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Senior Software Engineer - ML Infrastructure & Platform

United States
Full Remote Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Senior Software Engineer role focused on building scalable ML infrastructure and platform capabilities that support the full machine learning lifecycle across cloud and on-premises environments. Design and operate developer tooling, services, and infrastructure enabling ML and engineering teams to build, deploy, and operate production systems efficiently. Requires 5+ years of software engineering experience with strong Python skills, Kubernetes, and cloud platform expertise (AWS preferred).

Key Highlights
Build scalable ML infrastructure and platform capabilities supporting the full ML lifecycle across cloud and on-premises environments
Develop developer tooling and services that enable ML and engineering teams to build, deploy, and operate production systems more efficiently
Independently lead complex technical initiatives from problem definition through production rollout and ongoing operational ownership
Remote position in the United States with visa sponsorship available
Salary range: $160,000 - $287,000/year plus annual performance bonus and competitive benefits

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Key Responsibilities
Design, build, and operate scalable ML infrastructure and platform capabilities that support the full machine learning lifecycle across cloud and on-premises environments
Develop developer tooling, services, and infrastructure that enable 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 sound architectural and engineering decisions that balance near-term delivery with the platform's long-term scalability, reliability, and maintainability
Build reliable, scalable, easy-to-use platform capabilities that improve developer productivity, simplify operations, and help engineering teams move faster
Partner closely with ML engineers, infrastructure engineers, and other stakeholders to understand customer needs and translate them into effective platform solutions
Identify and solve challenging infrastructure and platform problems, including opportunities to improve performance, reliability, scalability, and developer experience
Drive adoption and continuous improvement of platform capabilities by incorporating feedback from the engineering teams that use them
Establish a high bar for software quality, operational excellence, and production readiness across the systems and capabilities owned
Deliver platform solutions with measurable engineering and business impact across multiple teams and use cases
Technical Skills Required
Python Kubernetes Amazon Web Services

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Benefits & Perks
Visa sponsorship available
Annual performance bonus
Competitive benefit package
Remote work

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Nice to Have
Experience building developer platforms, tooling, or internal services that improve engineering productivity and reduce operational complexity
Experience with workflow orchestration or distributed compute technologies such as Airflow, Kubeflow, Ray, Spark, or similar systems
Experience designing and optimizing distributed, GPU-intensive compute platforms for ML training, inference, or large-scale image processing
Experience supporting production machine learning platforms in computer vision, robotics, or similar domains
Demonstrated technical leadership through architecture, mentorship, or influencing technical direction across teams

Job Description

We’re Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers – farmers, construction crews, and foresters - to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on the small stuff – pixel-by-pixel and task-by-task - leads to big gains.
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Job Overview
Posted Sep 23, 2026
Employment Full-time
Experience Not Applicable
Location United States
Category Devops
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