Senior AI Engineer, MapGPT

🕒 2 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $175.100 - $236.900 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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Mapbox

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2010

🚘 Automotivo

📦 Logística

✈️ Turismo

💰 Venture Round em 2021-04

Automotive • Logistics • Travel

A Mapbox é a principal plataforma de localização em tempo real para uma nova geração de empresas cientes de localização. A Mapbox é a única plataforma que fornece às organizações o conjunto completo de ferramentas para facilitar a navegação de pessoas, pacotes e veículos em qualquer lugar. Mais de 3,5 milhões de desenvolvedores registrados escolheram a Mapbox devido à flexibilidade, segurança e conformidade com a privacidade da plataforma. As organizações usam aplicações, dados, SDKs e APIs da Mapbox para criar experiências personalizadas e imersivas que encantam seus clientes.

Descrição

• Define product behavior, measurement frameworks, and evaluation systems for non-deterministic behavior • Formulate hypotheses, define correct results, assemble datasets, and gate changes on regression results • Continuously evaluate APIs, SDKs, data representations, and reference applications from end-user perspectives • Identify misuse, integration anti-patterns, and gaps, recommend fixes, and ensure fixes are implemented • Own the MVP against an agreed north star technical design • Balance technical perfection with shipping useful increments • Build data pipelines and tooling for ingestion, conflation, entity resolution, quality checks, and batch and streaming jobs • Track and evaluate external datasets, models, and benchmarks from research and open-source releases • Decide when to adopt existing solutions versus building internally • Design feedback loops and instrument systems to provide reproducible failure context • Convert recurring failures into evaluation cases • Design model-tool boundaries and improve model harnesses • Determine model responsibilities, delegation, and state management • Optimize latency and cost per request through streaming, partial results, caching, model routing, and prompt structure • Build internal CLI, MCP, and other tools for rapid iteration • Share reusable tools with other teams • Conduct code and design reviews • Mentor engineers on evaluation practices • Help answer unresolved technical questions • Participate in a 24/7 on-call rotation to maintain system availability

🎯 Requisitos

• Bachelor's Degree in a STEM discipline • 5+ years of software engineering experience • Production ownership of services, pipelines, or SDKs • 2+ years shipping LLM-backed features to real users • Experience with systems carrying error budgets, on-call rotations, and customer-visible regressions • Data engineering depth including SQL and at least one distributed processing framework • Experience with data pipelines where incorrect records mattered more than slow processing • Fluency with tool calling and agent orchestration, including stale context, hallucinated arguments, silent partial success, and unbounded loops • Strong Python or TypeScript skills • Comfort reading code in other programming languages • Direct experience or deep understanding of evaluations for non-deterministic systems • Experience building datasets and identifying failures through evaluation • Working knowledge of more than one agent harness • Experience diagnosing latency in a distributed request path • Comfort with ambiguity and judgment to ship narrow, working solutions • Participation in an on-call rotation, including potential immediate response outside normal working hours and weekends • Geospatial data experience, routing, geocoding, POI or address data, OpenStreetMap, or conflation of overlapping sources (nice to have) • Public API or SDK design experience (nice to have) • Experience building against MCP or similar tool transports (nice to have) • Experience running evaluations in CI (nice to have) • Automotive, in-vehicle infotainment, CarPlay, or Android Auto experience (nice to have) • Voice pipeline experience including streaming ASR, TTS, barge-in, endpointing, or wake word (nice to have) • Experience working under constrained compute, offline, or intermittent connectivity (nice to have) • Experience operating a product through its first external integrations (nice to have)

🏖️ Benefícios

• Supportive health care • Parental leave • Flexible work arrangements • Teaching and learning opportunities • Private medical coverage for you and your dependents • Generous maternity and paternity leave policies • Inclusive fertility support • Lifestyle Spending Account contributions for health, wellness, and personal growth • Mental health support for you and your dependents • Flexible paid time away • Company holidays • Generous absence policies • Dedicated paid volunteering time • Retirement plans with competitive matching • Hybrid/remote work options

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