We are looking for Infrastructure engineers to develop data storage, compute, and data processing infrastructure for various ML/DL applications. Your work is to integrate ML models and web services in production environment with reliable and scalable infrastructure.
Responsibilities:
o Setup dataset management infrastructure, and define and develop DevOps process and tools.
o AI infra and data-driven tools development. Develop AI and MLOps tools to accelerate the Computer Vision model training pipeline and lifecycle processes.
o Develop algorithms and tools to streamline data collection, data annotation, and dataset building and close-loop AI training process.
o Coordinate with the team managing the GPU hardware cluster to maintain high availability / jobs throughput for Machine Learning.
Qualifications:
o Master’s Degree or above in Computer Science or related areas.
o Proficient in python, and one of other major programming languages such as golang, C/C++, etc.
o Familiar with networking and Linux system commands and shell scripts.
o Familiar with common cloud services (AWS or Google Cloud).
o Debugging and troubleshooting kills.
o Hands-on experience with k8s, a plus. Prior DevOps/SRE experience, a plus.
o Excellent communication skills and cross-team coordination
About Black Sesame Technologies
Our deep learning team helps autonomous vehicles sense and perceive the world. You will play an important role in creating novel algorithms for advanced perception and applying your algorithm on terabytes of data. You will also work closely with other talents in this field in building the next-generation of autonomous sensing algorithms.
To develop algorithms and pipelines for BST projects in intelligent driving technologies. The goal is to apply the state of the art AI algorithms on cars to make driving smarter and safer. Here you will be responsible for developing state of the art algorithms for perception.
H1B Welcome
We welcome H1B transfers with very good support in terms of benefits as well as your career growth in terms of training in various cutting edge technologies.
The company has made an effort to boost international student hiring, offering a variety of openings designed to attract global tech talent. We are dedicated to strengthening our international presence.
Job Type: Full-time
Benefits:
Schedule:
Supplemental Pay:
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Work Location:
Work Location: One location
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