Remote Staff Backend Engineer (AI Native), Family AI Lab

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 97.8 million monthly active users (MAU), as of March 31, 2026, across more than 180 countries.

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).

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.

About The Team

The AI Lab is a small, founder-led team operating like a zero-to-one startup inside Life360, building the company's next chapter. Our mission is to transform Life360 from the app you open to find your family into an intelligent operating system families rely on daily.

About the Job

Your role is owning how Life360's deterministic backend (location data, the family graph, behavioral signals, user insights) pairs with the probabilistic world of LLMs. You decide how those two sides talk to each other, and you make sure the seams don't show.

You own the inference pipeline end to end: model selection, serving infrastructure, evaluation loops, prompt and context strategy, and the cloud services that keep it all running in production.

Compensation

For candidates based in the US, the salary range for this position is $190,000 to $280,000 USD. For candidates based out of Canada, the salary range for this position is $220,000 to $260,000 CAD.

What You'll Do

• Architect the inference pipeline that turns Life360 into a context layer LLMs can reason over.
• Choose models, hosting, and decide what is self-hosted, API-based, fine-tuned, or prompt-engineered.
• Build the serving infrastructure, focusing on latency, batching, caching, and graceful degradation.
• Build the eval loop to ensure product improvements are measurable.
• Own the cost model, tracking spend per user, per feature, and per family.
• Define data persistence, summarization, and privacy architecture at the infrastructure layer.

What We're Looking For

• Deep engineering experience building and running AI systems in production at scale.
• Fluent in modern LLM serving (vLLM, TGI, SGLang, hosted APIs).
• Experience building eval harnesses for AI systems.
• Ability to build cloud systems from the ground up.
• Strong opinions on cost management for inference.
• AI-native daily workflow (Claude Code, Cursor, etc.).
• Comfortable operating with incomplete information and moving targets.
• Strong written communication skills.
• Experience with agent systems, retrieval pipelines, or long-context personalization.
• Privacy architecture experience in multi-user systems.

Our Benefits

• Competitive pay and benefits.
• Medical, dental, vision, life and disability insurance plans (100% paid for US employees).
• 401(k) plan with company matching (US) and RRSP with DPSP (Canada).
• Employee Assistance Program (EAP).
• Flexible PTO and 12 company-wide days off.
• Learning & Development programs.
• Equipment and reimbursement support for a remote environment.
• Free Life360 Platinum Membership.

Our Commitment to Diversity

We are an equal opportunity employer and value diversity at Life360. We encourage people of all backgrounds to apply. Even if you don't meet 100% of the qualifications, you should still seriously consider applying!