Staff AI Architect, Family AI Lab

🕒 vor 1 Monat

🇺🇸 Vereinigte Staaten – Remote

💵 $197.000 - $290.000 / Jahr

⏰ Vollzeit

🔴 Experte

🤖 KI-Ingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Life360

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

Gegründet 2008

👥 B2C

📡 Telekommunikation

💰 Post-IPO Equity im 2022-11

B2C • Safety • Telecommunications

Life360 ist eine führende App für Familiensicherheit, die eine umfassende Palette von Diensten für Standort- und digitale Sicherheit bietet. Mit Life360 können Benutzer mühelos ihren Standort teilen, ihre Telefone verfolgen und Sicherheitsmaßnahmen beim Fahren verwalten, einschließlich Unfallerkennung und 24/7 Pannenhilfe. Die App beinhaltet Funktionen zur digitalen Sicherheit, wie Identitätsschutz und SOS-Benachrichtigungen, um Sicherung und Prävention für jedes Familienmitglied zu gewährleisten. Die Pläne von Life360, zu denen kostenlose, Gold- und Platin-Optionen gehören, sind darauf ausgelegt, verschiedene Bedürfnisse zu erfüllen und bieten Sicherheit durch fortschrittliche Sicherheits- und Koordinationstools. Die App wird von Millionen von Nutzern vertraut und ist in den App-Stores für ihre Effizienz und Zuverlässigkeit hoch bewertet, wenn es darum geht, Familienmitglieder zu verbinden und deren Sicherheit zu gewährleisten.

Beschreibung

• Architect the inference pipeline that turns Life360 into a context layer LLMs can reason over: soul files, family context, behavioral signals, document understanding. • Choose models. Choose hosting. Decide what is self-hosted, API-based, fine-tuned, or prompt-engineered. Revisit those decisions as the landscape changes. • Build the serving infrastructure. Latency budgets, batching, caching, fallbacks, graceful degradation. Make it run at scale before scale gets here. • Build the eval loop. Know whether changes make the product better or worse, not just whether the demo works. This is the difference between a real product and a magic trick. • Own the cost model. Track spend per user, per feature, per family. Find the levers (context compression, model routing, pre-computation) that keep unit economics working from a test group to millions. • Define what gets persisted, what gets summarized, and what gets thrown away. The architecture decision of "what does our data look like to an LLM" lives with you. • Set the bar for safety, privacy, and trust at the infrastructure layer. Sensitive categories filtered before they propagate. Encryption, access controls, audit trails built in, not bolted on.

🎯 Anforderungen

• Deep engineering experience, with significant time spent building and running AI systems in production at meaningful scale. Real users, real load, real on-call. • Fluent in modern LLM serving (vLLM, TGI, SGLang, hosted APIs — whatever's right for the job). No religion about it. • You think in evals. You've built harnesses. You know the difference between vibes-based iteration and real progress because you've felt the pain of not having one. • You can build a cloud system from the ground up. Pick the services, wire them together, make them reliable, keep the bill in check. • Strong opinions about cost. You've seen inference bills run out of control and have instincts for where the leaks come from. • AI-native in your daily workflow. Hands-on with Claude Code, Cursor, or equivalent. You think natively in agentic workflows, prompt engineering, context window management, MCP / function calling. • Comfortable deciding with incomplete information. The spec will be a moving target. You don't need it to settle before you start building. • Strong written communication. You write specs, decision records, and playbooks that an agent (and a human) can act on precisely. • Experience with agent systems, retrieval pipelines, or long-context personalization. • Privacy architecture experience in multi-user systems where context is shared across people with different rights to see it. • You've built something where the data itself was the moat — and you understand why that's different from building on public data.

🏖️ Vorteile

• Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer 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. • Employee Assistance Program (EAP) for mental wellness. • Flexible PTO and 12 company wide days off throughout the year. • Learning & Development programs. • Equipment, tools, and reimbursement support for a productive remote environment. • Free Life360 Platinum Membership for your preferred circle.