Ryder System, Inc. · 9 hours ago
Staff Software Engineer, Infrastructure - Machine Learning
San Francisco, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$250K/yr - $330K/yr
5+ years expRyder System, Inc. is seeking a Staff Software Engineer specializing in Infrastructure for Machine Learning. The role involves owning core ML infrastructure, building distributed systems, and leading the development of ML Ops systems to enhance operational processes.
TransportationLogisticsFleet ManagementSupply Chain Management
Responsibilities
Own Core ML Infrastructure:
Build and scale distributed systems for ML training, serving, and inference
Design and implement real-time ML workflows that power core product features
Implementation of Distributed Systems:
Build robust distributed systems tailored for efficient ML training and seamless operational deployment
Feature Engineering Enhancement:
Streamline and manage both online and offline feature stores, optimizing feature engineering processes for greater efficiency
Real-Time ML Workflow Enhancement:
Improve real-time machine learning workflows to support dynamic decision-making and automate core operational processes
Platform Level Ownership:
Lead the development of ML Ops systems, including model deployment, monitoring, and experiment tracking
Architect and manage scalable feature stores for online and offline usage
AI-Driven Optimization:
Contribute to agentic AI systems for freight matching, ETA prediction, and load scheduling
Support systems that improve Stop Estimation Accuracy and Cross-Mode Optimization
Production Ready Engineering:
Write production-grade Python that operates at scale, with reliability and performance top of mind
Collaborate across engineering and data science to turn models into resilient software systems
Qualification
Required
Production Python & Distributed Systems Expertise
Advanced proficiency in Python at a Staff Level
Must be within a production environment where the code directly impacts operations
Experience in distributed computing, scalable ML infrastructure, & high-performance engineering
Machine Learning (MLOps)
Scales ML infra for multiple teams and use cases
Experience implementing and serving ML algorithms
Ensures reproducibility, lineage, and experiment rigor
Owns end-to-end ML systems: training, deployment, features, monitoring, rollback
Hands-on experience with data engineering, distributed training, model monitoring, and experiment tracking
Breadth of knowledge and applied experience across multiple ML applications, with proven ability to leverage a wide range of tools, frameworks, and systems
Technical Leadership & Cross-Functional Influence
Leads design and delivery of large-scale ML or distributed systems
Defines reusable patterns, standards, and architectures
Drives decisions that improve reliability, latency, and developer velocity
Sets technical direction and elevates ML engineering standards
Communicates vision and trade-offs across disciplines
Can Mentor other ML engineers on the team
Preferred
5 to 8 years of backend or ML infrastructure experience
Proven track record building production ML workflows at scale
Experience in industry logistics, transportation, or freight is a bonus
Benefits
Competitive Base Salary
Long Term Cash Incentive Plans
Annual Company Bonus
401k with Matching
Hybrid Work Schedule
Comprehensive Health Coverage
Hyper-Stable, publicly traded Enterprise
Employee Stock Purchase Program (15% discount to market value)
Collaborative, Tech-Forward, Cozy office environment in Hayes Valley
Company
Ryder System, Inc.
We perfect the supply chains people depend on.
10001+ employees
H1B Sponsorship
Ryder System, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (53)
2024 (45)
2023 (39)
2022 (54)
2021 (54)
2020 (36)
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-01-13IPO
Leadership Team
Robert Sanchez
Chief Executive Officer
John Diez
President and Chief Operating Officer
Recent News
Benzinga.com
2026-02-12
2026-02-05
MarketScreener
2026-01-06
Company data provided by crunchbase