Key job responsibilities:
We are looking for a Senior Applied Scientist with domain expertise in Computer Vision or Recommendation Systems to lead development of new algorithms and E2E solutions. You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also drive publications of original work in top-tier conferences in Computer Vision and Machine Learning. You will be expected to deal with ambiguity! We're looking for someone with outstanding analytical abilities and someone comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go.
BASIC QUALIFICATIONS
– PhD or Master plus experience in Computer Science, Machine Learning or related field.
– Coding and design skills, proficiency with programming languages such as C/C++, Java, or Python.
– Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis.
PREFERRED QUALIFICATIONS:
– Significant peer-reviewed scientific contributions in premier journals and conferences.
– Experience in building production grade deep learning models for computer vision, recommendation systems, or related fields.
– Experience with defining research and development practices in an applied environment.
– Solid knowledge of big data and cloud technologies (e.g., Spark, etc.).
– Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.
– Track record in creating novel algorithms and advancing the state of the art
– Technical writing and cross discipline collaboration skills.
– Background in classical CV algorithms is a plus.
