Senior Software Engineer - Infrastructure, Machine Learning (Technical Lead)
$200,000–$250,000 year
Remote · San Francisco, California, United States or United States
San Francisco, California, United States or United StatesRemoteFull Time$200,000–$250,000 yearMid LevelNot SpecifiedUnknown
Type
Full Time
Level
Mid Level
Education
Not Specified
Company size
Unknown
Job Summary
Join Ryder's in-house product development team as a Senior Software Engineer to enhance machine learning infrastructure, tackle complex challenges in distributed systems, and collaborate with Data Science to transform models into resilient, scalable software.
Required Qualifications
- 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
Desired Qualifications
- 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
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