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Machine Learning Engineer
Business Development Representative

Machine Learning Engineer

with emphasis on Machine/Computer Vision

Your main responsibilities as Machine Learning Engineer with emphasis on Machine/Computer Vision is to develop algorithms that automatically detect, classify, and georeference objects (mainly infrastructure assets or defects) from multiple data sources (mainly optical). You will also select and control imaging hardware, e.g. camera calibration or multi-camera system integration. You are part of an energetic fast-paced start-up team, but must be able to complete assignments independently and on time.

Education and Experience

At least 5 years of directly relevant practical experience in Machine Learning with emphasis on Machine/Computer Vision algorithm development. Experience in most the following areas is required:

  • Develop Algorithms to detect, segment, classify, and georeference objects from image data
  • Image processing from Multi-Camera/Multi-View Systems
  • Stereo Imaging and 3D vision
  • Image Stitching, Homography, Image transformation, Image Rectification, 3D Image Registration
  • Deep Learning and Artificial Neural Networks
  • Structure from Motion
  • Imaging hardware selection and control, e.g. camera calibration or multi-camera system integration
  • Application of algorithms to civil engineer projects.

MS or Ph.D. in an Engineering field related to Machine Learning, Machine/Computer Vision, Data Science, Computer Engineering, Mathematics, or Physics.

Qualifications, Knowledge, and Skills

  • Genuinely excited and enthusiastic about learning and pushing technical limits / finding new solutions
  • Knowledge of traditional Machine Learning Approaches and Techniques
  • Knowledge of traditional Image Processing Approaches and Techniques
  • Strong programming skills including knowledge of: Open CV, Matlab, C++, Python
  • Strong organizational and analytical skills
  • Excellent written and verbal communication skills
  • Attention to detail, data accuracy, and quality of output

Employment Information

The successful applicant will work full-time out of our Burlington MA office and report to the COO/CTO. StreetScan is an energetic, fast paced start-up company in an entrepreneurial environment. The salary will be commensurate with the applicant’s qualifications. StreetScan offers a competitive benefits package, which includes medical and dental benefits. Applicant must be authorized to work in the United States. EOE/M/F/D/V/SO.

Application

Please submit a cover letter and resume to:

1) hr@streetscan.com

OR

2) StreetScan Inc.
c/o Ralf Birken
151 S. Bedford Street
Suite #2
Burlington, MA 01803


Business Development Representative

We are seeking a Business Development Representative to become an integral part of our team. You will gauge sales opportunities and provide extensive customer service to all Municipal clients in New England.

Responsibilities

  • Educate and sell our Smart City Mobile Sensing services to new and existing municipal clients
  • Reach agreed upon sales targets by deadline
  • Close and follow up on sales transactions
  • Investigate and resolve customer issues and complaints
  • Network and build relationships with new and existing client base

Qualifications, Knowledge, and Skills

  • Previous experience in sales, customer service, or other related fields
  • Municipal sales is a plus
  • Technical background in asset management, pavement management, and roads is favorable
  • Strong negotiation skills
  • Deadline and detail-oriented
  • Ability to build rapport with clients

Employment Information

The successful applicant will work full-time out of our Burlington MA office and report to the COO/CTO. StreetScan is an energetic, fast paced start-up company in an entrepreneurial environment. The salary will be commensurate with the applicant’s qualifications. StreetScan offers a competitive benefits package, which includes medical and dental benefits. Applicant must be authorized to work in the United States. EOE/M/F/D/V/SO.

Application

Please submit a cover letter and resume to:

1) hr@streetscan.com

OR

2) StreetScan Inc.
c/o Ralf Birken
151 S. Bedford Street
Suite #2
Burlington, MA 01803