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Peloton Interactive · 19 hours ago

Senior Machine Learning Engineer

Santa Clara, CA

Full-time

Hybrid

Senior Level

$201K/yr - $247K/yr

Peloton Interactive is a fitness technology company that provides innovative workout experiences through hardware and software. They are seeking a Senior Machine Learning Engineer focused on deploying AI/ML solutions for connected fitness devices, working closely with engineers to ensure successful implementation and performance of machine learning applications.

CyclingFitnessHealth CareWellness

Comp. & Benefits

H1B Sponsor Likely

Hiring Manager

Jordan Rodriguez

Responsibilities

Collaborate and work closely with engineers to translate and deploy new AI/ML solutions for connected fitness devices

Be the voice in the room that guides development work by ensuring work being done by the team is deployable in an end to end system

Ensure model performance remains within expected bounds when promoting experimental models to production

Specifically, you may encounter projects focused on: Temporal modeling, Object Detection, Segmentation, Perception, Multi-modal and Ensembling

Qualification

Computer VisionMachine LearningDeep LearningC/C++PythonML frameworksNeural network architecturesCI/CD environmentCommunication

Required

Hands-on, real-world experience with one or more of Computer Vision, Machine Learning, Deep Learning

Must have proficiency in C/C++ and Python

Proficiency in ML frameworks like PyTorch, Tensorflow, Keras, etc

Ability to quickly translate research work into high-quality production code with a strong sense of good system design

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

Comfortable working with large image and video datasets

Experience working in a CI/CD environment and git

Excellent written and verbal communications skills

Preferred

Hands on experience on Model Compression techniques such as Quantization, Pruning, Distillation

Experience with one of the following frameworks: Qualcomm SNPE, Tensorflow Lite, CoreML or other similar Edge Inference/NN Acceleration frameworks

Experience developing software for consumer products on Mobile SoCs, within the Android NDK framework and/or using CoreML for iOS

Experience developing Deep Learning models, especially for Detection, Tracking, Sequential modeling, Transformers and Few-Shot Learning tasks

Experience with compute offloads to GPU, DSPs, etc

Experience with profiling and tracing tools

Experience with Objective-c, Swift

Benefits

Medical, dental and vision insurance

Generous paid time off policy

Short-term and long-term disability

Access to mental health services

401k, tuition reimbursement and student loan paydown plans

Employee Stock Purchase Plan

Fertility and adoption support and up to 18 weeks of paid parental leave

Child care and family care discounts

Free access to Peloton Digital App and apparel and product discounts

Commuter benefits and Citi Bike Discount

Pet insurance and so much more!

Company

Peloton Interactive

Glassdoor3.5

Peloton is at the forefront of connected fitness, with a powerful and thriving community with Members across the US, UK, Canada, Germany, and Australia.

Founded in 2012

New York, New York, USA

1001-5000 employees

http://www.onepeloton.com

H1B Sponsorship

Peloton Interactive has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2020 (1)