About the company Scale is a rapidly growing post-Series B startup. Our mission is to accelerate the development of AI applications. Our first product is a suite of APIs that allow AI teams to generate high-quality ground truth data. Our customers include Alphabet (Google), Zoox, Lyft, Pinterest, Airbnb, nuTonomy, and many more, and we've become an industry standard for the self-driving car market.
We are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly.
Job description
As a machine learning engineer, you will:
Create optimized and efficient tooling, like Guided Automatic Segmentation, for taskers to complete complex tasks with speed and accuracy.
Reliably evaluate data quality at scale.
Intelligently route tasks from customers to specialized taskers for low turnaround and high accuracy.
Automatically hire, train and onboard taskers.
Skills & requirements
This role could be a fit if you have experience in one of the following:
Applied ML Engineering: building large-scale data and machine-learning pipelines.
Requirements:
Experience with TensorFlow and/or Pytorch.
At least a Bachelor’s degree (or equivalent) in a relevant field.
Instructions how to apply Apply at this url: https://Jobhunt.ai/machinelearning-ml-ai-job-ir-Machine-Learning-Engineer-San-Francisco-Scale.html Please mention that you found the job at Jobhunt.ai
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