Machine Learning Engineer • Entry-Level

Who you are

You are a recent PhD graduate with a strong foundation in machine learning and computer vision, particularly in the context of 3D object detection. Your academic background has equipped you with the skills to analyze complex datasets and develop innovative algorithms that enhance perception systems. You have experience with Python and are familiar with frameworks such as TensorFlow and Keras, which you have used to implement machine learning models. You are passionate about applying your knowledge to real-world challenges in autonomous driving and are eager to contribute to a team that values collaboration and research-driven solutions.

Desirable

Experience with large-scale data processing and model training is a plus, as is familiarity with the challenges of deploying machine learning models in real-time systems. You are comfortable working with diverse datasets and have a keen interest in optimizing algorithms for performance and accuracy. You thrive in a research-oriented environment and are excited about the opportunity to collaborate with other experts in the field.

What you'll do

As a Machine Learning Engineer at Waymo, you will be part of the Perception team, where you will develop and optimize models for 3D object detection that enhance the Waymo Driver's ability to perceive its environment. You will work with large datasets collected from various sensors, leveraging your skills to create systems that can learn from real-world data continuously. Your role will involve collaborating with downstream teams to integrate your models into the Waymo Driver, ensuring that they operate effectively in real-time scenarios. You will also conduct research to address practical challenges in autonomous driving, contributing to the advancement of the technology.

What we offer

Waymo provides a competitive salary range of $170,000 to $216,000 USD, along with eligibility for an annual bonus program and equity incentive plan. You will be part of a mission-driven company that is dedicated to improving mobility and safety through innovative technology. The work environment is collaborative and supportive, with opportunities for professional growth and development. You will have access to cutting-edge resources and the chance to make a significant impact in the field of autonomous driving.