Staff Machine Learning Engineer, Revenue

October 13

Apply Now
Logo of Life360

Life360

B2C • Safety • Telecommunications

Life360 is a leading family safety app that offers a comprehensive suite of services for location and digital safety. With Life360, users can effortlessly share their location, track their phones, and manage driving safety measures, including crash detection and 24/7 roadside assistance. The app includes features for digital safety, such as identity theft protection and SOS alerts, ensuring protection and prevention for each family member. Life360's plans, which include free, Gold, and Platinum options, are designed to accommodate various needs, offering peace of mind with advanced safety and coordination tools. The app is trusted by millions of users and is highly rated on app stores for its efficiency and reliability in connecting family members and ensuring their safety.

201 - 500 employees

Founded 2008

👥 B2C

📡 Telecommunications

💰 Post-IPO Equity on 2022-11

📋 Description

• 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

🎯 Requirements

• 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

Apply Now

Similar Jobs

October 3

Principal Machine Learning Engineer developing advanced multimodal foundational technologies for Zillow's AI team. Prototyping and deploying models in a customer-focused, innovative environment.

September 27

Lead development of ranking, search, and personalization ML models at Headway, improving patient-provider matching and ML infrastructure.

Python

PyTorch

Scikit-Learn

Tensorflow

September 25

Lead ML strategy and architect scalable MLOps systems; mentor teams and deliver Workiva’s Generative AI platform via cloud APIs.

AWS

Cloud

Docker

Java

Kubernetes

Python

Go

September 24

Lead design and scaling of ML systems for personalization, search, and ad tech. Mentor engineers and drive zero-to-one ML initiatives at Fetch, America's Rewards App.

Distributed Systems

September 16

Lead ML strategy for Search and build scalable generative recommender systems at Spotify.

Java

Python

PyTorch

Scala

Tensorflow

Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com