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Lead Computer Vision Engineer

Boston, Massachusetts
US$170000 - US$190000 per annum
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LEAD COMPUTER VISION ENGINEER
ADVERTISING/MARKETING
BOSTON, MA
$170,000 - $190,000 + EQUITY + BONUS

Are you a heavily experienced computer vision professional looking for the next perfect opportunity? Keep reading to learn how you can become the next leader of the computer vision team at this growing company based in Boston.

THE COMPANY

Based in the Boston area, this company is making advancements within an area of computer vision that hasn't really been explored before. They work with several clients within advertising to help them make the best decisions for their company and where/how to spend their money. Using computer vision allows the company to collect data and provide insightful information.

THE ROLE - LEAD COMPUTER VISION ENGINEER

As the lead of the Computer Vision team, you will report directly into the CTO. You will help manage the team while also being hands on.

  • You will help develop and maintain computer vision models
  • You will be training and developing deep learning models
  • You will be programming mainly in Python but also C++
  • You will be actively researching new ideas and approaches for the computer vision team

YOUR SKILLS AND EXPERIENCE

  • Masters or PhD in computer science or related field - with a focus in computer vision
  • At least 2 - 5 years in a leadership role
  • Experience with being a part of the full product life cycle
  • Proven commercial experience with Python, C++, and TensorFlow
  • Strong background in computer vision and machine learning
  • Background in facial recognition and object detection
  • Nice to have - experience in a startup, environment

BENEFITS

As the Lead Computer Vision Engineer, you can expect to earn up to $190,000 (depending on experience).

HOW TO APPLY

Please register your interest by sending your resume to Annie Nasharr via the apply link on this page

KEYWORDS:

Computer vision, advertising, machine learning, python, c++, deep learning, keras, tensorflow, pytorch, algorithms, management, development, research, training, models, facial recognition, object detection, computer science, leadership

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