Senior Machine Learning Engineer IINew

Life360; Canada; Remote; CAD 176,000 - 206,000; Full time

Job summary

A technology company specializing in AI solutions is seeking a talented ML Engineer to design and deploy machine learning models for improving user experience and driving growth. The ideal candidate will have over 5 years of experience in building and deploying ML models and strong proficiency in Python or Java. This role offers competitive compensation and supports remote work options.

Benefits

Medical, dental, and vision benefits

Equity in the company

Flexible working hours

Qualifications

• 5+ years of professional experience in building and deploying ML models in production.
• Experience with serving ML models behind scalable APIs with low-latency performance requirements.
• Knowledge of experiment design, A/B testing, and causal inference methods for ML product validation.

Responsibilities

• Partner with Product, Data Science, and Cloud Engineering to design and deploy ML models.
• Build and maintain real-time model APIs for recommendations and automation use cases.
• Contribute to the development of self-serve ML infrastructure.

Skills

Machine Learning

Python

Java

ML Ops

Data Engineering

Microservices architecture

Containerization

Kafka

Education

Bachelor’s degree in Computer Science or equivalent

Tools

AWS

Docker

Kubernetes

PyTorch

TensorFlow

scikit-learn

Job description

About the Job

The newly formed AI Growth Enablement team sits at the intersection of Product, Data Science, and Engineering. Our charter is to unlock step-function growth in users, subscribers, and revenue by building shared AI/ML capabilities — including but not limited to experimentation and automation tools, generative AI models, predictive-model APIs, and self-serve tooling—that accelerate decision-making, experimentation and automation across multiple product teams. You’ll partner closely with Data Scientists and other Cloud engineers in the Growth organization, as well as Data Analysis teams and mobile enigneers, to turn data and models into delightful, effective experiences at scale, and to empower each team to leverage AI/ML in the most effective way to drive user and revenue growth.

Come join us as we build the infrastructure to handle our ever growing user base. We will continue to break down our monolith in favor of microservices that service our mobile clients today. You will be working alongside our Architecture and Product teams to move fast as we expand the business to build a recommendation engine that empowers rapid experimentation.

Together, we will build systems that are strong and reliable to uphold a heavy load, yet malleable to fit many product demands.

For candidates based in the US, the salary range for this position is $155,000 to $228,000 USD. For candidates based out of Canada, the salary range for this position is $176,000 to $206,000 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

• 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 Staff engineers
• Handle on call rotation and address live incidents

What We’re Looking For

• Bachelor’s degree in Computer Science, Machine Learning, Applied Math, or a similar quantitative field—or equivalent industry experience
• 5+ years of professional experience in building and deploying ML models in production
• Strong proficiency in Python or Java, model development libraries (e.g. PyTorch, TensorFlow, scikit-learn), and ML Opstools
• 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)

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.

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