Senior Staff AI Engineer
About The Position
This role involves providing and using professional concepts to develop resolutions to critical issues. The engineer will train and fine-tune models using LoRA and other parameter-efficient techniques, design, train, and evaluate multimodal models from scratch, and apply reinforcement learning techniques to model development and optimization. Experience with audio/speech ML tasks such as speaker diarization and speaker identification is also required. The role includes deploying, debugging, and maintaining distributed systems in cloud environments, optimizing inference pipelines using tools like TensorRT, quantization, and pruning, and monitoring and maintaining models in production, including handling data drift and system failures. Responsibilities also include performing data gathering, cleaning, and curation to build high-quality training and evaluation datasets, working comfortably with a gated, continuous deployment workflow that requires unit, component, and integration tests, and applying extensive knowledge of theories, practices, and design matters. The engineer will work on issues that impact program success or address future concepts and products, with implementation requiring a longer-term view that impacts strategic goals and objectives spanning several functions. They will exercise a wide latitude in determining objectives and approaches to critical assignments, possess knowledge of media management strategies and distribution workflows, and work closely with Product and Operations to design and optimize workflows. The role requires applying broad expertise and knowledge in highly specialized fields or several related disciplines and contributing to the development of company objectives and principles to achieve goals. The engineer will work on significant and unique issues where analysis of situations or data requires an evaluation of intangibles.
Requirements
- Expert experience, understanding and knowledge of digital and broadcast production operations and workflows
- 5+ years working with the AWS cloud
- 1+ years working with the Azure cloud
- Strong knowledge of industry trends and best practices
- Strong experience with the C4 model and other traditional design artifacts
- Experience working in an Agile environment
- BS in CS, EE or equivalent experience required
Nice To Haves
- 7+ years of a programming languages such as Java, Golang, Python, JavaScript
- Knowledge with broadcast production or video content management systems
- Familiarity with client-side web technologies (React, Angular, JavaScript, CSS, HTML)
- Familiarity with continuous integration/deployment practices
- Docker, Kubernetes experience a plus
Responsibilities
- Provides, guides and uses professional concepts in developing resolution to critical issues.
- Train and fine-tune models using LoRA and other parameter-efficient techniques
- Design, train, and evaluate multimodal models from scratch
- Apply reinforcement learning techniques to model development and optimization
- Experience with audio/speech ML tasks such as speaker diarization and speaker identification
- Deploy, debug, and maintain distributed systems in cloud environments
- Optimize inference pipelines using tools and techniques such as TensorRT, quantization, and pruning
- Monitor and maintain models in production, including handling data drift and system failures
- Perform data gathering, cleaning, and curation to build high-quality training and evaluation datasets
- Comfortable working with a gated, continuous deployment workflow that requires unit, component, and integration tests
- Applies extensive knowledge of theories, practices and design matters.
- Works on issues that impact program success or addresses future concepts and products. Implementation of solutions requires a longer-term view which impacts strategic goals and objectives spanning several functions.
- Exercise a wide latitude in determining objectives and approaches to critical assignments.
- Knowledge of media management strategies and distribution workflows
- Work closely with Product and Operations to design and optimize workflows
- Apply broad expertise and knowledge in highly specialized fields or several related disciplines
- Contributes to development of company objectives across and principles to achieve goals
- Work on significant and unique issues where analysis of situations or data requires an evaluation of intangibles.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
