Staff Machine Learning Engineer, LocationNew

Life360; Kansas; Remote; USD 175,000 - 259,000; Full time

Job summary

A leading family safety technology firm is seeking a Staff Machine Learning Engineer to join their Location Platform team. This role involves designing end-to-end ML systems to enhance user experiences and ensure safety. The ideal candidate has over 8 years of experience in building scalable ML systems, Python proficiency, and a collaborative mindset. The position is remote-friendly, offering competitive compensation and a comprehensive benefits package.

Benefits

Medical, dental, and vision insurance

401(k) with company match

Flexible PTO

Mental Wellness Program

Qualifications

• 8+ years of experience building and shipping ML-powered systems.
• Strong coding practices and version control.
• Experience with low-latency and high-availability ML systems.

Responsibilities

• Design and lead end-to-end ML systems for real-world movement.
• Partner with Data Science to translate research into scalable production.
• Build and maintain ML pipelines from signal ingestion to real-time inference.

Skills

Machine Learning algorithms

Python proficiency

Problem-solving mindset

Collaboration and communication

Security and privacy awareness

Tools

AWS

GCP

Azure

Job description

Overview

Life360’s mission is to keep people close to the ones they love. Our mobile app and location-based services empower members to protect the people, pets, and things they care about most with features such as location sharing, safety reports, and crash detection with emergency dispatch. Life360 serves approximately 88 million monthly active users across more than 180 countries.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter. We have more than 500 remote-first employees.

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 fast, insightful, location-forward experiences that drive loyalty and engagement. We build and maintain a robust foundation that enables us to rapidly deliver value for our members, powering the direct app experience and innovative products across Life360. We obsess over performance to ensure a reliable, scalable platform for 80M+ global members.

About the Job

At Life360, location is 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 influence core experiences around location alerting, sharing, and mobility—crucial for how users understand, trust, and engage with our platform.

This is a hands-on technical role. You’ll collaborate with our Director of Location Engineering and contribute to a long-term strategic vision of an intelligent, adaptive location platform.

Salary ranges: US: $175,500 to $258,500 USD; Canada: $197,500 to $233,500 CAD. Final offers depend on background and experience. The compensation package includes medical/dental/vision, benefits, and equity.

What You’ll Do

• Design and lead end-to-end ML systems that enhance understanding of real-world movement and context, including destination inference, anomaly detection, and modality prediction.
• Partner with Data Science to translate 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 to ensure intelligence translates into clarity, safety, and trust in our mobile experience.
• Champion operational excellence with model monitoring, drift detection, and continuous improvement loops.
• Contribute to architectural strategy alongside engineering leadership to ensure ML systems are extensible and aligned with long-term platform vision.
• Mentor and multiply—help elevate ML and engineering craft across the Location team.

Who You’ll Work With

• Location Engineers delivering performant, high-integrity location data at scale.
• Data Scientists researching and prototyping spatiotemporal inference.
• Product, Design, and Infrastructure partners enabling user-centric experiences.
• Engineering Leadership driving platform capability, scalability, and innovation.

What We’re Looking For

• 8+ years of experience building and shipping ML-powered systems
• Programming & Software Engineering – Python proficiency, strong coding practices, version control, CI/CD
• Machine Learning Algorithms – Supervised, unsupervised, deep learning, recommendation, and NLP methods
• System Design & Scalability – Low-latency, high-availability ML systems; distributed computing
• Cloud & Infrastructure – AWS, GCP, or Azure 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
• Benefits include medical, dental, vision, life and disability insurance; 401(k) with company match
• Mental Wellness Program & Employee Assistance Program (EAP)
• Flexible PTO; company-wide days off
• Remote-friendly tooling support and equipment reimbursement

Life360 Values

• Be a Good Person
• Be Direct With Respect
• Members Before Metrics
• High Intensity, High Impact

Our Commitment to Diversity

We are an equal opportunity employer and value diversity. 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. Even if you don’t meet 100% of the below qualifications, you should still consider applying.