Deep Learning Researcher

  • R&D
  • Israel
  • Full-time

The position:

We are looking for a creative and experienced Deep Learning Researcher to join our growing R&D department. The position aims at exploring and implementing novel solutions for complex computer vision challenges which are at the core of our groundbreaking technology. These solutions will be based, among other fields, on supervised and unsupervised learning of various tasks, sequence modeling, and generative modeling.

A day in the life:

  • Engage in cutting-edge research to address real-world problems for which no “off the shelf” solutions exist. Innovatively harness ideas from the literature – both classics and state-of-the-art advances
  • Cooperate with fellow researchers specializing in an array of different disciplines
  • Work side-by-side with engineering teams, planning how to integrate your solution into the system’s architecture
  • Implement your ideas with production-grade code
  • Lead complete model development cycles. Take ownership of system components serving in production across Trigo’s sites
  • Analyze varied realistic data from stores retrofitted with Trigo’s system
  • See the bigger picture - design deep learning based solutions that take the system as a whole into consideration

You bring to the table:

  • MSc. in Computer Science \ Electrical Engineering \ Mathematics \ Physics \ similar field
  • At least 2 years of industry experience as a deep learning researcher
  • Sound theoretical understanding of deep learning
  • Strong technical abilities in object-oriented programming, preferably in Python
  • Proficiency with at least one of the following frameworks: Keras, PyTorch, TensorFlow, Mxnet
  • A mission-oriented critical thinker with strong problem-solving abilities, and a team player by nature

Nice to have:

  • Academic experience in deep learning research (thesis from a leading institution, publications in prominent journals\conventions)
  • A penchant for ML-Ops aspects, such as scalable training infrastructures, deployment methods, and monitoring practices
  • Familiarity with SQL
Apply now