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MACHINE LEARNING ENGINEER, PERSONALIZATION

San Francisco, California
US$880 - US$1600 per day + benefits
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MACHINE LEARNING ENGINEER, PERSONALIZATION

$110-200/HR, CONTRACT

Remote

NO C2C

Are you looking to join a globally recognized leader at the forefront of their transformation? Harnham are working with an industry leader as they undergo a dramatic digital shift. They are looking for a talented senior data scientist that will play an integral role in leading the way towards their newly envisioned high-tech digital identity.

THE COMPANY:

This well established brand is looking to revolutionize the way they service their customers. One of the company's core priorities is to differentiate themselves from their competitors by creating a Netflix style customer experience. With the superior analytics and data led culture, they have the resources to see this vision out. They're building 7 different data science groups, focusing on a variety of problems, from scalability through to automatic content creation using Computer Vision, with a total headcount of 200 people.

This is the opportunity to be a part of one of the most important transitions in the history of one of the worlds most relevant and valuable brands.

THE ROLE:

As the machine learning engineer, you will serve as a technical lead for one of the groups that focuses on developing ML/DL capabilities to create the next gen personalization across the company's digital platforms. You will be working closely with non-technical and technical leadership to develop and productionize solutions as well as lead various projects and deliverables.

In specific, you can expect to be involved in the following:

  • Deploying and optimizing ML/DL models on cloud
  • Leading teams of engineers
  • Communicating with stakeholders and engaging with other teams

YOUR SKILLS AND EXPERIENCE:

The successful Machine Learning Engineer will have the following skills and experience:

  • Advanced education in computer science, physics, mathematics, engineering or related fields
  • Full-time work experience productionizing machine learning and deep learning modes
  • Extensive experience in model management
  • Experience with neural networks and deep learning
  • Tools: Proficiency with Hadoop/Spark and at least one of (java, python, Scala, C++)

THE BENEFITS:

The successful machine learning engineer will receive an hourly rate dependent on experience up to $200/hr.

HOW TO APPLY:

Please register your interest by sending your CV to Hillary Tran via the Apply link on this page.


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MLESF
San Francisco, California
US$880 - US$1600 per day + benefits
  1. Contract
  2. Deep Learning and AI

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