Senior Software Engineer – San Francisco or Boston Area

 

Send resume to doug@skinnerandassociates.com

Location San Francisco or Boston

Salary to 6 figures

Relocation expenses

About the Position
We are seeking an enthusiastic and highly motivated software engineer who joins our R&D team and work in machine learning research, statistical analysis and inferences and development in medical imaging and healthcare industry. The candidate must be a highly analytical and capable C++/C# and/or python programmer with solid experience driving algorithmic solutions from prototype to implementation. He or she should also possess a keen interest in staying up-to-date on new developments in machine learning in both academia and industry, and be able to apply that knowledge to challenging problems across multiple domains.

Responsibilities

  • Research, experiment, build prototypes using new technologies such as machine learning applicable to the proposed solutions.
  • Research, develop, and apply methods for inference and classification from textual and image data
  • Develop new algorithms and methods for finding hidden relations and trends from large data.
  • Design experiments to answer targeted questions.
  • Conduct exploratory data analysis in high dimensions.
  • Develop NLP or other text analytic components

Minimum Requirements

  • MS or PhD in Computer Science, Machine Learning, Statistics or related background.
  • Solid background in image analysis
  • Strong coder in C++/C# and Python
  • Demonstrated an ability to work independently with excellent communication skills
  • Ability to research and I tune with developments in academia and industry
  • Experience in GPU is a plus
  • Background in database is a plus

Preferred Qualifications

  • Computer Science degree, or MS degree, or equivalent knowledge with a focus on machine learning, vision/ image analysis, mathematics and/or statistics
  • Broad work experience with large data sets and/or image analysis
  • Strong experimental design and analysis skills.
  • Strong interest in medical imaging and healthcare industry

Education

  • Masters or Doctoral degree in the Computer Science related field.

t