We are looking for a versatile, creative and experienced Algorithms Researcher to join our elite research department. The position aims to explore and implement novel interdisciplinary solutions to complex challenges in the highly challenging environment of physical retail stores.
Address real-world problems for which no off the shelf solutions exist. Innovatively combine computer vision, classical ML, and signal processing.
Rely on huge data continuously harvested from stores empowered by our companys system.
Collaborate with fellow researchers specializing in an array of different disciplines.
Write production-grade code; Work side-by-side with top notch engineering teams in order to integrate your solutions into our companys system.
See the bigger picture; take the system as a whole into account while designing algorithmic solutions.
Address real-world problems for which no off the shelf solutions exist. Innovatively combine computer vision, classical ML, and signal processing.
Rely on huge data continuously harvested from stores empowered by our companys system.
Collaborate with fellow researchers specializing in an array of different disciplines.
Write production-grade code; Work side-by-side with top notch engineering teams in order to integrate your solutions into our companys system.
See the bigger picture; take the system as a whole into account while designing algorithmic solutions.
Requirements:
MSc./PhD in computer science, physics or another STEM field.
At least 3 years of industry experience developing complex algorithms, from concept to production, in leading companies.
An awesome team-player spirit.
Strong analytical skills, and mission-oriented critical thinking.
Knowledge in classical machine learning theory.
Fantastic coding capabilities, with a penchant for clean code and great design.
Solid proficiency with Pythons scientific computing stack: NumPy, SciPy, and Pandas.
Nice to have
A record of relevant academic research, with publications in leading journals and conferences.
Specific experience in multi-view geometry, time-series modeling, and sensor-fusion.
Industry experience as a software engineer; knowledge in (or willingness to learn) Rust.
MSc./PhD in computer science, physics or another STEM field.
At least 3 years of industry experience developing complex algorithms, from concept to production, in leading companies.
An awesome team-player spirit.
Strong analytical skills, and mission-oriented critical thinking.
Knowledge in classical machine learning theory.
Fantastic coding capabilities, with a penchant for clean code and great design.
Solid proficiency with Pythons scientific computing stack: NumPy, SciPy, and Pandas.
Nice to have
A record of relevant academic research, with publications in leading journals and conferences.
Specific experience in multi-view geometry, time-series modeling, and sensor-fusion.
Industry experience as a software engineer; knowledge in (or willingness to learn) Rust.
This position is open to all candidates.
