Machine Learning Engineer

 Peloton Interactive, Inc. seeks Machine Learning Engineer in New York, NY:

Job Duties:  Build and improve machine learning pipelines that power Peloton’s content recommendations. Research and apply best-in-class machine learning techniques for recommender systems. Evaluate, implement, and improve machine learning models. Run A/B tests and experiments and analyze the results in collaboration with the product analysts. Productionize, deploy, and monitor machine learning models and services. Collaborate and work closely with the platform teams to leverage their tools and infrastructure to rapidly iterate on ideas that drive delightful, personalized experiences for millions of users. Telecommuting is an option. Some travel to Peloton offices may be required. 

Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline, and one (1) years of experience in the job offered or in any occupation in related field.  

Special Skill Requirements: (1) Deep learning; (2) Recommender Systems; (3) Spark; (4) CNNs; (5) Computer Vision; (6) Image processing; (7) TensorFlow; (8) PyTorch; (9) OpenCV; (10) Keras; (11) NumPy; (12) Pandas; (13) airflow; (14) mlflow; (15) AWS; (16) Kubernetes; (17) GIT. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is an option. Some travel to Peloton offices may be required. 

Salary: $176,748.00 - $229,772.00 per annum.

Submit a resume with references using the apply button on this posting (Req.# 22-129859)

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