Machine Learning Engineer III, Routing Cost

Навыки

• Airflow
• AWS
• Коммуникация
• Data Quality
• Распределённые системы
• Hadoop
• Обучаемость

О компании и продукте

• The Navigation team https://www.mapbox.com/navigation at Mapbox develops and operates web services powering virtually all of Mapbox’s strategic navigation initiatives in consumer, automotive, and logistics verticals. We are a highly multidisciplinary organization, with work spanning distributed systems on AWS to geospatial localization, traffic telemetry, and mapping.
• Collectively we are revolutionizing in-car experiences with technology to build fast, industry-leading maps and navigation for any vehicle. We’ve launched products such as MapGPT https://www.mapbox.com/mapgpt, Mapbox for EV https://www.mapbox.com/ev, and we’re enhancing the visual experience of in-vehicle navigation with 3D styling with our new Mapbox Standard through web and mobile SDKs. Mapbox has worked with automotive partners https://www.mapbox.com/automotive— including BMW, Toyota, and GM — to bring the best aspects of mobile app development into in-vehicle navigation and infotainment.
• Mapbox Blog: Introducing 3D Live Navigation https://www.mapbox.com/blog/mapbox-3d-navigation
• Mapbox Blog: Route Notifications Improve Driver Safety https://www.mapbox.com/blog/route-notifications-improve-driver-safety

Задачи

• As a Machine Learning Engineer III on the Routing Cost team, you will lead the design, development, and delivery of highly trafficked recommendation systems for our routing cost engine
• Your technical contributions will include
• 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
• Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends
• WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE
• Experience with Reinforcement Learning
• Technical knowledge: Extensive experience with Python, distributed processing pipelines (Hadoop, Spark, Airflow, Dask), and very large datasets – statistical analysis, data quality control, optimizing storage
• Operational excellence: 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
• Ownership & execution: Own the technical vision, lead the strategy and guide the team to execute towards building the future of our routing cost engine
• Customer focus: You care deeply about your customers and their problems, and you work tirelessly to innovate on their behalf
• Growth mindset: Have the humility to accept mistakes, learn and grow from them
• Mentorship: 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
• Data informed mindset: You believe in the value of data informed decision making and strive to measure things that are not straight forward but essential
• You also have the right instincts to make speedy decisions in the absence of perfect & comprehensive data

Требования

• 8-10+ years of backend and ML experience: Extensive hands-on experience showcasing expertise and a strong track record in the engineering field
• Cloud proficiency: Extensive experience with cloud and infrastructure services, including, as well as deploying and managing infrastructure in cloud environments
• 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)

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