We are looking for a Sr. 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:
* MS or PhD machine learning, or related discipline.
* Strong experience in building production grade deep learning models for recommendation systems, or related fields.
* Excellent coding and design skills, and proficiency with programming languages such as C/C++, Java, or Python.
* Strong Machine Learning background Proven track record in technically leading and mentoring scientists.
PREFERRED QUALIFICATIONS
* Significant peer-reviewed scientific contributions in premier journals and conferences.
* Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis.
* Experience with defining research and development practices in an applied environment.
* Solid knowledge of big data and cloud technologies (e.g., Spark, AWS, 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, verbal communication, and cross discipline collaboration skills.
* Served as Program Committee member in at least one top tier conference.
