Senior AI Engineer, Location AI

🔥 45 minutes ago

🇫🇮 Finland – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 product hypotheses and validate them with relevant signals • 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 product gaps; recommend and deliver fixes • Own the MVP against an agreed north-star technical design • Build data pipelines and tooling for ingestion, conflation, entity resolution, quality checks, and batch/streaming jobs • Track and evaluate external datasets, models, benchmarks, published research, and open-source releases • Design feedback loops and instrument systems for reproducible failure analysis • Design model-tool boundaries and build or improve model harnesses • Optimize requests for latency and cost through streaming, partial results, caching, model routing, and prompt structure • Build internal CLI, MCP, and related tools; share reusable components • Conduct code and design reviews and develop teammates' evaluation practices • Participate in a 24/7 on-call rotation, including possible weekends and out-of-hours response

🎯 Requirements

• Bachelor's degree in a STEM discipline • 5+ years of software engineering experience with production ownership of services, pipelines, or SDKs • 2+ years shipping LLM-backed features to real users in systems with error budgets, on-call rotations, and customer-visible regressions • Direct experience or deep understanding of designing evaluations for non-deterministic systems • Ability to describe a dataset built and the failure it caught • Data engineering depth: SQL, at least one distributed processing framework, and experience with pipelines where incorrect records mattered more than speed • Fluency with tool calling and agent orchestration, including stale context, hallucinated arguments, silent partial success, and unbounded loops • Working knowledge of more than one agent harness • Strong Python or TypeScript skills and ability to read code in other languages • Experience diagnosing latency in a distributed request path • Comfort with ambiguity and judgment to ship narrow, working solutions • Clear written communication • Nice to have: geospatial data experience, public API or SDK design, MCP or similar tool transports, CI evaluations, automotive/in-vehicle infotainment, CarPlay, Android Auto, voice pipelines, constrained compute/offline/intermittent connectivity, and first external integrations

🏖️ Benefits

• Supportive health care • Parental leave • Flexible work arrangements • Environment of teaching and learning • Private health, dental, and income protection plans tailored to regional statutory benefits • Family care, maternity and paternity leave policies • Lifestyle Spending Account contributions supporting health, wellness, and personal growth • Mental health support for employees and dependents • Paid time away, company holidays, and generous absence policies • Dedicated paid volunteering time in addition to standard PTO • Hybrid/remote work flexibility • 24/7 on-call rotation compensation not specified