Engineering Manager, Machine Learning

🕒 Maio 8

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Overstory

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🤖 Inteligência Artificial

⚡ Energia

☁️ SaaS

Artificial Intelligence • Energy • SaaS

A Overstory é uma empresa que fornece inteligência acionável sobre vegetação para concessionárias de energia, visando um gerenciamento de energia mais seguro e confiável. Seu software ajuda as concessionárias a otimizar recursos, mitigar riscos relacionados à vegetação e preparar seus programas operacionais para o futuro, possibilitando uma gestão de infraestrutura mais inteligente e baseada em dados. A Overstory utiliza tecnologia avançada e análises para auxiliar na gestão da vegetação, um fator importante nas interrupções de energia e incêndios florestais. Eles colaboram com concessionárias para desenvolver soluções que se integram perfeitamente aos fluxos de trabalho já existentes.

Descrição

• Enable our Machine Learning and data teams to operate as highly productive, cross-functional teams delivering high-quality ML-driven capabilities • Support teams working with satellite imagery and geospatial datasets, balancing experimentation, iteration, and ongoing improvement of existing solutions • Grow the teams by attracting and hiring great Data and ML talent • Foster an inclusive, supportive, and caring culture where everyone can do their best work • Provide regular 1:1 coaching and feedback to help others thrive, grow, and reach their aspirations • Act as a strategic partner to Product Managers within your domains, ensuring technical decisions balance short- and long-term goals • Ensure the technical approaches within your domains support future product and modelling needs • Work closely with other Product, Design and Engineering leaders on strategy, technology, and people • Help evolve Data and ML practices and introduce ways of working that improve collaboration, delivery, and learning

🎯 Requisitos

• 8+ years of professional experience building ML- or data-driven systems, at least 3 years’ experience leading and managing ML or data-focused teams • Passionate about climate and the role technology can play in addressing environmental challenges • Experience working in a high-growth scale-up or startup environment • Product-minded, with the ability to demonstrate meaningful business impact through technology • Sufficient technical depth in machine learning, data systems, or applied ML to guide teams and challenge decisions • Experience working with python-based ML or data workflows and collaborating closely with data scientists • Strong leadership skills, with a coaching mindset and the ability to support engineers and data scientists at all levels • Excellent communication skills and the ability to collaborate effectively in cross-functional environments • Passion for learning and staying current with evolving technologies and industry trend

🏖️ Benefícios

• Competitive, location-specific compensation and benefits • Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around • Home office stipend, coworking and ongoing education budgets • A company culture that genuinely embodies each of our core values • To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis