Senior Machine Learning Engineer, Deployment (Edge AI)

We are seeking a highly motivated and experienced Senior Machine Learning Engineer, Deployment (Edge AI) to join the Peloton team! As a Senior Machine Learning Engineer, Deployment (Edge AI), you will be responsible for developing models, creating data pipelines and deploying solutions to edge devices. You will need to have a strong technical background in machine learning, data science, computer vision, and systems engineering.This role requires an experienced engineer with a passion for driving innovation, implementing creative solutions and a knack for problem solving. You must have a strong track record of developing, deploying and maintaining machine learning solutions. You must be knowledgeable about the principles and practices of software engineering, data engineering and machine learning. You must be comfortable working in a fast-paced and dynamic environment, and have the ability to work both independently and as part of a team.If you have a strong technical background, a passion for driving innovation, and a desire to make an impact, then we want to hear from you!

According to JobzMall, the average salary range for a Senior Machine Learning Engineer, Deployment (Edge AI) in Santa Clara, CA, USA is $142,500 to $183,500 per year. The salary range can vary depending on experience, qualifications, and the specific company.

Peloton is the largest interactive fitness platform in the world, with a loyal community of more than 5.9 million Members.