Senior Platform Engineer, ML Infrastructure

🕒 Setembro 22

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $160.000 - $287.000 / ano

⏰ Tempo Integral

🟠 Sênior

🏗️ Engenheiro de Plataforma

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Blue River Technology

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2011

🌾 Agricultura

🤖 Inteligência Artificial

🔧 Hardware

Agriculture • Artificial Intelligence • Hardware

A Blue River Technology está na vanguarda da inovação agrícola, desenvolvendo máquinas inteligentes projetadas para melhorar a produtividade agrícola e reduzir os impactos ambientais. Ao integrar robótica, visão computacional e aprendizado de máquina, a empresa está revolucionando a agricultura por meio de uma combinação única de tecnologia do Vale do Silício e trabalho de campo prático. Seu objetivo é enfrentar desafios significativos na agricultura, otimizar o uso de produtos químicos e promover a sustentabilidade global, tudo isso enquanto promove uma cultura empresarial engajadora e colaborativa.

Descrição

• Design, build, and operate scalable ML infrastructure and platform capabilities supporting the full machine learning lifecycle across cloud and on-premises environments • Develop developer tooling, services, and infrastructure enabling ML and engineering teams to build, deploy, and operate production systems more efficiently • Independently lead complex technical initiatives from problem definition and architecture through implementation, production rollout, and ongoing operational ownership • Make architectural and engineering decisions balancing near-term delivery with long-term scalability, reliability, and maintainability • Build reliable, scalable, easy-to-use platform capabilities that improve developer productivity and simplify operations • Partner with ML engineers, infrastructure engineers, and stakeholders to translate customer needs into platform solutions • Solve infrastructure and platform problems involving performance, reliability, scalability, and developer experience • Drive adoption and continuous improvement through engineering-team feedback • Establish high standards for software quality, operational excellence, and production readiness • Deliver platform solutions with measurable engineering and business impact across teams and use cases

🎯 Requisitos

• 5+ years of professional software engineering experience, with a focus on platform, infrastructure, or distributed systems • Strong Python engineering skills, including building production services, SDKs, automation, or platform tooling • Experience designing, building, and operating production platform capabilities used by multiple engineering teams • Understanding of ML platform architecture and the end-to-end ML lifecycle, including experimentation, distributed training, model deployment, and production operations • Experience building and operating applications on Kubernetes and cloud platforms (AWS preferred), with an understanding of production reliability, observability, and operational best practices • Strong technical judgment with the ability to independently lead complex technical initiatives from discovery through production, collaborating effectively with ML engineers, infrastructure teams, and product stakeholders • Visa sponsorship is possible for this position

🏖️ Benefícios

• Annual performance bonus • Competitive benefit package • Recruiting, mentorship, career development, and learning & development programs • Reasonable accommodation for individuals with disabilities • Inclusive workplace that promotes and values diversity

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