Software Engineer, Infrastructure - Machine Learning

Ryder; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading company in logistics is seeking a skilled professional in machine learning and data engineering. The role focuses on optimizing ML architecture, implementing distributed systems, and enhancing workflows for data-driven decision-making in transportation logistics. A competitive salary and comprehensive benefits package are offered.

Benefits

Comprehensive health and welfare benefits

Paid time off for vacation, illness, and family leave

401(k) retirement savings plan

Qualifications

• Advanced proficiency in Python in production environments.
• Strong background in distributed computing for scalable infrastructure.
• Experience implementing ML algorithms and deploying systems.

Responsibilities

• Develop and refine data engineering and machine learning frameworks.
• Build robust distributed systems for ML training.
• Enhance real-time machine learning workflows.

Skills

Python

SQL

Machine Learning

Data Engineering

Distributed Systems

Job description

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Job Description :

Responsibilities

• Optimization of ML Architecture:
  • Develop and refine data engineering and machine learning frameworks to boost scalability and enhance system performance.
• 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.
• AI-Driven System Development:
  • Design and enhance cross-mode optimization systems to advance AI-driven approaches in transportation logistics.
• Real-Time ML Workflow Enhancement:
  • Improve real-time machine learning workflows to support dynamic decision-making and automate core operational processes.
    

Required Qualifications

• Production Python Expertise:
  • Advanced proficiency in Python, within a production environment impacting operations.
• Distributed Systems Expertise:
  • Strong background in distributed computing, focusing scalability & high-performance infrastructure.
    
• Machine Learning / ML Ops / Data Engineering:
  • Practical experience in implementing and deploying ML algorithms.
  • Advanced SQL skills, particularly in OLTP systems, and expertise in caching mechanisms.
  • Proficient in data engineering, distributed training, model monitoring, & experiment tracking.

Job Category

Product Development

Compensation Information :

Thecompensationofferedtoa candidate may be influenced by a variety of factors, including the candidate’s relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc.The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/ortype.Compensationranges for the position are below:

Pay Type :

Salaried

Minimum Pay Range :

Maximum Pay Range :

Benefits Information :

For all Full-time positions only: Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan.

Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace .

All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

Security Notice for Applicants :

Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire. During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application throughwww.ryder.com/careers .

Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder [e-mail] or800-793-3754.

Current Employees :

If you are a current employee at Ryder, please click here to log in to Workday to apply using the internal application process.

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