Staff Machine Learning Engineer, Revenue

Life360

full-time

Posted on: 10/13/2025

Location Type: Remote

Location: Remote • California • 🇺🇸 United States

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💰 $175,500 - $258,500 per year

Lead

AWSCloudDockerDynamoDBEC2JavaKafkaKubernetesMicroservicesMySQLPHPPythonPyTorchScikit-LearnSQLTensorflow

About the role

Partner with Product, Data Science, and Cloud Engineering to design and deploy ML models that power personalization, experimentation, and automation use cases
Build, productionize, and maintain real-time model APIs for recommendations, predictive targeting, and generative AI experiences
Work with backend and mobile engineers to integrate model outputs directly into user-facing features
Contribute to the development of self-serve ML infrastructure to accelerate experimentation across product teams
Design and implement feature pipelines, model training workflows, and scalable inference systems
Collaborate on our long-term vision for a flexible, extensible ML platform that supports multiple use cases across Growth and Core product teams
Monitor and maintain model health, performance, and drift in production
Example: Build the recommendation engine that helps Life360 surface the most relevant feature or plan to the right user at the right time
Example: Deploy an ML model to predict the optimal moment to nudge a user to subscribe to Premium
Example: Create infrastructure for personalized notifications that adapt in real time to user behavior
Monitor health, suggest improvements for and deploy your own services
Mentor other developers who are trying to grow
Build technical specs with other Staff engineers
Handle on call rotation and address live incidents

Bachelor’s degree in Computer Science, Machine Learning, Applied Math, or a similar quantitative field—or equivalent industry experience
8+ years of experience building and shipping ML-powered systems
Strong proficiency in Python or Java, model development libraries (e.g. PyTorch, TensorFlow, scikit-learn), SQL, and ML Ops tools
Experience with serving ML models behind scalable APIs with low-latency performance requirements
Ability to design, build, and manage real-time and batch data pipelines, ideally in collaboration with Data Engineering
Knowledge of experiment design, A/B testing, and causal inference methods for ML product validation - bonus if you have experience with StatSig
Familiarity with microservices architecture, containerization (Docker, Kubernetes), and modern deployment pipelines
Comfortable collaborating cross-functionally with mobile, backend, and data platform teams
Bonus: Experience building recommendation systems or ranking models
Bonus: Experience integrating models into mobile client applications
Bonus: Familiarity with streaming systems like Kafka
Bonus for experience working with Kafka Streams
At Life360 we use certain technologies, experience with these technologies will serve you well: AWS (EC2, EKS, DynamoDB, Kinesis), databases (MySql), Languages (Java, Python, PHP)

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

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonJavaPyTorchTensorFlowscikit-learnSQLML Opsreal-time data pipelinesbatch data pipelinesA/B testing

collaborationmentoringcommunicationproblem-solvingcross-functional teamwork