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Senior Machine Learning Engineer
Posted on 6/21/2022
INACTIVE
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
Computer Vision
C/C++/C#
Pytorch
Kubernetes
Python
Requirements
  • 4-5 years of experience developing solutions using supervised and unsupervised machine learning techniques in computer vision applications
  • Deep understanding of various neural network architectures specifically applied to solve CV problems, such as CNN/LSTM/3DConvs/TCN and transformer based architectures
  • Experience with multimodal classification using a variety of sensor inputs in addition to RGB
  • Should have a deep understanding of concepts like object detection, segmentation, conditional classification, and optical flow
  • Substantial experience with multiple technologies from the following list: PyTorch, Python, Sagemaker, MLFlow, Airflow, Kubernetes, AWS
  • Ability to autonomously take on large areas of undefined work and find the balance between defining scope and meeting business needs
  • Able to take complete ownership of a feature or project
Responsibilities
  • Provide expertise/guidance to solve problems in the computer vision domain relating to person perception and understanding
  • Work with other team members to build/train/deploy deep learning models
  • Hypothesize, design, and conduct various experiments on how we can use novel architectures or new sensors to improve baseline models
  • Provide help to build tools for model training and diagnostics
  • Take ownership of and be a SME for multiple end-to-end projects
Desired Qualifications
  • Experience with C++ and edge deployment
  • Experience understanding fairness and bias pertaining to model development
  • Experience with infrastructure and MLOps
Peloton

1,001-5,000 employees

Live and on-demand boutique studio classes
Company Overview
Peloton uses technology and design to connect the world through fitness, empowering people to be the best version of themselves anywhere, anytime. The company offers a suite of fitness products and services.
Benefits
  • Comprehensive health & life benefits
  • Supporting families
  • Future planning
  • Education
  • Product discounts
  • Supporting our communities
Company Core Values
  • Put members first
  • Operate with a bias for action
  • Empower teams of smart creatives
  • Be the best place to work
  • Together we go far