Senior Platform Engineer, Blue River Technology
ML Infrastructure
$160-287k
+ Annual performance bonus
More information about location
Agriculture machinery company
Be an early applicant
Agriculture machinery company
201-500 employees
Be an early applicant
$160-287k
+ Annual performance bonus
More information about location
201-500 employees
Company mission
To create intelligent machinery that solves monumental challenges for our customers.
Role
Who you are
- We are looking for a senior software engineer with a strong background in ML infrastructure and platform engineering who is passionate about building the foundational systems that enable machine learning teams to move faster
- 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
- If you’re excited about this role but your experience doesn’t align completely with the job description, we encourage you to apply anyway
Desirable
- 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 the job involves
- Rather than developing ML models, this role focuses on designing scalable platforms, developer tooling, and infrastructure that support the full ML lifecycle across cloud and on-premises environments
- A combination, not necessarily all-inclusive, of the following:
- 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 you own
- Deliver platform solutions with measurable engineering and business impact across multiple teams and use cases
Our take
The global farming market is rigorously growing to keep up with demand. Blue River Technology is a farming equipment maker using computer vision, machine learning, robotics and product management to develop machines that optimize chemical usage and reimagining routine processes within farming.
Acquired by one of the largest names in agriculture - John Deere - Blue River commits to remaining independent in ways of working and culture. The company is also stepping into new-world territory, implementing AI to combat invasive weeds and other large-scale farming issues.
It’s impressive what has been developed by Blue River Technology for an industry that is so heavily relied upon, yet has been slower to digitize. It will be exciting to see how the company develops its idea of autonomous farming into the future picture of the industry.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
15% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Dec 2015
$17m
SERIES B
Mar 2014
$10m
SERIES A
Total funding: $30.1m
Company HQ
Santa Clara, CA
Leadership
Willy Pell
(CEO)Willy joined Blue River Technology in 2012 as a Senior Director of Autonomous Systems, they then became the VP of Autonomy and New Ventures in 2021 and CEO in 2023.
Share this job
View 5 more jobs at Blue River Technology