Senior Software Engineer (Marketplace ML Platform)

Waymo LLC

San Francisco, United States of America

2 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

San Francisco, United States of America

Java

Computer Programming

Python

Machine Learning

TensorFlow

Azure

Simulation Software

Feature Engineering

PyTorch

Keras

Information Technology

Marketplace

Data Pipelines

Programming Languages

The Marketplace team builds the core decision systems that keep Waymo running smoothly
They design the algorithms that match riders to vehicles, optimize routing, balance supply and demand, forecast rider demand, and power dynamic pricing
Their work ensures the fleet stays efficient, riders get fast pickups, and the AV network operates safely and profitably across cities
The Platform team is part of the Marketplace engineering: we provide specialized business platforms supporting Marketplace ML and Optimization products
We own and host core ML models used throughout the Marketplace; we automate all parts of the model life cycle, such as feature engineering, training workflows and inference services; we are working on next-generation Marketplace Simulation system capable to run high-fidelity virtual experiments; we also streamline diverse Marketplace Experimentation practices with the goal of providing unified user-friendly Experimentation platform
Implement and scale the core economic engine for Waymo's ride-hailing commercial services
Develop high-level infrastructure code for automatically training and deploying sophisticated optimization and prediction ML models to make Real Time decisions for pricing, matching, and positioning

BS degree in Computer Science or equivalent practical experience
4+ years of experience programming in Back End coding languages such as Java or C+
Experience in building Back End platforms supporting multiple product use-cases/services
Prior Machine Learning Engineering experience in Python using mature ML frameworks such as TensorFlow, PyTorch or Keras
(Desirable) MS in Computer Science, or equivalent practical experience
(Desirable) Experience building and deploying ML/Optimization models into production environments
(Desirable) Experience developing ML data pipelines and ML workflow automation code on top of a mature ML infra
(Desirable) Experience working at another Ride hailing or Marketplace company
(Desirable) Coursework background in ML and Optimization