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.
A day in the life:
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 retrofitted with our 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 system
See the bigger picture; take the system as a whole into account while designing algorithmic solutions
A day in the life:
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 retrofitted with our 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 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.
