Senior Staff AI Engineer

Senior Staff AI Engineer

Location

remote, REMOTE, us, Remote

Job Description

Responsibilities

• Provides, guides and uses professional concepts in developing resolution to critical issues.
• Train and fine-tune models using Lo RA 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 Tensor RT, 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

Qualifications and 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
• Desired Characteristics
• 7+ years of a programming languages such as Java, Golang, Python, Java Script
• Knowledge with broadcast production or video content management systems
• Familiarity with client‑side web technologies (React, Angular, Java Script, CSS, HTML)
• Familiarity with continuous integration/deployment practices
• Docker, Kubernetes experience a plus
• BS in CS, EE or equivalent experience required
• Additional Information

All your information will be kept confidential according to EEO guidelines.

EEOC and Veteran Documentation

During employment, employees are treated without regard to race, color, religion, sex, national origin, age, marital or veteran status, medical condition or handicap, or any other legally protected status.

At times, government agencies require periodic reports from employers on the sex, ethnicity, handicap, veteran and other protected status of employees.

The purpose of this Administrative EEO Record is for statistical analysis only and is used to comply with government record keeping, reporting, and other legal requirements.

Periodic reports are made to the government on the following information.

The completion of the Administrative EEO record is optional.

If you choose to volunteer the requested information, please note that all

Administrative EEO Records are kept in a Confidential File and are not part of your Application for Employment or Personnel file.

Please note: YOUR COOPERATION IS VOLUNTARY. INCLUSION OR EXCLUSION OF ANY DATA WILL NOT AFFECT ANY EMPLOYMENT DECISION.

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