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  • Published: September 29, 2022
Job Type
Level of education
Level of Hebrew
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
2 years


The position::

We are looking for a creative and experienced Algorithm Researcher to join our growing R&D department. The position aims to explore and implement novel solutions for the complex, multidisciplinary challenges at the core of our ground-breaking technology. These solutions will be based, among other fields, on big data analysis, statistical modeling, machine learning, signal processing, and computational geometry.

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 algorithmic 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
- Have complete ownership of system components serving in production across all of Trigo’s sites
- Analyze varied realistic data from stores retrofitted with Trigo’s system
- See the bigger picture; take the system as a whole into account while designing algorithmic solutions

You bring to the table::

- MSc. in Computer Science \ Electrical Engineering \ Mathematics \ Physics \ similar field
- A mission-oriented critical thinker with strong problem-solving abilities
- A team player by nature
- At least 4 years of industry experience as an algorithms researcher; preferably experienced the full development cycle of machine learning models
- Sound theoretical understanding of classical machine learning
- Strong technical abilities in object-oriented programming, preferably in Python
- Proficiency with Python’s scientific computing stack: NumPy, SciPy, Scikit-Learn, and Pandas
- Basic SQL skills

Nice to have::

- Acquaintance with deep learning theory, techniques, and frameworks (preferably PyTorch)
- Field-specific background in time-series analysis, online learning, sensor fusion, or Bayesian inference
- Experience in deep-learning based solutions, preferably computer-vision problems

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