Senior AI Engineer, MapGPT

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $175.1k - $236.9k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Mapbox

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2010

🚘 Automotive

📦 Logistics

✈️ Travel

💰 Venture Round on 2021-04

Automotive • Logistics • Travel

Mapbox is a leading provider of custom online maps, offering APIs and SDKs that allow developers to integrate highly customizable maps into their web and mobile applications. Mapbox's services enable real-time data updates, immersive mapping experiences, and advanced navigation features tailored to specific industries like automotive and travel. Their solutions include Mapbox Studio for map design, Mapbox GL JS for web maps, and various SDKs for mobile and automotive navigation. Companies rely on Mapbox for applications in real estate, logistics, and business intelligence, benefiting from real-time, high-quality geospatial datasets and tools.

📋 Description

• 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

🎯 Requirements

• 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)

🏖️ Benefits

• 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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