This position is on the Science team, the team tasked with creating and refining Affectiva’s technology. We are a group of individuals with backgrounds in machine learning, computer vision, speech processing and affective computing. We are looking for great candidates who will contribute ideas and want to help shape the future of this space, and can execute ideas effectively and efficiently.

Responsibilities:

  • Running a multitude of deep learning experiments to:
  • Prototype new ideas
  • Explore a variety of approaches
  • Refine promising ideas into product ready models
  • Explore new methods to leverage Affectiva’s large data-set of spontaneous real-world audio-visual data
  • Patent and publish findings in leading computer vision and machine learning conferences and journals

Qualifications:

  • PhD or Masters in the field of computer vision, machine learning or equivalent job related experience.
  • At least 2 years of experience using deep learning techniques (CNN, RNN, LSTM) on computer vision tasks (object detection and tracking, classification, action recognition)
  • Experience working with deep learning frameworks (e.g. TensorFlow, Keras) including implementing custom layers
  • Experience with Python, SQL
  • Passionate about innovation and pushing state of the art research
  • Demonstrated experience (publications, projects) solving machine learning problems
  • Experience working on the face is not required but is highly desirable (face detection, face recognition, expression recognition, face landmark tracking)
  • Good presentation and communication skills

Additional Information and Company Benefits:

  • Full Time Position located in Downtown Boston
  • Competitive Benefits Package including: Health, Dental, Vision, Life Insurance, Long-Term and Short-Term Disability
  • 401(k) Matching
  • Unlimited PTO
  • Casual Startup office culture, collaborative office space
  • Flexible work schedule
  • Complimentary snacks and drinks, and lunch provided once a week
  • Free Gym – On Site

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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