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Machine Learning Engineer III
| Company | Peloton Interactive |
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| Location | Santa Clara, CA, USA |
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| Salary | $176748 – $229772 |
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| Type | Full-Time |
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| Degrees | Master’s, PhD |
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| Experience Level | Mid Level, Senior |
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Requirements
- MS or PhD in Computer Science or a related quantitative field with a focus on computer vision, machine learning and mathematics.
- Strong background in software engineering.
- 2+ years of experience developing solutions using supervised, self-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/GNN/TCN/Metric Learning and transformer based architectures.
- Should have a deep understanding of concepts like object detection, segmentation, conditional classification, pose estimation and optical flow.
- Experience with multiple technologies from the following list: PyTorch, Python, Sagemaker, MLFlow, Airflow, Kubernetes, AWS.
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.
- Willing to learn and passionate about fitness.
Preferred Qualifications
- Prior proven experience on Transformers
- Experience with Pose Estimation techniques
- Experience with C++ and edge deployment
- Experience understanding fairness and bias pertaining to model development
- Experience with infrastructure and MLOps
