ML Software Engineer, ETA

DevExplore; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Mental health benefits

Family building benefits

Child care benefits

Pet benefits

401(k) matching

Discretionary PTO

Parental leave (18 wks)

Commuter benefits

Lyft credits

Lyft Pink membership

Job summary

DevExplore in San Francisco is seeking a data analyst capable of building machine learning and optimization models to improve ETA prediction accuracy. You will write reliable, scalable code and participate in design reviews and on-call support.

Ideal candidates have a strong background in data analysis, ML, and production-grade software development, with experience using big data tools and cloud platforms. Join a fast-growing team shaping transportation analytics.

Qualifications

• Bachelor's, Master's, or PhD in Computer Science or a quantitative field.
• At least 3 years of machine learning experience.
• Proficiency in writing reliable, maintainable code and experience with big data tools is preferred.

Responsibilities

• Perform data analysis and build ML or optimization models to improve ETA prediction accuracy.
• Develop production-quality, scalable code.
• Participate in design reviews and on-call support.

Skills

Machine Learning

Data Analysis

Python

Go

AWS

Kubernetes

Spark

Apache Airflow

Statistical Modeling

Optimization Models

Distributed Data Pipelines

Code Review

Production Support

Software Engineering

Education

Bachelor's, Master's, or PhD in Computer Science or quantitative field

Tools

Spark

Apache Airflow

Kubernetes

AWS

Job description

Perform data analysis and build machine learning or optimization models to improve ETA prediction accuracy. Develop production-quality, scalable code and participate in design reviews and on-call support.

Requirements

Requires a Bachelor's, Master's, or PhD in Computer Science or a quantitative field with at least 3 years of machine learning experience. Proficiency in writing reliable, maintainable code and experience with big data tools is preferred.

Key Skills

Machine Learning, Data Analysis, Python, Go, AWS, Kubernetes, Spark, Apache Airflow, Statistical Modeling, Optimization Models, Distributed Data Pipelines, Code Review, Production Support, Software Engineering

Benefits

• Medical insurance


• Dental insurance


• Vision insurance


• Mental health benefits


• Family building benefits


• Child care benefits


• Pet benefits


• 401(k) plan with company match


• Discretionary paid time off


• 18 weeks of paid parental leave


• Subsidized commuter benefits


• Monthly Lyft credits


• Complimentary Lyft Pink membership