About Life360 Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app Tile tracking devices and Pet GPS tracker 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 102.4 million monthly active users (MAU) as of June 30 2026 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 who are basically 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. We are AI Native We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools discuss how you leverage AI or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process. Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. About The Team Data Science and Machine Learning (DSML) at Life360 is a lean high-impact matrixed team with individuals embedded in business units and working cross-functionally with Product Analytics Engineering and business stakeholders. We are dedicated to enhancing and optimizing the user experience accelerating growth and generating revenue through subscriptions partnerships and ads. We leverage a variety of technical skills and tools including experimentation offline and online ML online learning and agentic AI (AI-Native development) to deliver exceptional customer value.
We are seeking a highly motivated and skilled Senior II MLOps Engineer. In this role you will bridge the critical gap between machine learning model development and core system operations. You will be responsible for designing building and scaling the infrastructure and automated pipelines required to reliably train deploy and monitor our machine learning models in production environments. You will join a fast-paced collaborative team of data scientists data engineers and software architects. In this position you will be empowered to mature our CI/CD systems optimize distributed infrastructure and directly impact the reliability and scale of our core AI-driven products. This role requires strong technical expertise and practical experience in deploying machine learning inferences and models as well as the ability to collaborate with cross-functional teams to drive measurable business outcomes. For candidates based in the US the salary range for this position is $148000 to $216000 USD. For candidates based out of Canada the salary range for this position is $171500 to 201000 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.
Pipeline Automation Design implement and manage automated CI/CD and Continuous Training (CT) pipelines for machine learning model development evaluation and delivery. Model Deployment Containerize deploy and scale machine learning models as high-availability microservices or batch processing workflows. Observability & Monitoring Establish unified logging alerting and monitoring solutions to track model inference performance system latency resource utilization data drift and concept drift. Infrastructure Management Provision and optimize cloud-based ML infrastructure (including GPU/CPU computing clusters) utilizing Infrastructure as Code (IaC) paradigms. Cross-Functional Collaboration Work intimately with product development teams to drive infrastructure adoption and efficiency gains through SDK/API development automation and efficient ML system maintenance. Governance & Compliance Implement robust lineage tracking for data code and model artifacts to ensure compliance reproducibility and security across the entire ML lifecycle. Data Infrastructure & Tooling Work with data engineering to improve the data ecosystem ensuring robust scalable pipelines for experimentation and ML (including streaming tools like Kafka and Flink for low-latency online inference). Thought Leadership Act as a mentor and thought leader helping to define best practices in machine learning engineering scalable ML service ops and agentic AI (AI-Native) best practices.
Desired
Professional Experience 5+ years of professional software engineering DevOps or data engineering experience with at least 2 years dedicated to building and maintaining MLOps infrastructure. Programming Mastery Strong proficiency in Python including deep familiarity with software engineering best practices (unit testing modular design version control via Git). Orchestration & Containerization In addition to hands-on experience with containerization (Docker) and container orchestration platforms specifically Kubernetes (EKS GKE or native clusters) experience with related tools like FastAPI. MLOps and Datastore Tooling Proven familiarity with specialized ML lifecycle and data processing tools and platforms such as MLflow Kubeflow SparkML Synapse ML SQL Spark/PySpark dbt and Airflow. Cloud Foundations Practical experience operating within a major cloud ecosystem—e.g. AWS GCP Databricks—with a clear grasp of cloud networking security and storage tiers. Strong communication and project leadership skills with the ability to influence cross-functional teams. Educational Background Bachelor’s or Master’s degree in Computer Science Data Science Software Engineering or a closely related quantitative field.
Advanced Tooling Experience implementing and scaling production feature stores (e.g. Feast Tecton) and model registries. Generative AI & LLMs Prior experience deploying and optimizing Large Language Models (LLMs) or foundation models utilizing serving frameworks like vLLM Triton Inference Server or TGI. Infrastructure as Code Proficient with IaC frameworks particularly Terraform to manage reproducible environments. Data Frameworks Familiarity with distributed data computation engines such as Apache Spark Ray or Dask. Industry Certifications Relevant cloud or architecture credentials such as AWS Certified Machine Learning Specialty Google Cloud Professional Machine Learning Engineer or Certified Kubernetes Administrator (CKA). Experience in subscription-based products lifecycle marketing or user acquisition. Experience with geospatial data and mobile location-based services. Experience in the consumer technology sector particularly within a fast-paced and sometimes ambitious development setting. Core Expectations Problem-solving mindset - You structure ambiguous problems precisely before reaching for a tool AI or otherwise Collaborative approach - You can explain technical tradeoffs and articulate ideas effectively work well across teams and value diverse perspectives Ownership mentality - You take responsibility for your work from design through production and beyond AI-native working style - You use AI tooling (Claude Code or equivalent) as a genuine development partner delegating discrete tasks reviewing outputs critically and running parallel workstreams rather than hand-holding one agent at a time We believe culture fit and problem-solving ability matter more than checking every technical box. We're happy to help you grow into areas where you have less experience. Our
Medical dental vision life and disability insurance plans (100% paid for US employees).
life and disability as well as supplemental plans for medical and dental for Canadian employees. 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees. Paid parental leave Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being Generous time off flexible PTO companywide holidays throughout the year plus summer and winter shutdowns Learning & Development programs Equipment tools and reimbursement support for a productive remote environment. Free Life360 Platinum Membership Tile trackers 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. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications you should still seriously consider applying! LI-Remote ____________________________________________________________________________
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