Job Information
Peloton Interactive, Inc. Machine Learning Infrastructure Engineer in New York, New York
Peloton Interactive, Inc. seeks Machine Learning Infrastructure Engineer in New York, NY:Job Duties: Build and evolve state-of-the-art systems and operations pipelines to accelerate production of the team's Machine Learning (ML) models. Work with ML Engineers and Data Engineers to implement scalable solutions for ML model development, model lifecycle management, and deployment. Build and maintain CI/CD pipelines to automate ML model training, testing, and deployment. Support ML Engineers with Docker and Kubernetes workflows. Expose capabilities that increase the velocity of algorithm and model development and experimentation. Telecommuting is an option. Some travel to Peloton offices may be required.Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering (any field), or closely related quantitative discipline, and one (1) year of experience in job offered or in any occupation in a related field. Special Skill Requirements: (1) BigQuery, (2) Dataflow, (3) GCP tools, (4) Apache Beam, (5) Kubeflow, (6) TensorFlow, (7) AWS, (8) Azure, (9) PyTorch and (10) Python. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is an option. Some travel to Peloton offices may be required. Special Skills can be gained through academic coursework, scholastic achievement, or professional experience.Salary: $127,300.00 - $165,400.00 per annum.Submit a resume with references to: Req.#: 23-137546 via the Peloton Careers webpage: https://www.onepeloton.com/careers or by email at: onlinejobpostings@onepeloton.com.
Minimum Salary: 127300.00 Maximum Salary: 165400.00 Salary Unit: Yearly