboration & Communication

Problem-Solving Mindset

Security & Privacy Awareness

Tools

Python

AWS

GCP

Azure

Job description

Staff Machine Learning Engineer, Location

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 88 million monthly active users (MAU), as of June 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.

Salary Range: $175,500 to $258,500 USD for US-based candidates, $197,500 to $233,500 CAD for Canada-based candidates.

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, strong coding practices, version control, CI/CD.
• Machine Learning Algorithms – Knowledge of supervised, unsupervised, deep learning, recommendation, and NLP methods.
• System Design & Scalability – Building low-latency, high-availability ML systems; distributed computing.
• 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.

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.

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.