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Machine Learning Engineer

  • Location

    San Francisco

  • Sector:

    Data Science

  • Job type:

    Permanent

  • Salary:

    Up to $200,000

  • Contact:

    Jennifer Beltran

  • Contact email:

    jennifer@intelletec.com

  • Job ref:

    JB-009

  • Consultant:

    Jennifer Beltran

About The Company:
Our client is a rapidly growing post-Series B startup. Their mission is to accelerate the development of AI applications. Their first product is a suite of APIs that allow AI teams to generate high-quality ground truth data. Their customers include Alphabet (Google), Zoox, Lyft, Pinterest, Airbnb, nuTonomy, and many more, and they've become an industry standard for the self-driving car market.
 
They are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. They've currently completed millions of tasks a month, and will grow to complete billions of tasks monthly.
 
APIs include: Sensor Fusion, Semantic Segmentation, 2D Boxes/Polygons, Video, 3D Cuboids, Lines & Splines

As a machine learning engineer, you will:

  • Create optimized and efficient tooling 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.

This role could be a fit if you have experience in one of the following:

  • Deep Learning: building CNNs.
  • Classical Machine Learning: non-deep learning methods (random forests, collaborative filtering, HMMs, etc.)
  • 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.

Salary:

  • $130,000 - $200,000 (depending on experience) 
For more information, please contact jennifer@intelletec.com