Machine Learning Engineer III, Routing Cost

Job not on LinkedIn

🔥 0 minutes ago

🇵🇱 Poland – Remote

💵 $102k - $153k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 Machine Learning Engineer

👻 Ghost score 1%

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

• Lead engineering teams in end-to-end feature implementation within the Navigation organization • Design and build new machine learning and data pipelines • Optimize existing machine learning and data pipelines • Build tools for automated quality assurance and data exploration • Use geospatial algorithms to optimize pipelines • Create automated tuning and outlier detection algorithms • Partner with data scientists to improve movement and traffic pattern models • Mentor colleagues and participate in code and design reviews • Participate in an on-call rotation to maintain system availability 24/7

🎯 Requirements

• 8-10+ years of backend and ML experience • Extensive experience with Python • Experience with distributed processing pipelines, including Hadoop, Spark, Airflow, and Dask • Experience working with very large datasets, including statistical analysis, data quality control, and storage optimization • Extensive experience with cloud and infrastructure services and deploying/managing cloud infrastructure • Experience mentoring and leading engineering teams • Strong written and vocal communication skills • Ability to collaborate with security, DevOps, data, compliance, and product teams • Ability to participate in a 24/7 on-call rotation, including possible weekend and after-hours responses • Thoughtful integration of AI into engineering workflows

🏖️ Benefits

• Supportive health care • Parental leave • Flexibility for the things that come up in life • Teaching and learning environment • Tools needed to be successful in the function and company • Diverse and inclusive workplace