Senior Platform Engineer, ML Infrastructure

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $160k - $287k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Blue River Technology

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

🌾 Agriculture

🤖 Artificial Intelligence

🔧 Hardware

Agriculture • Artificial Intelligence • Hardware

Blue River Technology is at the forefront of agricultural innovation, developing intelligent machinery designed to improve farming yields and reduce environmental impacts. By integrating robotics, computer vision, and machine learning, the company is revolutionizing agriculture through a unique blend of Silicon Valley tech and hands-on fieldwork. Their purpose is to tackle significant challenges in agriculture, optimize chemical usage, and drive global sustainability, all while fostering an engaged and collaborative company culture.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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