Baton · 1 month ago
Senior Software Engineer - Infrastructure, Machine Learning (Technical Lead)
San Francisco, CA
Full-time
Hybrid
Senior Level
$200K/yr - $250K/yr
5+ years expBaton is Ryder’s in-house product development group focused on harnessing emerging technologies to redefine transportation and logistics. As a Senior Software Engineer within the Machine Learning Team, you will tackle complex challenges in distributed systems and ML operations to enhance our machine learning infrastructure.
Artificial Intelligence (AI)LogisticsSupply 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
Advanced Python proficiency in large-scale production environments
Experience building scalable backend or ML infrastructure using distributed computing techniques
Strong background in AWS and cloud-native data/compute services
Hands-on experience with distributed training pipelines, model serving, and monitoring
Deep familiarity with SQL (OLTP & OLAP), feature engineering, and caching patterns
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
Baton
Baton is a technology innovation lab for Ryder and formerly a technology startup focused on eliminating waste in supply chains.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$13.8M2022-09-01Acquired
2021-03-24Series A· $10.5M
2019-11-20Seed· $3.3M
Leadership Team
Nate Robert
CEO, Cofounder
Recent News
2025-10-23
2024-11-28
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