
201 - 500 employés
Fondée en 2011
🌾 Agriculture
🤖 Intelligence artificielle
🔧 Matériel
Agriculture • Artificial Intelligence • Hardware
Blue River Technology est à l'avant-garde de l'innovation agricole, développant des machines intelligentes conçues pour améliorer les rendements agricoles et réduire les impacts environnementaux. En intégrant la robotique, la vision par ordinateur et l'apprentissage automatique, l'entreprise révolutionne l'agriculture par un mélange unique de technologie de la Silicon Valley et de travail de terrain pratique. Leur but est de relever des défis importants dans l'agriculture, d'optimiser l'utilisation des produits chimiques et de promouvoir la durabilité mondiale, tout en favorisant une culture d'entreprise engagée et collaborative.
🕒 il y a 1 mois
🇺🇸 États-Unis – Télétravail
💵 $160 000 - $287 000 / an
⏰ Temps Plein
🟠 Senior
🏗️ Ingénieur Plateforme
🦅 Parrain de Visa H1B
👻 Score fantôme 0%
🗣️🇺🇸🇬🇧 Anglais requis
D'où vient cette offre
Publiée sur la page carrières de Blue River Technology, pas via un site d'emploi
Repérée par Remote Rocketship il y a 1 mois
Toujours ouverte sur le site de Blue River Technology. Vérifiée il y a 1 heure.

201 - 500 employés
Fondée en 2011
🌾 Agriculture
🤖 Intelligence artificielle
🔧 Matériel
Agriculture • Artificial Intelligence • Hardware
Blue River Technology est à l'avant-garde de l'innovation agricole, développant des machines intelligentes conçues pour améliorer les rendements agricoles et réduire les impacts environnementaux. En intégrant la robotique, la vision par ordinateur et l'apprentissage automatique, l'entreprise révolutionne l'agriculture par un mélange unique de technologie de la Silicon Valley et de travail de terrain pratique. Leur but est de relever des défis importants dans l'agriculture, d'optimiser l'utilisation des produits chimiques et de promouvoir la durabilité mondiale, tout en favorisant une culture d'entreprise engagée et collaborative.
• 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
• 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
• 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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