Optimization Algorithms Researcher

The position:

We are looking for a talented Optimization Algorithms 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 complex optimization problems, big data analysis, statistical modelling, machine learning 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
• 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
•  Take 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:

• PhD or MSc. in Physics \ Mathematics \ Electrical Engineering \ similar field
• Experienced with solving multi-variable optimization problems
• Sound theoretical understanding of classical machine learning
• Strong technical abilities in object-oriented programming, preferably Python
• Proficiency with Python’s scientific computing stack: NumPy, SciPy, Scikit-Learn, and Pandas
• Basic SQL skills
• A mission-oriented critical thinker with strong problem-solving abilities and a team player by nature

Nice to have:

• Industry experience as an algorithms researcher; preferably experienced the full development cycle from idea to production
• Acquaintance with deep learning theory, techniques, and frameworks (preferably PyTorch)
• Field-specific background in calibration, time-series analysis, multi-view geometry, online learning, sensor fusion, or Bayesian inference