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As a Senior Software Engineer, you will play a pivotal role in the development of innovative AI applications, services, and tools. You will leverage your extensive experience in applying AI/ML to drive business value, thrive in our fast-paced environment, and contribute to the advancement of emerging technologies. Your past experience in digital media and video will be instrumental in building dynamic workflows and orchestrations for both live and VOD (Video on Demand) content. Your expertise in multi-cloud environments such as AWS, GCP, and Databricks will be crucial in our distributed computing landscape. We work on cutting edge projects using AI that includes building conversational agents using LLMs, generating automatic highlights, contextualizing videos and articles at scale, driving live storytelling, powering bleeding edge consumer products and features.
Job Responsibility:
Design and implement novel and scalable AI solutions for real business problems
Design and implement workflows to generate and manage assets for live streaming and VOD
Build workflow orchestrations that can be readily extended to perform new analyses
Prototype new approaches and productionize solutions at scale for hundreds of millions of active users
Maintain high-level craftsmanship while delivering meaningful results
Mentor junior engineers on the team
Collaborate with peers, engineering leadership, and product management
Requirements:
Experience working in Software Engineering, Data Science, ML Engineering
Strong background in live media streaming and handling VOD content
Expertise in working with live media streaming
Experience working with Vector Database
Strong understanding of generative AI technologies and their underlying mechanisms
Good grasp of distributed system design
Experience with TensorFlow, PyTorch etc.
REST or GraphQL API Design Experience
Proficient with building batch and streaming data pipelines on cloud platforms
Nice to have:
Analyzing broadcast, VOD, and digital streaming video at scale
Creating an SDK for use in Jupyter Notebooks
Proficiency in programming languages like Python and Java
Familiarity with AWS and GCP
Experience with CI/CD tools & Infrastructure as code
Relevant academic work or research in AI/ML, software engineering, or related fields
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