Video QA Engineer

OSI Engineering

Cupertino (CA)

On-site

USD 41,328 - 61,992

Full time

14 days+

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Job summary

A leading consumer device company in Cupertino, CA is seeking a Video QA Engineer to develop and manage a robust video data framework. This entry-level position involves utilizing LLM workflows and creating fault tolerance mechanisms, requiring collaboration and skills in Python, Kubernetes, and cloud platforms. Compensation ranges from $30 to $45 per hour, based on experience, and the contract spans 12 months with the potential for extension.

Qualifications

2-3 years of experience in a related field.
Experience coordinating containers using Kubernetes.
Proven ability to design robust fault tolerance mechanisms.

Responsibilities

Create and maintain a robust framework for video data.
Design and implement fault tolerance mechanisms.
Utilize LLM workflows for query responses.

Skills

Experience with Python

Experience with LLM inference libraries

Collaboration skills

Experience with Kubernetes

Experience with AWS/GCP

Experience with PyTorch

Experience with API design

Experience writing unit tests

Job description

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This range is provided by OSI Engineering. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$30.00/hr - $45.00/hr

A globally leading consumer device company headquartered in Cupertino, CA is looking for a Video QA Engineer to join their dynamic team!

Job Responsibilities

Create and maintain a robust framework for a combination of on-premises and external cloud video data.
Design and implement robust fault tolerance mechanisms.
Utilize LLM workflows to retrieve queries from remote storage and generate responses.

Required Qualifications

2-3 years of experience
Experience working with Python
Experience working with LLM inference libraries (e.g. vLLM, transformers, or nemotron)
Experience with Kubernetes, including managing tasks given available infrastructure, and coordinating containers
Experience building robust distributed applications that allow graceful failure and recovery
Experience working with AWS/GCP cloud platforms
Experience using basic git functionality, including branching, pull requests, reviews, and merging
Experience writing unit tests
Excellent collaboration skills are required
Experience with PyTorch
Experience with API design