Job Overview

job description/preferred qualifications key responsibilities:

• lead and mentor a team of algorithm engineers, providing guidance and support to ensure their professional growth and success.

• develop and maintain the infrastructure required for the deployment and execution of algorithms at scale.

• collaborate with data scientists, software engineers, and product managers to design and implement robust and scalable algorithmic solutions.

• optimize algorithm performance and resource utilization to meet business objectives.

• stay up-to-date with the latest advancements in algorithm engineering and infrastructure technologies, and apply them to improve our systems.

• drive continuous improvement in development processes, tools, and methodologies. qualifications:

• bachelor's or master's degree in computer science, engineering, or a related field.

• proven experience in developing computer vision and image processing algorithm and ml/dl algorithm.

• familiar with high performance computing, parallel programming and distributed systems.

• strong leadership and team management skills, with a track record of successfully leading engineering teams.

• proficiency in programming languages such as python, c++ and cuda.

• excellent problem-solving and analytical skills.

• strong communication and collaboration abilities.

preferred qualifications:

• experience with machine learning frameworks and libraries (e.g., tensorflow, pytorch, scikit-learn).

• experience with gpu architecture and algo development toolkit like docker, apptainer. minimum qualifications

• bachelor's degree plus 8 + years of experience

• master's degree plus 8 + years of experience

• familiar with high performance computing, parallel programming and distributed systems.