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Blue River Technology

Sr Platform Engineer, ML Infrastructure

Blue River Technology · Remote-US

Posted 24 days ago · $160,000 - $287,000

or apply directly on Blue River Technology's site. We never take the application ourselves.

Is this posting real?

This role has been open
24 days
Blue River Technology's roles stay open a median of 62 days
Reposted
No
Salary listed
Yes
100% of Blue River Technology's roles list one
Ghost-job risk at Blue River Technology
high
14 stale, 2 reposted of 18 open
Hiring momentum
25 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-24

Measured from postings appearing on and disappearing from Blue River Technology's own greenhouse board since 2026-08-03. Full hiring picture for Blue River Technology.

About this role

As a Senior Platform Engineer focused on ML Infrastructure at Blue River Technology, you will design and build scalable platforms and developer tooling that support the full machine learning lifecycle. Your role will involve leading complex technical initiatives, collaborating with ML and infrastructure engineers, and ensuring the reliability and performance of the systems you develop. This position emphasizes creating impactful solutions that enhance developer productivity and operational efficiency.

Our read on this posting4.0out of 5
benefits
2/5
freshness
5/5
career value
4/5
role clarity
4/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Blue River Technology as an employer.

What you need

  • 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)
  • Strong technical judgment with the ability to independently lead complex technical initiatives from discovery through production

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

What you get

  • Base pay range of $160,000 - $287,000/year
  • Annual performance bonus
  • Competitive benefit package
  • Visa sponsorship possible

Worth weighing

  • Remote work position
  • No specific mention of required educational qualifications
  • Base pay depends on various factors including experience and location
  • Focus on platform engineering rather than direct ML model development

Summarised from Blue River Technology's posting. Read the full original.

Listed by Blue River Technology on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.

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