Software Engineer, MLOps (Machine Learning)

TL;DR

Software Engineer, MLOps (Machine Learning): Building and maintaining production infrastructure for the full machine-learning lifecycle with an accent on model monitoring, retraining, and distributed systems. Focus on automating model deployment, drift detection, and integrating ML capabilities with the core transportation management platform.

Location: Hybrid in San Francisco, CA (Office: Tue, Wed, Thu; Remote: Mon, Fri)

Salary: $162,000 - $216,000

Company

hirify.global is Ryder's in-house product development group focused on leveraging emerging technologies to redefine transportation and logistics.

What you will do

• Build automated capabilities for model monitoring, retraining, redeployment, and drift detection.
• Productionize ML models from initial concept through deployment and ongoing maintenance.
• Create scalable batch-prediction capabilities alongside real-time machine-learning workflows.
• Design and maintain distributed systems that support data-intensive ML workloads.
• Strengthen the integration between the ML platform and the core transportation management system.
• Collaborate with cross-functional stakeholders to identify automation opportunities across the ML lifecycle.

Requirements

• Advanced proficiency in production-grade Python (L4 or L5 level).
• Strong background in distributed computing and scalable ML infrastructure.
• Hands-on experience implementing, deploying, and productionizing ML algorithms.
• Strong SQL knowledge and experience with caching.
• Must be based in San Francisco, CA to comply with the hybrid work model.

Nice to have

• Experience with Kubernetes, AWS, Kubeflow, Iceberg, Feast, or SageMaker.
• Experience building scalable, self-serving infrastructure for ML teams.
• Background in logistics, transportation, freight, or supply chain.
• Previous experience in technically rigorous environments (large-scale tech or high-growth teams).

Culture & Benefits

• Competitive base salary with cash bonus structure and Long Term Incentive Plan.
• 401(k) with company matching.
• Medical, dental, and vision health coverage.
• Employee Stock Purchase Program with a 15% discount.
• Tech-forward office environment in Hayes Valley, San Francisco.