Machine Learning Engineer III, Routing Cost

🕒 il y a 10 mois

🇩🇪 Allemagne – Télétravail

⏰ Temps Plein

🟠 Senior

🔴 Expert

🤖 Ingénieur Machine Learning

👻 Score fantôme 46%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Mapbox

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2010

🚘 Automobile

📦 Logistique

✈️ Tourisme

💰 Venture Round en 2021-04

Automotive • Logistics • Travel

Mapbox est la principale plateforme de localisation en temps réel pour une nouvelle génération d'entreprises conscientes de leur localisation. Elle est la seule plateforme offrant aux organisations l'ensemble complet d'outils nécessaires pour propulser la navigation des personnes, des colis et des véhicules partout dans le monde. Plus de 3,5 millions de développeurs enregistrés ont choisi Mapbox pour la flexibilité de la plateforme, sa sécurité et sa conformité en matière de confidentialité. Les organisations utilisent les applications, données, SDKs et APIs de Mapbox pour créer des expériences personnalisées et immersives qui ravissent leurs clients.

Description

• Lead the engineering team(s) to execute end-to-end feature implementation within the larger navigation organization (~80 engineers). • Design and build new ML and data pipelines, as well as optimizing existing ML and data pipelines. • Build tools for automated quality assurance and data exploration. • Leverage geospatial algorithms to optimize pipelines, as well as creating automated tuning and outlier detection algorithms. • Partner with data scientists to make improvements to our models for determining patterns in movement and/or traffic. • Mentor colleagues and participate in code and design reviews. • Participate in an on-call rotation to ensure our systems remain available to customers 24/7.

🎯 Exigences

• 8-10+ years of backend and ML experience • Extensive hands-on experience showcasing expertise and a strong track record in the engineering field. • Extensive experience with Python, distributed processing pipelines (Hadoop, Spark, Airflow, Dask), and very large datasets – statistical analysis, data quality control, optimizing storage. • Extensive experience with cloud and infrastructure services, including, as well as deploying and managing infrastructure in cloud environments. • You drive a culture of quality and continuous improvement in your organization. • Strong passion for clean code and robust architecture, with a drive to elevate engineering practices and design standards across the team. • Own the technical vision, lead the strategy and guide the team to execute towards building the future of our routing cost engine. • You care deeply about your customers and their problems, and you work tirelessly to innovate on their behalf. • Have the humility to accept mistakes, learn and grow from them. • Experience mentoring and leading engineering teams developing skill sets and career growth. • Strong written and vocal communication skills. • You can talk and write about complex ideas concisely to a wide audience. • You are able to lead and resolve org-wide technical discussions and are able to collaborate and include input from cross-functional teams (security, devops, data, compliance and product). • You believe in the value of data informed decision making and strive to measure things that are not straight forward but essential.

🏖️ Avantages

• We value high-performing creative individuals who dig into problems and opportunities. • We believe in individuals being their whole selves at work. • We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. • We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. • We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.